Location: San Francisco, CA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Enforcement Lead, you will be responsible for managing and executing enforcement actions across our products and services, with a focus on detecting and mitigating attempts to misuse Anthropic's AI systems for malicious cyber operations. Your work will center on developing strategic enforcement frameworks for flagged activity related to cyberattacks, malware development, and offensive exploitation. Additionally, you will manage a team of Cyber Enforcement Analysts and contractors implementing this enforcement strategy.
Safety is core to our mission, and you'll help uphold policy enforcement so that our users can safely interact with and build on top of our products in a harmless, helpful, and honest way.
Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, technical, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Key responsibilities
Manage a team of Cyber Enforcement Analysts and contractors, overseeing the vision of Cyber Enforcement strategy
Create strategies to detect and mitigate potential misuse of AI systems to facilitate cyberattacks, malware creation, exploitation tooling, and related harmful cyber operations
Collaborate with stakeholders regarding novel, ambiguous, or high-severity cases
Collaborate with the Safeguards Policy Design Team on policy gaps surfaced through real enforcement scenarios
Partner with Engineering and Data Science teams to ensure tooling and measurement support enforcement operations.
Keep up to date with emerging AI policy enforcement best practices, threat actor tactics, and the evolving cyber threat landscape, using these to inform enforcement decisions
Minimum qualifications
Experience as a people manager
Experience in cybersecurity, including knowledge of offensive techniques, exploit development, malware analysis, or vulnerability research
Experience performing content review, abuse investigations, or policy enforcement at volume
Proficiency in SQL and/or Python for data analysis and threat detection
Experience identifying emerging risks and communicating findings to a diverse set of stakeholders, such as Product, Policy, Engineering, and Legal teams
Experience working with generative AI products, including writing effective prompts for content review and enforcement
Preferred qualifications
Experience in trust & safety, abuse investigations, cybersecurity investigations, or threat intelligence in a technology or AI company
Experience with large language models and an understanding of how AI technology could be misused for cyber operations
Experience operating within abuse monitoring programs or enforcement review systems
Understanding of the challenges involved in implementing product policies at scale, including in the content moderation space
Experience working with government agencies, regulated environments, or information sharing communities
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$285,000
—
$330,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top digital native enterprises, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.
The ideal candidate will have a passion for developing new market segments, pinpointing high-potential opportunities, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue within a book of strategic digital native accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases
Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your account's landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead expansion by pinpointing new use cases and business units. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic account
Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solution
Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify robust set of business drivers behind all opportunities
Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency
You may be a good fit if you have:
10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders
Experience selling emerging technologies or complex solutions to large digital native companies. Ability to navigate technical evaluations and translate complex capabilities into business value
A strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives
Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups
A consultative sales approach with focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor
Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders
Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions
A high level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously
A passion for AI and emerging technologies with enthusiasm for helping organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is seeking a Regulatory Counsel to lead our legal work on AI regulation in the United States and to support our global AI regulatory posture.
In this role, you will be an in-house regulatory lawyer for Anthropic's US AI regulation and a key contributor to our global frontier AI compliance strategy. You will provide regulatory-readiness counseling as new laws are developed, day-to-day advice once they are in force, and legal support for Anthropic's non-contentious engagement with US regulators and standards bodies. While the role is US-focused, AI regulation is inherently global: you will help ensure a consistent worldwide compliance posture, coordinate closely with colleagues leading our EU and international workstreams, and contribute to EU AI Act and other international work where it overlaps with your areas. You will work at the intersection of novel legal questions, fast-moving product development, and a high-profile regulatory environment, cross-functionally with Legal, Compliance, Safeguards, Security, Policy, Research, and product teams.
Key responsibilities
Serve as one of Anthropic's lead in-house regulatory counsel for US AI regulation, covering applicability analysis, readiness, day-to-day advice, and compliance-program design
Own US regulatory compliance deliverables end to end, such as published safety and transparency frameworks, model documentation obligations, and incident-reporting requirements
Track legislative, regulatory, and standards developments across US federal and state jurisdictions (and internationally where relevant), assess applicability and impact on Anthropic's business and products, and design compliance approaches well in advance of obligations taking effect
Counsel legal, compliance, safety, security, and business teams on day-to-day regulatory questions once laws are in force, translating complex and often ambiguous requirements into practical guidance and scalable compliance programs
Support Anthropic's engagement with US AI regulators, enforcement agencies, and standards bodies — including notifications, information requests, reporting obligations, and voluntary framework and standards processes — in close partnership with Policy
Partner with Anthropic's Policy and Policy Legal teams on pre-legislative and rulemaking engagement, including comment letters and regulatory submissions, translating policy positions into legally-grounded regulatory positions
Partner with Anthropic's Litigation and Regulatory Investigations Legal teams on litigation and regulatory enforcement concerning AI regulation
Contribute to Anthropic's global frontier AI regulatory work where it intersects with US obligations
Minimum qualifications
JD from an accredited law school and active membership in at least one US state bar
Hands-on experience advising a technology business (in-house or at a leading law firm) on emerging regulatory regimes, including taking questions from first read of a statute through to a documented compliance position and a shipped artifact
Experience engaging with regulators, enforcement agencies, or standards bodies in a non-contentious supervisory capacity
Experience drafting regulatory compliance deliverables, such as compliance policies, regulatory submissions, or published compliance frameworks
Ability to communicate complex legal concepts clearly to technical, policy, product, and business audiences
Preferred qualifications
8–12 years of regulatory legal experience, with substantive depth in technology regulation and hands-on exposure to AI-specific frameworks
Direct experience with frontier AI regulatory regimes — California SB 53, the Colorado AI Act, or comparable state laws; or the EU AI Act and GPAI Code of Practice
Experience at a frontier AI company, large technology platform, or other hyper-scaling technology business operating under novel regulatory regimes
Familiarity with adjacent laws that intersect with AI regulation — e.g., privacy and data protection, consumer protection, product safety, and export controls
Familiarity with model evaluation, capability testing, or AI safety concepts
A background that combines private practice and in-house experience
Comfort with ambiguity and the ability to develop novel compliance approaches in areas without established precedent
Strong organizational skills to run several workstreams in parallel and keep compliance artifacts current without prompting
Excellence at cross-functional collaboration
Passion for responsible AI development and getting the balance right between innovation and appropriate safeguards
Understanding of how to build constructive long-term relationships with regulators and standards bodies
Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$335,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
A large and growing share of Claude usage reaches customers through our cloud partners — Amazon Bedrock, Google Cloud's Agent Platform, and Microsoft Foundry. These surfaces require bespoke solutions so our approaches have to be designed for third-party distribution from the start. In this role you will own how Anthropic's model safeguards, fraud defenses, and compliance posture show up on every cloud.
Responsibilities:
Model Safety Across Clouds
Own the multi-cloud strategy and roadmap for our safeguards — data retention, automated review, human review, and enforcement — designed to fit each partner's operating model
Design product experiences and operations paths for managing eligibility criteria, verification paths, and the controls attached to differentiated capabilities for higher-trust organizations
Build threat-intelligence sharing with AWS, Google, and Microsoft so misuse is detected and acted on consistently across surfaces
Drive our transparency commitments to customers and partners on data access, review, and enforcement
Fraud & Abuse
Own fraud and abuse defenses for partner-sold offerings: bot and mass-registration abuse, pre- and post-sale risk controls, and chargebacks where the partner owns billing
Define the fraud signals we exchange with each cloud partner and turn them into product requirements that influence growth initiatives
Cross-functional Leadership
Engage directly with enterprise security, risk, and compliance leaders to understand their requirements and turn them into roadmap priorities
Be Anthropic's product counterpart to trust & safety, security, and compliance teams at AWS, Google, and Microsoft
Work with Safeguards, Inference, Policy, Security, Legal, and multi-cloud engineering to ship one coherent set of controls across three clouds
Partner with sales and partnerships to support enterprise evaluations where data-handling and safety requirements are decisive
Work with marketing and partner teams on how we position our safeguards externally
Minimum requirements:
Have 10+ years of experience.
Have 5+ years of product experience in platform product roles on high-scale, enterprise- or developer-facing software.
Operate with high autonomy in ambiguous, fast-moving environments, with a track record of executing across teams and organizations.
Are an excellent written communicator and able to drive clarity out of complexity.
Are equally fluent in policy nuance and systems detail, and can explain the tradeoff between them to lawyers, engineers, go to market teams, and partner executives alike.
Preferred requirements
Prior product experience in trust & safety, security, privacy, or compliance.
Have built or shipped products with a hyper-scaler as a partner — you know how to align strategic goals and deliver impact over multiple quarters in partnership with an external third party
Have owned a top line revenue target while being held to counter-risk outcome — a fraud-loss number, an abuse rate, a compliance authorization, an enforcement program — not just a product roadmap.
Direct experience on a trust & safety, fraud, or security product team at AWS, GCP, or Azure — or at an ISV that ships through one of their marketplaces.
Background in AI safety, content moderation, or abuse-detection systems.
Designed incident-response or escalation processes that span more than one company.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$305,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York HQ
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
We’re hiring a GTM Engineer to build the data, systems, and growth infrastructure behind Avoca’s next stage of growth.
Our ambition is to build a world-class GTM engine. We’re looking for someone excited to build AI-powered systems that give a small team enormous leverage and have an outsized impact on revenue.
You’ll build the engine behind our outbound motion: mapping and enriching our target market, finding the signals that indicate which accounts are most likely to buy, and turning those signals into relevant outreach and timely action for our Sales team. You’ll also build and scale our autonomous outbound email program from the ground up, using AI-powered workflows to run personalized campaigns to thousands of accounts, while maintaining strong sending infrastructure and deliverability.
Beyond outbound, you’ll build the data pipelines, integrations, automations, and internal tools that make our Growth and Sales teams more effective. This is a builder-operator role: you’ll put the systems you create into practice, learn from their performance, and keep improving them. We’re looking for someone with the technical ability to build complex systems and the commercial judgment to focus that work on qualified pipeline and revenue.
You’ll report directly to the Head of Growth and work closely with Sales and RevOps to turn better data, signals and workflows into pipeline.
WHAT YOU’LL DO
- Build, run, and scale our autonomous outbound email engine end-to-end: from campaign strategy and execution to sending infrastructure, deliverability, measurement, and optimization — turning it into a major source of qualified pipeline
- Build and ship AI agents and GTM workflows for prospect research, account prioritization, personalization, content development and other repeatable work; continuously identify new opportunities to automate and expect to launch new agents regularly
- Map and enrich Avoca’s total addressable market, building the reliable account and contact data that powers our campaigns and outbound SDR motion
- Identify, test, and activate buying signals that surface the right accounts at the right time and trigger relevant outreach or rep action
- Build the integrations, automations, and internal tools that connect our data sources, CRM, enrichment providers, outbound platforms, and Sales workflows
- Partner closely with SDRs, Sales, and RevOps to improve targeting, lead routing, rep productivity, and the conversion of signals into pipeline
- Evaluate our GTM technology stack and decide what to buy, build or automate
WHAT YOU’LL BRING
- 3+ years of experience in GTM engineering, growth ops, outbound, or another technical GTM role in a B2B environment
- A track record of building and operating large-scale outbound email programs that generated qualified pipeline
- Deep knowledge of outbound infrastructure and deliverability, including domain and inbox provisioning, authentication, warm-up, rotation, bounce management, and sender reputation
- Demonstrated expertise building AI-powered workflows for research, segmentation, personalization or campaign execution
- Hands-on experience building sophisticated workflows in tools such as Clay, Claude Code, n8n, Make, Zapier, Smartlead, or similar platforms
- Strong technical foundations and comfort working with APIs, webhooks, data integrations, and conditional logic; working knowledge of SQL, Python, or JavaScript
- Experience building, enriching, and maintaining large account and contact datasets using multiple data providers and enrichment waterfalls
- Strong commercial judgment and the ability to turn customer, market, and behavioral data into repeatable growth systems that create pipeline
WHO YOU ARE
- You’re a builder who wants to own both the system and the business outcome
- You combine technical depth with commercial instinct and can move comfortably between building AI-powered workflows, campaign strategy, and pipeline review
- You’re deeply curious and enjoy uncovering unconventional data, signals, and workflows that create alpha
- You move quickly, test pragmatically, and make good decisions without waiting for perfect data or an established playbook
- You’re rigorous about the details
- You build for the people using your systems and work closely with Growth, Sales, and RevOps to understand what they actually need
- You’re high-agency, resourceful, and excited to work in person in NYC with an ambitious team that moves quickly and holds a high bar
BONUS POINTS
- Experience building signal-based outbound for a mid-market sales motion
- Experience supporting or working closely with a scaled SDR organization
- Experience in vertical SaaS, home services, or another market with a large, identifiable universe of target businesses
- Experience building agentic workflows, AI-powered internal tools, or autonomous GTM systems from scratch
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Monthly wellness stipend
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected on target earnings for this role is $160,000-$210,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: New York HQ
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
We’re hiring a Growth Lead, Performance to build and scale the acquisition engine that powers Avoca’s next stage of growth.
Your initial focus will be building and scaling our paid acquisition channels, starting with paid social and paid search, into meaningful sources of qualified pipeline. You’ll own these channels end to end: from strategy and execution to creative testing, conversion, measurement, and optimization.
But your mandate won’t stop at paid acquisition. We’re looking for a growth builder with broad demand generation instincts who can identify new opportunities, build channels from scratch, and turn what works into repeatable engines. You’re equally comfortable setting strategy and getting into the details of a campaign, creative concept, landing page, or experiment.
The scope is wide and the whitespace is real. We’re looking for a smart, high-agency person who builds their own leverage. You’ll report directly to the Head of Growth and work on the company’s highest-priority channels and growth bets.
WHAT YOU'LL DO
- Build and scale paid social and paid search into major revenue drivers for our business
- Own paid acquisition end to end, including strategy, execution, budget allocation, creative testing, conversion, measurement, and optimization
- Build a high-velocity experimentation engine across audiences, messaging, creative, offers, and landing pages
- Translate customer insights and performance data into campaigns that resonate with home services operators and drive qualified pipeline
- Set performance targets and allocate investment based on pipeline, CAC, channel efficiency, and revenue
- Partner closely with Sales, RevOps, Product Marketing to ensure a tight feedback loop on ICPs, lead quality, SLAs and pipeline handoff process
- Use AI and automation to increase the speed and quality of campaign development, analysis, and experimentation
- Identify, test, and scale growth channels beyond paid acquisition, turning the most promising opportunities into repeatable growth engines
WHAT YOU’LL BRING
- 5+ years of experience in performance marketing, growth marketing, or demand generation, ideally at a fast-growing B2B technology company
- A strong track record of personally building and scaling paid social programs, with deep expertise in Meta
- Strong paid search experience and fluency across the acquisition funnel, from media and creative through conversion and measurement
- Experience owning meaningful budgets and making investment decisions based on pipeline quality, marginal efficiency, and growth potential
- A history of managing toward qualified pipeline and revenue, not just leads, clicks, or platform-reported conversions
- Strong analytical and creative instincts, with the ability to turn customer insight and performance data into clear hypotheses and compelling campaigns
- Broad growth experience and the ability to build, test, and scale channels beyond paid media
- Fluency with AI tools and a bias toward using automation to increase your output and learning velocity
WHO YOU ARE
- You’re a builder who wants to own both the work and the outcome, from setting the strategy to launching and optimizing the campaign
- You have deep performance marketing expertise, but you don’t define yourself solely by paid media — you’re energized by finding and building whatever channel can move the number
- You think in terms of qualified pipeline, CAC, and revenue while caring deeply about the details that drive them
- You combine analytical rigor with strong creative judgment and understand that the message and offer matter as much as the media plan
- You move quickly, run disciplined experiments, and make clear decisions even when the data is imperfect
- You create clarity in ambiguous situations and don’t need an established playbook, a large team, or perfect information to make progress
- You’re curious, resourceful, and willing to roll up your sleeves — no task is too small when it helps move the company forward
- You want to work in person in NYC with an ambitious team that moves quickly and holds a high bar
BONUS POINTS
- Experience marketing to mid-market buyers in a high-velocity sales motion
- Experience in vertical SaaS or home services
- A track record of building new growth channels from zero and scaling into meaningful sources of pipeline
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected on target earnings for this role is $160,000–$210,000, with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca's total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
About the role
Sentry is looking for a talented Technical Enablement Director to help drive usage and adoption of our platform through education and enablement. This position will be responsible for strategy, planning, and end-to-end execution of training and educational programs, both internal for our employees, and external for our customers and partners.
You are part product evangelist, part multimedia content producer, part teacher who loves to inspire and educate customers. You are a dynamic, thoughtful, creative professional who can translate technology with compelling stories, and uses analytical skills to drive continuous improvement.
You will partner closely with cross-functional stakeholders including Marketing, Product, Engineering, and Design. This is a uniquely strategic and operational role with a mix of both internal and external responsibilities.
This role requires strong technical expertise and a deep understanding of the Software Development Life Cycle (SDLC) and related technologies. If you’re a technologist with experience working with technical products in customer-facing roles—and you’re eager to join a fast-growing team delivering real value through an exceptional product—we’d love to meet you.
In this role you will:
- Become a Sentry product expert: be intimately familiar all product capabilities, and how how customers are using the product
- Own the Sentry University virtual learning platform: prepare the curriculum, build the different learning units, create the content, and manage the overall user experience
- Create a comprehensive training strategy to enable our customers to quickly ramp on our platform, and accelerate their TTV
- Build out and operationalize an engaging certification program for customers, partners, and employees.
- Design and own all end-user training content that will be used by CSMs and SEs to deliver to our customers and prospects
- Create and deliver an instructor-led training curriculum that would inspire customers to use our product, through virtual group training, and in-person workshops (when it’s safe to travel!)
- Work in close partnership with sales and marketing to track progress of leads within the Sentry University
- Collaborate with Product and Engineering to ensure the enablement materials are always up to date, continuously update as needed, and meet standards of company branding, messaging and design.
- Develop programs and training materials to drive the onboarding and ongoing technical enablement of our technical customer facing teams for topics related to our space (logging, monitoring, cloud, etc).
- Develop KPIs that measure adoption and effectiveness of the training programs.
You’ll love this job if you:
- Enjoy talking about technology and interfacing with engineers and engineering leaders
- Are looking to make an impact in the life of our customers through teaching them how use our product to achieve their business and technical goals
- Appreciate working on a variety of projects with different stakeholders
- Like being “in the middle of it all”, working across the organization to move the product forward
- Have a fast-paced, results-driven mindset
- Love developer tools, open-source, and/or all things software development life cycle
Qualifications
- Strong knowledge in the application monitoring field
- 5+ year experience in technical training development and delivery
- BA/BS degree in CS or Computer Engineering-related field or equivalent experience is mandatory
- Strong verbal and written communications skills with an ability to build rapport and credibility with technical and business audiences
- Strong presentation skills
- Significant experience working with customers and partners, both remotely and in person
- Ability to think out of the box to develop structured training plans, actions, and measurable metrics
- Experience leveraging various learning tools and media to provide optimal learning
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Remote; Remote or Boston, MA
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We're a team of fiercely driven individuals committed to making healthcare more sustainable—and we're looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why this role is important to Arcadia
Arcadia is building a direct-to–Life Sciences commercial function as a strategic growth pillar of the company. The Director, Business Development - Life Sciences is an individual contributor seller responsible for building and closing enterprise relationships with pharmaceutical and biotechnology companies within an assigned account territory.
This is a true end-to-end selling role. You will prospect and develop new opportunities, lead discovery conversations with scientific and commercial stakeholders, scope and price solutions, negotiate contracts, and partner closely with internal teams to ensure successful delivery and long-term client satisfaction.
This role is designed for a life sciences seller with fluency in real-world data, analytics, and evidence-based solutions—someone who understands how pharma organizations buy across the development lifecycle and who wants to build a durable book of business inside Arcadia's growing direct Life Sciences sales organization.
What Success Looks Like
In 3 months
Build a deep understanding of Arcadia's Life Sciences data, solutions, operating model, and delivery capabilities
Establish credibility and working rhythm with Product, Data, Ops, Delivery, Legal, and Finance
Build a qualified pipeline within your assigned account territory, leveraging existing relationships and Arcadia's differentiated data assets
Complete onboarding on Arcadia's Life Sciences value narrative, competitive positioning, and pricing framework
In 6 months
Advance a meaningful, qualified pipeline aligned to pharma planning and budgeting cycles
Close at least one deal or be in late-stage contracting on priority opportunities
Demonstrate strong deal scoping discipline with smooth handoffs into delivery
Maintain accurate CRM hygiene and deliver a reliable forecast to your manager
In 12 months
Consistently attain quota with a 3-5x quota, well-qualified pipeline across your territory
Close multiple deals with clear expansion potential, including at least one multi-year or enterprise agreement
Build strong relationships with scientific, commercial, and procurement stakeholders where Arcadia is viewed as a trusted partner
Provide market feedback that influences packaging, pricing, or roadmap prioritization
What You'll Be Doing
PROSPECT AND BUILD A QUALIFIED LIFE SCIENCES PIPELINE
Proactively build pipeline in a green-field or assigned Life Sciences territory using conference presence, publication monitoring, thought leadership networks, hunting via warm and cold outreach, leveraging of BDR Team, and CRO or consultancy partnerships
Identify and prioritize high-probability targets using a defined ideal customer profile: company size, therapeutic area focus, pipeline stage, and recent approvals
Map multi-threaded stakeholder ecosystems across R&D, HEOR, medical, market access, and commercial teams at target accounts
Maintain rigorous pipeline hygiene using a defined qualification methodology (e.g., MEDDIC, MEDDPICC, or BANT) to advance or deprioritize opportunities
LEAD SOLUTION SELLING ACROSS THE PHARMA DEVELOPMENT LIFECYCLE
Lead discovery conversations across early research, clinical development, HEOR/RWE, market access, and commercial analytics
Translate complex client needs into well-scoped solutions that balance data, analytics, services, and delivery realities
Guide clients toward use cases where Arcadia can deliver outsized value, not lowest-friction data transactions
Align solutions to client budgeting and planning cycles, including annual and multi-year funding processes
CONDUCT CONSULTATIVE, VALUE-BASED SELLING
Lead structured discovery that surfaces business problems and internal success metrics before any product discussion
Build ROI and business cases using the customer's own metrics and language, validated by the scientific or commercial champion
Adapt selling approach and content to the buyer persona and Use Case - modulating message and proof points accordingly
NEGOTIATE AND CLOSE COMMERCIAL AGREEMENTS
Structure enterprise data agreements—licensing, DUAs, MSAs, usage-based pricing—that protect margin while delivering clear buyer value
Exercise strong commercial judgment on deal structure, pricing, and scope, with a clear negotiating position and walk-away point on every deal
Respond to procurement pressure by re-anchoring to validated scientific and commercial value rather than discounting immediately
Own the full lifecycle:
Opportunity qualification
Solution design and scoping
Proposal and SOW development
Pricing and commercial structuring
Contract negotiation and close
Partner closely with legal, finance, and leadership to finalize terms efficiently
COLLABORATE ACROSS TEAMS AND MAINTAIN FORECAST DISCIPLINE
Partner effectively with data science, medical, product, legal, and delivery teams to configure and present solutions that meet complex customer requirements
Orchestrate internal resources without over-committing them, and manage a clean handoff to delivery and customer success to protect revenue
Maintain accurate, up-to-date CRM records and deliver reliable forecasts, distinguishing clearly between commit, best case, and pipeline
Contribute market and competitive feedback that informs product roadmap, packaging, and pricing decisions
What You'll Bring
5+ years of experience selling into pharmaceutical and/or biotechnology companies, ideally in a quota-carrying, individual contributor role
Demonstrated success selling data-, analytics-, or evidence-driven solutions (RWD, RWE/HEOR, clinical analytics, or adjacent offerings)
Deep working knowledge of Life Sciences functional area—HEOR, Medical Affairs, Clinical Development, or Payer/Market Access—including how that function makes decisions and purchases data and analytics solutions
Proven ability to engage scientific buyers (PhDs, MDs, biostatisticians, epidemiologists) with credibility on
methodology
, study design, and data fit-for-purpose
Experience structuring and negotiating enterprise data licensing agreements, including DUAs, MSAs, and usage-based pricing models
A disciplined approach to pipeline management and forecasting, using a defined qualification
methodology
Strong cross-functional collaboration skills and comfort
operating
in a build-mode commercial environment
Would Love For You To Have
Existing senior relationships within pharma or biotech that can accelerate early pipeline development
Familiarity with FDA RWE Framework, EMA guidance, or ISPOR methodology standards
Experience selling into more than one Life Sciences functional area (e.g., both HEOR and Medical Affairs)
Active presence in relevant industry conferences (ISPOR, ASCO, ASH, DIA, AMCP) and referral relationships with CROs or HEOR consultancies
MEDDIC or MEDDPICC certification, or equivalent formal sales methodology training
What You'll Get
Arcadia brings a rare advantage to Life Sciences: a
market-leading, scaled payer and provider platform
as its foundation
For more than a decade, Arcadia has been the trusted data and analytics partner to health systems, physician groups, and payers nationwide. That core business provides deep, longitudinal clinical and claims data, embedded clinical workflows, and durable relationships across the healthcare ecosystem
Building on this foundation, Arcadia has assembled a large, de-identified real-world dataset combining claims and clinically rich EHR data sourced directly from provider systems. The result is a longitudinal, research-grade asset with depth and clinical context that is difficult to replicate through aggregation alone
Life Sciences is a strategic pillar built on this foundation. Arcadia has made a deliberate, multi-year investment in:
Purpose-built real-world data assets
Clinically connected solutions that link insight back into provider workflows
A growing research and collaboration ecosystem to expand data use rights
Dedicated leadership, product, data, and operational resources
The opportunity is to sell—and help shape—solutions that connect
data, analytics, and real-world clinical activation
across the pharma development lifecycle, backed by enterprise credibility and executive commitment
This role is a
founding, hands-on commercial leadership role, accountable for building the direct Life Sciences revenue engine, and deeply involved in shaping deals, messaging, and market positioning
This role is not a
channel-only or account maintenance role, a narrowly scoped quota-carrying role with a fixed playbook, and insulated from product, delivery, or execution realities
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: Americas; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE
We are looking for a Head of Customer Growth to build and lead the operating system that helps RevenueCat customers become better app businesses.
This is broader than a traditional Customer Success role. It combines strategic account coverage, app-growth judgment, specialist advisory, customer education, product adoption, and scalable enablement. The goal is not to give every customer the same high-touch service. It is to identify where RevenueCat can create disproportionate value, deploy the right kind of help, and turn every successful customer intervention into knowledge that benefits the rest of the customer base.
You will lead a multi-lane Customer Growth function spanning the CSM team, Growth Advisory, Growth Advocacy, and the emerging Customer Enablement function. The CSM Team Lead will own daily CSM execution. You will set the strategy, operating model, talent bar, investment plan, and measures of success for the function as a whole.
For our highest-value customers, this means deep account context, growth diagnosis, stakeholder mapping, product-adoption strategy, technical-account coordination, and clear next-step ownership. For high-potential customers, it means identifying them early and providing the right help before revenue has fully materialized. For customers with specific growth bottlenecks, it means bringing in the right specialist. For the broader customer base, it means scalable education through Growth Advocates, lifecycle guidance, office hours, playbooks, templates, product nudges, and eventually dynamic next-best-action systems.
Your job is to make Customer Growth one operating system rather than a collection of disconnected activities.
WHY WE ARE HIRING FOR THIS ROLE NOW
RevenueCat serves tiny indie apps, fast-growing startups, games, media companies, health and fitness apps, AI products, marketplaces, and some of the most sophisticated consumer app businesses in the world.
The app market is top-heavy, so the human touch must be allocated deliberately. At the same time, a customer that is small today may become strategically important very quickly. Contract status and current revenue are necessary signals, but they are not sufficient.
We already have many of the ingredients: CSMs, a CSM Team Lead role, Growth Advocates, Customer Growth Advisory specialists, Product, Support, Marketing, Sales, TAM, Data, and one of the richest datasets in app monetization. We need a leader who can turn those ingredients into a coherent function.
WHAT YOU WILL BE RESPONSIBLE FOR
- Own Customer Growth strategy across the full customer base. Define how RevenueCat helps customers grow after they begin using the product, including named accounts, high-potential customers, specialist-assisted customers, scaled customers, and the long tail.
- Build segmentation and coverage. Use current value, future potential, adoption, intent, growth moments, risk, and strategic importance to decide who receives named CSM coverage, time-bound help, specialist advisory, scaled education, product-led guidance, or monitoring.
- Lead through the CSM Team Lead. Set the bar for customer context, account strategy, stakeholder management, growth diagnosis, adoption planning, commercial awareness, and follow-through. Develop the Team Lead and create a strong leadership bench rather than becoming the permanent CSM manager.
- Identify high-potential customers early. Work with Data, Product, Sales, Marketing, and Support to find customers with meaningful future potential before revenue alone makes them obvious.
- Govern Growth Advisory. Define intake, qualification, expected impact, output quality, follow-through, and reuse. Specialists should be deployed against specific high-value problems rather than become general-purpose consulting capacity.
- Make Growth Advocacy a customer-education channel. Ensure Growth Advocates turn real customer learning into authoritative one-to-many education for existing customers and the broader app ecosystem.
- Build Customer Enablement and Scaled Growth. Create the roadmap for lifecycle programs, templates, office hours, documentation, automation, product nudges, and next-best-action guidance.
- Drive meaningful product adoption. Partner with Product and Product Marketing so customers adopt RevenueCat capabilities in ways that help them win, rather than merely increasing feature activity.
- Create clear cross-functional decision rights. Define how Customer Growth works with Sales, TAM, Support, Product, Marketing, and Data without turning CSMs into AEs, TAMs into a catch-all, or collaboration into meeting theater.
- Build the customer-insight loop. Repeated customer questions should become product improvements, enablement, playbooks, benchmarks, documentation, lifecycle programs, and market education.
- Own the function. Set metrics, operating cadences, headcount plans, budget, organization design, executive communication, and the talent bar across Customer Growth.
WHAT SUCCESS LOOKS LIKE
WITHIN THE FIRST MONTH
- Meet directly with at least 15 customers across different sizes, growth stages, product footprints, and monetization models—including high-value, high-potential, at-risk, and scaled customers.
- Take point on at least two live customer-growth situations. Work alongside the CSM, Advisory, TAM, Support, or Product partner to diagnose the problem, agree ownership, and move each customer to a concrete next milestone.
- Ship at least one no-regrets improvement to a broken handoff, account motion, Advisory route, or customer experience rather than waiting for a complete strategy.
- Establish a clear operating agreement with the CSM Team Lead and act on urgent customer, talent, or ownership issues.
- Build a working view of the team, coverage, high-potential misses, lane boundaries, and metrics—deep enough to make decisions, without allowing analysis to delay action.
WITHIN THE FIRST THREE MONTHS
- Act as executive sponsor for a small set of strategically important or high-potential customers and personally lead at least two customer-growth interventions through a measurable milestone.
- Put the first version of segmentation and coverage into production on real accounts, then revise it from evidence.
- Run decision-oriented account reviews and a working Growth Advisory intake and follow-through motion.
- Ship the first scaled education or Customer Enablement program based on a repeated customer need.
- Make the first material changes to ownership, operating cadence, or talent where the current model is not working.
- Establish a customer-insight loop that turns frontline evidence into owned Product, education, lifecycle, or process actions.
WITHIN THE FIRST SIX MONTHS
- Maintain direct customer contact every week and own selected executive relationships while leading the wider system through the CSM Team Lead and specialist leaders.
- Operate a functioning multi-lane Customer Growth model with clear owners, live handoffs, and visible outcomes across CSM, Growth Advisory, Growth Advocacy, and Customer Enablement.
- Have the CSM Team Lead independently owning daily CSM execution, coaching, and account quality.
- Demonstrate measurable results from customer interventions and show that repeated one-to-one work is becoming reusable Advisory output, education, enablement, or product insight.
- Have shipped multiple scaled programs and made concrete hiring or investment decisions for the function.
WITHIN THE FIRST TWELVE MONTHS
- RevenueCat has a trusted, actively used system for serving high-value, high-potential, specialist-assisted, and scaled customers.
- Customer Growth produces measurable improvement in customer outcomes, meaningful product adoption, account health, renewal readiness, expansion quality, and customer revenue outcomes.
- The Head remains directly connected to customers and is a trusted executive partner for selected strategic accounts.
- The best customer work consistently becomes reusable product, education, and market leverage.
- The function has a strong leadership bench and a record of shipping improvements without waiting for perfect information.
WHAT YOU WILL NEED TO BE SUCCESSFUL
- Approximately 10 or more years in Customer Success, Customer Growth, strategic accounts, Growth Advisory, product growth, lifecycle, monetization, or an adjacent customer-facing function.
- Five or more years leading customer-facing teams, including managers, senior team leads, or specialist groups.
- Evidence of owning an entire function or multi-lane operating model, not only managing an individual CSM team.
- Experience building or materially rebuilding segmentation, coverage, strategic-account, adoption, health, advisory, or scaled-customer systems.
- Strong commercial judgment around NDR, renewal risk, expansion influence, customer value, and executive alignment.
- Credibility with mobile apps, app monetization, in-app purchases, paywalls, checkout, pricing and offers, lifecycle, retention, experimentation, analytics, or a closely adjacent domain.
- Enough product and technical fluency to lead around a developer-facing platform while preserving clear ownership for TAM, Support, and Engineering.
- Experience managing both generalists and specialists.
- Evidence of turning repeated one-to-one work into scalable systems.
- Strong written communication, directness, and remote-first operating habits.
- Evidence of hiring, coaching, performance management, and raising the leadership and talent bar.
IDEALLY, YOU
- Have led CSMs and advisory, education, lifecycle, or enablement teams together.
- Have scaled a customer-facing function through a major company-growth stage.
- Have worked in a hybrid self-serve, product-led, and enterprise business.
- Have firsthand experience as an app operator, growth leader, founder, or consultant.
- Have built product-led or tech-touch Customer Success programs.
- Have helped productize or commercialize an advisory or professional-services capability.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards organization builds the policies, evaluations, and detection and enforcement systems that define and hold the limits on how Claude can be used. In this role, you'll lead our policy design team, managing the teams responsible for radicalization, child safety, user well-being, harmful manipulation, and election integrity, among other harm areas.
The team is responsible for understanding and defining the risks that come with engaging with Claude, how those risks materialize in the real world, and the mitigations needed to prevent them. As the manager, you'll work with your team to draw the boundaries between what is and is not allowed, then partner with research, product, and engineering to build the right interventions. Mitigating these harms takes the whole stack: the values and judgment trained into the model itself, the policies and detection systems we enforce on top of it, and the interventions we build into our products. More capable models, new product surfaces, and new user behaviors will keep testing these boundaries, so the team's policies have to keep pace.
You'll work closely with product to develop and iterate on the strategy and vision for how our safety layers fit together, and with your team and cross-functional partners to decide which mitigations make the most sense and how to implement them. You'll also coordinate policy decisions across the portfolio: ensuring they're made with the right stakeholders in the room, tracked over time, and applied consistently across harm areas and product surfaces.
This is a leadership role for someone who combines expertise in the harm areas themselves with fluency in how frontier models are actually developed and deployed, and who does their best work across team boundaries. You'll spend as much time developing the leads who own each harm area as you will on the policy questions themselves.
*Important context for this role: some of the work involves exposure to explicit content, including material of a sexual, violent, or psychologically disturbing nature.
Key responsibilities
Lead, develop, and grow the managers and teams responsible for the consumer harms portfolio, including child safety, user well-being, harmful manipulation, and election integrity
Coordinate policy decisions across the portfolio, and build the mechanisms that keep them tracked, consistent, and legible — so stakeholders know what was decided, why, and who owns what
Set the strategy for how mitigations built on top of the model — policies, detection and enforcement systems, and product interventions — complement what is trained into the model itself, partnering closely with the alignment training team that owns Claude's character
Prioritize across harm areas competing for the same resources, and make those tradeoffs and their rationale clear to leadership
Serve as the escalation point for high-severity and ambiguous consumer harms decisions, including rapid response to emerging risks
Partner with engineering, data science, product, legal, and research across the model development cycle so consumer harms considerations are represented from training through launch, on every surface where Claude is deployed
Engage external experts, civil society organizations, and regulators, and translate that engagement into stronger policy and enforcement
Minimum qualifications
Experience leading teams — including managing managers or senior specialists — in AI safety, product policy, or a related field
Deep, applied familiarity with consumer harm areas such as child safety, mental health and well-being, manipulation, or election integrity, and good judgment about how these harms differ in mechanism, severity, and mitigation
A track record of exceptional cross-team collaboration: building durable working relationships with teams you don't control, and getting to shared decisions where ownership is genuinely distributed
Working understanding of how frontier models are developed and deployed — the training and fine-tuning cycle, evaluations, and launch processes — and how different model environments (consumer products, APIs, agentic tools) change both risk and the mitigations available
Experience translating policy positions into mechanisms that can be enforced and measured, and communicating the reasoning to technical and non-technical audiences, including executives
Sound judgment in ambiguous, high-consequence decisions, and comfort making a call and escalating appropriately on incomplete information
Preferred qualifications
Subject-matter depth in one or more of the portfolio's harm areas, from academia, clinical practice, civil society, government, or trust & safety work
Experience working directly with model training or research teams on model behavior, or shaping the character of a deployed AI system
Experience with generative AI safety systems, including LLM-based classification, evaluation, or enforcement pipelines
Experience engaging external stakeholders in these domains — child safety organizations, election authorities, mental health experts, or regulators
Experience using agentic AI tools to scale a team's analysis and operations
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$330,000
—
$395,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The next wave of enterprise transformation is being built by the Global Systems Integrators and every one of them is racing to stand up AI transformation and AI governance practices for their clients. Docker's AI Governance strategy is the natural infrastructure layer underneath that motion, and we need a senior partner leader to make that connection real, commercially, at scale.
We're looking for a Principal, GSI & SI Partnerships to build and lead Docker's engagement with the world's largest consultancies and systems integrators; Accenture, Deloitte, EY, KPMG, and others, as both a strategic force multiplier for our AI Governance narrative and a tactical revenue engine through co-sell.
This is a dual-altitude role. At one level, you are the executive relationship-holder who gets Docker a seat at the table inside GSI AI practices; shaping how they build, package, and go to market with AI transformation offerings. At the other, you are the operator who turns those relationships into pipeline: enabling sales teams, building joint plays, and driving deals to close. You will define how Docker becomes the trusted infrastructure partner GSIs build their AI consultancy motions on top of and how they make money doing it.
KEY STAKEHOLDERS & CROSS-FUNCTIONAL PARTNERSHIPS
- Primary: CRO and Sales Leadership; Global Alliances Leadership; Partner Leadership Team
- Primary: Professional Services, Field Sales and Solutions Engineering teams (co-sell enablement and execution)
- Secondary: Product Marketing, Demand Generation, Ecosystem Marketing
- Secondary: Cloud & Channel Partnerships, Technology Alliances, Product Management
- External: Accenture, Deloitte, EY, KPMG, and other GSIs/SIs including their AI/GenAI practice leadership, industry verticals, and delivery organizations
_______________________________________________________________________
RESPONSIBILITIES
GSI Strategy & Executive Engagement
- Own Docker's global GSI/SI partnership strategy, prioritizing and sequencing engagement across Accenture, Deloitte, EY, KPMG, and other top-tier consultancies.
- Build and sustain executive-level relationships with GSI AI/GenAI practice leaders, identifying where Docker's AI Governance capabilities plug directly into their existing AI transformation and consulting offerings.
- Develop the strategic narrative and business case that positions Docker as the infrastructure and governance layer GSIs need to de-risk and scale their clients' AI initiatives.
- Represent Docker in executive briefings, QBRs, and joint planning sessions with GSI leadership, establishing Docker as a preferred, differentiated partner rather than a vendor line item.
- Partner with Professional Services and field teams to both share appropriate service assets and build the service’s capabilities Docker needs in the partner ecosystem to serve our mutual customers.
Commercial Model & Monetization
- Design and articulate a clear "how GSIs make money with Docker" story, connecting Docker's AI Governance platform to GSI services revenue, delivery methodologies, and staffing models.
- Build joint solution offerings and packaged plays with GSIs that combine their advisory/delivery capability with Docker's platform, creating a repeatable, sellable motion for both sides.
- Negotiate and structure commercial frameworks (referral, resale, co-delivery) that align incentives and make Docker an attractive, profitable practice area for GSI partners. Align with Professional Services to build the service partner capacity needed to augment PS.
Tactical GTM & Co-Sell Execution
- Own end-to-end co-sell execution with GSI partners, from lead generation and account mapping through joint pursuit and deal closure.
- Partner directly with Docker's field sales organization to identify target accounts, build joint account plans, and drive GSI-sourced and GSI-influenced pipeline.
- Build the enablement infrastructure (playbooks, battlecards, training) that equips both Docker sellers and GSI teams to identify, position, and close joint opportunities.
- Establish a consistent cadence of joint pipeline reviews with GSI partners and internal sales leadership, ensuring strategic intent translates into closed revenue.
AI Governance Practice Integration
- Work closely with Product and Product Marketing to translate Docker's AI Governance framework (Containment, Curation, Control) into language and assets GSI practices can readily adopt into their own AI transformation offerings.
- Identify and prioritize the GSI industry verticals and use cases (e.g., regulated industries, agent-based transformation) where Docker's governance story creates the clearest differentiation and urgency.
- Partner with GSIs to co-develop points of view, joint IP, and reference architectures that embed Docker into their AI transformation methodology.
Team & Program Leadership
- Build out the GSI/SI partnership function as it scales — defining coverage models, hiring needs, and operating rhythms as engagement deepens across additional GSIs.
- Serve as a member of the Partner Leadership Team, contributing GSI/SI strategy and results to the broader partner ecosystem narrative.
- Report on GSI-sourced and GSI-influenced pipeline and revenue, practice development progress, and joint GTM plan execution to executive stakeholders.
_______________________________________________________________________
QUALIFICATIONS
- 12+ years in partnerships, alliances, or GTM leadership, with substantial direct experience building and running relationships with GSIs/SIs (Accenture, Deloitte, EY, KPMG, or similar) at a B2B SaaS, infrastructure, or enterprise technology company. With strong existing network at the GSI senior exec level.
- Proven track record of building joint commercial models with GSIs and converting relationships into measurable co-sell pipeline and revenue.
- Experience navigating GSI internal structures, practice leadership, industry verticals, delivery organizations and knowing how to get a technology partner embedded into their offerings.
- Familiarity with AI/GenAI transformation programs, consulting delivery models, and how GSIs structure and monetize AI advisory and implementation work.
- Background in developer tools, cloud-native infrastructure, or AI/security ecosystems is a strong advantage.
SKILLS & COMPETENCIES
- Executive presence with the credibility to engage GSI practice leaders and partner C-suite as a peer.
- Dual fluency in strategy and execution, equally comfortable shaping a multi-year GSI strategy and running a weekly pipeline review with field sales.
- Strong commercial and deal-structuring acumen; able to design win-win economics that make Docker a priority practice for GSI partners.
- Skilled cross-functional operator, able to align Sales, Product, and Marketing behind a coherent GSI engagement motion.
- Data-driven: comfortable owning GSI-sourced/influenced pipeline reporting and practice development metrics.
- Excellent narrative and positioning skills, able to translate Docker's AI Governance story into language that resonates with consulting and advisory audiences.
LEADERSHIP & MINDSET
- A senior partner leader who has built a GSI/SI function from the ground up and knows how to earn a seat inside a consultancy's practice, not just a line on their partner list.
- Comfortable operating at the intersection of strategic influence and tactical deal execution, this is not a purely strategic or purely operational role.
- Global mindset, with the ability to prioritize and sequence engagement across a portfolio of GSIs and geographies.
- Genuinely energized by the opportunity to hitch Docker's AI Governance story to the world's largest AI transformation engines.
- Key Performance Indicators
- GSI-sourced and GSI-influenced pipeline and revenue growth
- Number and depth of active joint GTM motions with priority GSIs (Accenture, Deloitte, EY, KPMG, and others)
- Executive relationship coverage and engagement depth across target GSI AI practices
- Joint offering/IP development milestones (co-branded solutions, reference architectures, playbooks)
- Field sales adoption and utilization of GSI co-sell enablement and plays
Visa sponsorship: Not available for this role.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $203.7K – $291K OTE
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: New York City Office
COMPANY DESCRIPTION
Today, when you go to your doctor and get referred to a specialist, your doctor sends out a referral and tells you, “They’ll be in touch soon.” So you wait. And wait. Sometimes days, weeks, or even months. Why? Because too often providers are overwhelmed with the painstakingly tedious work required to get paid by insurance companies. Powered by proprietary models, Tennr handles the complex paperwork that gets patients through the door and providers paid, helping operators get patients the right care, at the right time, in the right setting.
ROLE DESCRIPTION
As an Event Marketing Manager, you’ll have a proven track record of planning, executing, and promoting flawless events that drive brand awareness and contribute to revenue growth. You thrive in fast-paced, ambiguous environments and find creative ways to stand out at events (you probably think socks as swag is so 2019).
KEY RESPONSIBILITIES
- Event Strategy & Planning: Develop comprehensive event marketing strategies that align with Tennr’s brand objectives and business goals. Identify opportunities for in-person and virtual events, including trade shows, conferences, and webinars. Collaborate with cross-functional teams, including Sales and Customer Success, to ensure event alignment with overall marketing strategy.
- Event Execution: Manage the end-to-end planning and execution of events, including budgeting, vendor selection, logistics, and on-site/virtual coordination. Oversee event branding and collateral, ensuring consistent messaging and high-quality presentation. Coordinate all event communications, including invitations, reminders, and post-event follow-ups.
- Promotion & Audience Engagement: Develop and execute promotional campaigns to drive event registration and attendance using digital marketing channels, social media, email campaigns, and partnerships. Engage with key partners and industry leaders to maximize event visibility and reach.
- Post-Event Analysis & Reporting: Conduct post-event debriefs to analyze the success of events, gather insights, and identify areas for improvement. Report on event performance, including attendee engagement, lead generation, and overall impact on business objectives.
- Relationship Management: Build and maintain strong relationships with vendors and partners. Serve as the primary point of contact for all event-related inquiries, ensuring clear communication and exceptional service.
QUALIFICATIONS:
- 4+ years of experience in event marketing, with a proven track record of planning and executing events that left a lasting impression while driving actual outcomes.
- Strong project management skills, able to juggle multiple events simultaneously while meeting deadlines and without breaking a sweat.
- Excellent communication and interpersonal skills; you communicate effectively with cross-functional teams and external partners.
- Able to analyze data to assess the success of events and optimize future strategies.
- Highly organized and with a keen eye for detail.
- Self-motivated, with a strong sense of ownership and accountability.
- A plus if you’ve produced events for a SaaS tech company, for senior leaders and c-suite executives, or within the healthcare industry.
WHY TENNR?
- Drive Impact: one of our company values is Cowboy, meaning you set the pace. You won’t just talk about things, you’ll get them done. And feel the impact.
- Develop Operational Expertise: learn the inner workings of scaling systems, tools, and infrastructure
- Innovate with Purpose: we’re not just doing this for fun (although we do have a lot of fun). At Tennr, you’ll join a high-caliber team maniacally focused on reducing patient delays across the U.S. healthcare system.
- Build Relationships: collaborate and connect with like-minded, driven individuals in our Hudson Square office 4 days/week
- Free lunch! Plus a pantry full of snacks.
BENEFITS
- Beautiful new office at 345 Hudson Street
- Unlimited PTO
- 100% paid employee health benefit options
- Employer funded 401(k) match
- Competitive parental leave
Location: Canada, Remote
Workplace: remote
Our Solution Expert team plays a key role in supporting strategic customers in RUN phase, by acting as trusted advisors on complex use cases. Working closely with Sales, Product, and Customer Success, they analyze advanced client needs, challenge existing setups, and translate requirements into scalable solutions within the 360Learning platform.
You will manage a portfolio of customers throughout their lifecycle to drive product adoption and deliver tailored solutions beyond standard product capabilities.
These large and strategic accounts have already deployed the platform and have a strong level of autonomy. They rely on your technical and functional expertise to lead complex integrations (APIs, flat files, third-party tools), redesign platform architecture, run solution audits, and provide high-level recommendations to maximize business impact and long-term value.
Within 1 month, you will:
Become a Trello expert through our onboarding process
Understand our product offering through training
Master our platform and be able to support clients on basics requests through ticketing
Within 3 months, you will:
Own your portfolio of 10 enterprise clients & leading up to 30 active projects simultaneously
Start to answer questions coming from your portfolio of clients
Support the Customer Success partner on functional and technical questions
Successfully implement integration (SSO, third-party tools), deliver technical expertise on how to integrate their learning platform to their technical environment & troubleshooting
Within 6 months, you will:
Be able to pitch the value of the 360Learning platform
Develop repeatable and scalable processes to improve project quality and delivery
Support Strategic customers all along their contract from an expertise standpoint
Deliver Professional Services to our existing customers base
Within 12 months, you will:
Onboard another Solution Expert
Contribute to our knowledge base to share best practices and lessons learned
Work with our partner ecosystem to strengthen the services proposed to our clients
Deliver platform audits to clients
Deliver professional services proposed in our Professional Service catalogue
The Skill Set
3 years of professional consulting experience, preferably in a customer facing role (Level 2 or 3 support agents, Technical consultant, Technical Account Manager)
Previous deployment experience of SaaS products, ideally HR related
Project management skills
Good understanding and experience working with APIs, SSO configuration & troubleshooting
Solution-oriented, client-first mindset in everything you do
Ability to adapt to your audience, flexibility in tackling a conversation with highly technical stakeholders, and reducing complexity to more common terms with less technical stakeholders
Organized, structured, rational, analytical, able to manage priorities across multiple customer implementations
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What We Offer
Compensation:
Pay structure includes base salary, variable incentive pay, and company equity 📈
Benefits/Perks
: Comprehensive health insurance starting your first day of employment 🏥 RRSP contribution matching 🏦 Generous parental leave 👶 Professional development opportunities through our own platform 📚
Balance:
We offer unlimited days of annual PTO 🌴 5 days for sick leave 🤒 Holiday time in accordance with the Ontario Holiday Calendar 🗓 We are a remote-first organization and promote flexible work hours 🏠
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter:
360learning.com/blog/corporate-social-responsibility-charter
🌎🌏🌍
Culture
: A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
The Interview Process
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with a PS Team Leader
Case Study Meeting with a PS Team Leader and a Solution Expert
Clarification Meeting with our Sr VP of Professional Services
Culture Fit Meeting with an Executive
References / Offer !
⇾ Get ready using our Knowledge Base:
https://bit.ly/42H1ggC
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: United States, San Mateo, CA
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Sr. Account Manager
San Mateo, CA / Hybrid
We are looking for a Senior Account Manager, reporting to the Global Account Director within the Strategic Segment. This individual will be the first point of contact and responsible for supporting the day-to-day business activity and overall health of the assigned partner(s). They will work internally across Sony Interactive Entertainment (SIE) and with external partner(s) to deliver agreed commercial and strategic objectives globally.
Key Responsibilities:
Own day-to-day business for assigned partner studio(s), ensuring smooth operation and hand-off of operational needs through internal teams, ensuring overall health of the Partner is being addressed.
Develop and maintain comprehensive knowledge of all aspects of the Partner’s business, portfolio, and long-term strategic vision.
Identify business opportunities across Partner’s portfolio and live services.
Provide guidance and be a potential first point of partner contact for content pipeline and other operational or technical situations that impact the rhythm of the business.
Communicate business, platform, and policy updates to Partners.
Execute the Studio Relationship Development Program, evangelizing the PlayStation opportunity across the developer landscape and generating strategic alignment with studios.
Contribute to or create account/account segment reports, present data and insights to internal and external teams.
Execute external and internal business planning sessions to meet the needs of the Partner (JBRs, JBPs, Content Lifecycle Plans, Performance Reviews, Post-Mortems, and overall governance).
Work as a collaborative team member within the Partner Commerce Team in establishing and executing Partner plans; understanding market dynamics, shifting consumer demands, and helping adjust priorities/account plans to meet future market needs.
Support SIE’s operating models, plans, and deliver against collective Partner/SIE annual KPIs.
Identify and deliver content suitable for specific platform activity and campaigns (PlayStation Services, PlayStation Direct, etc.).
Be a team player with a focus on building internal and external relationships and excellent collaborative cross-functional collaboration skills and team mentality.
Assist with the facilitation of Partner’s participation at PlayStation PR/media events and B2B requests.
Participate in yearly budgeting and quarterly forecasting for the account set, helping to set expectations internally of the market, release slate, and overall status of the business.
Participate in and support joint business reviews, Monthly/Weekly team meetings, business performance reviews.
Input, monitor and track CRM progress through Salesforce.
Support Account and process documentation assigned by Global Account Director.
Qualifications:
Bachelor’s degree in Business, Marketing, Communications, or a related field, or commensurate relevant experience.
10+ years of experience in Sales, Account Management, Publisher Relations, Studio Relations, Technical Account Management or other relevant service-oriented roles that manage revenue.
Strong communication (verbal and written) and interpersonal skills.
Analytically minded with data experience.
Experience working in Video Gaming, Media, Entertainment, High-tech, or other associated verticals is a plus.
#LI-SV1
At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location.
Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location.
In addition, this role
is eligible
for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products.
This role also may be eligible for a bonus package.
Click
here
to learn more.
The estimated base pay range for this role is listed below.
$161,300
—
$241,900 USD
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our
Candidate Privacy Notice
for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Beneficial Deployments
Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences. We prioritize opportunities to make AI more accessible and raise the floor of what is possible in a given domain while also partnering with leaders to help expand the use of AI to new tasks that raise the ceiling of what is possible.
About the role
We're looking for a Partnership Manager to grow our
AI for Science Program
. You'll build and manage partnerships with individual labs from around the world. This program is the primary way that Anthropic’s life sciences efforts work with individual labs that have new and innovative ideas for how Claude can contribute to a growing set of scientific domains.
In this role, you'll help build our approach to deploying Claude for Life Sciences across domains of research including the biomedical sciences, chemistry, and materials science. You'll work with incredibly interdisciplinary partners from academia as well as early stage companies. Your goal will be to develop relationships and goal directed partnerships that demonstrate or expand the capabilities of Claude in the sciences. You will focus both on individual projects but also building communities of practice that bring together scientists with similar interests or objectives. The right person will combine genuine curiosity and grounding in the sciences with an entrepreneurial and experimental drive to build something new at the frontier of AI.
Responsibilities:
Execute Anthropic's AI for Science API credit program, managing day-to-day partnerships with academic labs, small start-ups, and potentially foundations
Identify, evaluate, and onboard new partners via our API credit application calls as well as targeted relationship building
Serve as the primary relationship owner for AI for Science, coordinating with Anthropic’s Applied AI, product, and GTM teams to deliver impact
Compile regular reports and learnings from the AI for Science ecosystem to help inform research and GTM priorities
Manage timelines, resource requirements, and regular reporting associated with the AI for Science program
Work closely with partners to understand their technical and operational needs and translate them into deployment plans
Comfort with early technical prototyping and testing to help learn alongside and unblock partners
Contribute to a research agenda for understanding AI's impact on individual labs across domains
Identify opportunities to create public goods -- open-source tools, datasets, and research -- that benefit the broader ecosystem
Represent Anthropic at global scientific convenings and conferences
Help shape team processes and culture as we scale our Life Science work
You may be a good fit if you have:
2+ years of experience in or around life sciences research, with exposure to how new technologies can accelerate scientific progress
Experience building communities of practice in which scientists from multiple domains converge on shared exploration and use of new technologies— whether through organizing journal clubs, meetups, student groups, or online scientific communities
A growing network in the life sciences: you understand the landscape of universities, research institutes, and tools companies, and are energized by building new relationships
Technical fluency to engage credibly on AI concepts, understand LLM capabilities and limitations, and partner effectively with technical teams
Analytical mindset with experience using data to inform strategy and measure impact
An entrepreneurial mindset: you're excited to build programs from scratch, and may have early experience doing so at a startup, in a lab, or through a side project
A genuine drive to maximize impact for underserved communities
High agency and comfort with ambiguity; you thrive when you're building the plane while flying it
Strong prioritization skills and the ability to manage a high volume of partnerships and opportunities
Willingness to travel for occasional partner visits and conferences
Strong candidates may also have:
Experience managing external partnerships, grantmaking, or multi-stakeholder initiatives
Experience working with philanthropic foundations on science funding
Background at biotech companies, academic research institutions, funding, and roles at the intersection of scientific research and technology product
Background in wet lab research with an ability and aptitude for scientific communications
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$170,000
—
$215,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building AI compute at a scale and pace that outruns what off-the-shelf data center equipment was designed for. Much of the power and cooling equipment behind our next campuses — battery energy storage systems (BESS), grid-forming and grid-following inverters, solid-state transformers (SST), E-STATCOM and other power-quality devices, medium-voltage switchgear, UPS, and liquid-cooling systems — is either new to the market, new to the supplier, or being built at a volume the supplier has never shipped before.
The NPI Engineer owns the path from "the supplier has a design" to "the equipment is qualified, manufacturable at rate, and running reliably on site." You sit between our electrical and mechanical design teams, our supply chain and quality teams, and the supplier's engineering and factory organizations, and you make sure every new product or major variant clears the gates — EVT, DVT, PVT, FAT, SAT — before it is trusted with production load. This is a hands-on role: you will spend real time on supplier factory floors, in test labs, and at site commissioning.
What you'll do
Own the NPI program for each new power or cooling product
(BESS, inverters, SST, E-STATCOM, MV switchgear, UPS, CDUs, chillers) from concept selection through ramp, including the gate schedule, exit criteria, and risk register.
Drive early supplier design engagement:
translate our site requirements (fault current, grid interconnection, harmonic and ride-through requirements, thermal envelopes, footprint, serviceability) into product requirements and specifications the supplier can build to, and negotiate trade-offs with their engineering teams.
Lead DFM/DFT/DFx reviews
with suppliers so designs are manufacturable at the rate we need, testable in the factory, and serviceable in the field.
Plan and run prototype and pilot builds:
define EVT/DVT/PVT scope and sample counts, witness builds, own test plans (type testing, HALT/HASS, thermal, EMC, protection coordination, functional and integration tests), and drive root cause and corrective action on every failure.
Qualify the product for deployment:
define and execute first-article inspection, factory acceptance testing (FAT), site acceptance testing (SAT), and integrated system testing with the rest of the electrical and cooling chain, and sign off on production readiness.
Hand off to steady state:
transfer qualified products, control plans, test procedures, and known-issue lists to the Manufacturing Quality and Supply Chain Delivery teams, and support them through the first production ramps.
Build the reliability picture:
run FMEA/DFMEA with suppliers, define reliability targets and burn-in requirements, and feed field failure data back into the next revision.
Coordinate cross-functionally
with design engineering, construction, commissioning, utilities/interconnection, safety, and sourcing so NPI schedules are integrated with campus delivery schedules.
Keep suppliers honest:
track readiness and risk with clear metrics, escalate early, and hold technical reviews that resolve issues rather than admire them.
You may be a good fit if you have
8+ years of engineering experience in power electronics, electrical equipment, or industrial energy systems, with at least 4 years in an NPI, product development, or product engineering role that owned a product from prototype through production ramp.
Direct, hands-on experience with at least two of: BESS, utility- or data-center-scale inverters, medium-voltage transformers or switchgear, UPS, STATCOM/power-quality equipment, or liquid cooling systems (CDUs, chillers, hydronics).
Working knowledge of the relevant standards and how they get applied in qualification: UL 9540/9540A, UL 1741 and IEEE 1547, IEEE 2800, IEC 62477 / IEC 62909, IEEE C37 and C57 series, NFPA 70/855, UL 1778, and comparable IEC equivalents.
Experience defining and executing structured qualification programs (EVT/DVT/PVT, FAT/SAT, type testing, reliability testing) and closing failures with disciplined root cause analysis and CAPA.
Familiarity with supplier factory environments — production lines, test bays, quality systems — and the ability to assess a supplier's real readiness to ship at rate.
Fluency in design-for-manufacturing and design-for-test principles and the supplier ECO/change-control process.
Strong systems thinking: you can reason about how an inverter, a battery, a transformer, and a cooling loop behave together at a site, not just in isolation.
Clear written and verbal communication, and comfort driving decisions across engineering, supply chain, and executive audiences.
A bachelor's degree in electrical, mechanical, or power engineering, or equivalent experience.
Willingness to travel 30–40% to supplier factories and data center sites, including internationally.
Strong candidates may also have
Experience with solid-state transformers, grid-forming inverters, E-STATCOM, or other emerging power-conversion equipment being introduced to data center or utility applications for the first time.
NPI or product engineering experience at a hyperscaler, a large utility-scale developer, or a Tier-1 power equipment OEM.
Background in grid interconnection studies, protection coordination, or power-system modeling (PSCAD, ETAP, PSS/E, or similar).
Liquid cooling product introduction experience — CDU, rear-door heat exchanger, direct-to-chip, or immersion systems.
Reliability engineering credentials (CRE, Six Sigma) or experience running HALT/HASS programs.
Firmware and controls validation experience for power conversion equipment (inverter control loops, BMS, EMS, PLC/SCADA integration).
Experience standing up or scaling new supplier manufacturing lines, including contract manufacturing and international sites.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: England; Portugal; Spain; Italy; Germany
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
Docker is launching a Professional Services organization to accelerate customer success, reduce time-to-value, and drive enterprise adoption for agentic workloads. As a Principal Solution Architect, you'll play a critical role in building and scaling this function. You will join a team of seasoned experts with deep experience backed by Docker's unmatched reach across Fortune 500 companies.
This is a high-visibility role working directly with senior leadership across revenue, product, marketing, and partner organizations. You'll shape service strategy, drive cross-functional alignment, and deliver offerings that accelerate both services revenue and platform expansion.
You'll serve as a trusted advisor to our largest and most strategic partners and enterprise customers, providing thought leadership on integrating Docker agentic solutions within enterprise environments.
_______________________________________________________________________
RESPONSIBILITIES
Build and Scale the Professional Services Practice
- Develop and codify repeatable reference architecture patterns across Docker's core use cases including self-hosted and air-gapped deployments, MCP (model context protocol)/AI agent environments, IDP integrations, and secure supply chain workflows so that engagements scale consistently across customers and partners.
- Translate reference architectures into customer-facing technical collateral, SOW templates, and success patterns that reduce scoping time and improve delivery consistency.
- Collaborate with product, marketing, and revenue teams to integrate services into GTM motions and align delivery to Docker's AI platform roadmap.
- Identify offerings that drive product expansion, renewals, and long-term customer value.
- Support Partnerships & Alliances in selecting, onboarding, and enabling technical integration partners, system integrators (SIs), and service delivery partners.
Drive Strategic Customer Outcomes
- Act as a trusted advisor to enterprise customers, helping them adopt modern patterns for containerization, AI workflows, and secure software supply chains.
- Lead technical discovery and architecture engagements that span enterprise integration layers
- Architect and deliver self-hosted Docker deployments within air-gapped, regulated, and complex enterprise environments including local image registry setup, offline toolchain configuration, and compliance-driven infrastructure design.
- Design and Guide customers through implementation of agentic AI toolchains, including MCP server/client architecture, tool orchestration, observability integration and secure deployment patterns aligned to Docker's AI platform.
- Position Docker as a strategic and thought leadership partner, influencing long-term technology adoption and investment decisions.
- Directly deliver or assign and oversee appropriate delivery partners to execute service engagements and ensure technical objectives are met.
Enable Cross-Functional Success
- Drive alignment and decision-making across multiple stakeholders and teams without direct reporting lines.
- Translate field insights including enterprise integration patterns, IDP/SSO friction points, observability gaps, and AI deployment challenges into actionable product and services strategy, roadmap, and partner capabilities.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 7+ years as a Professional Services Solution Architect, Technical Consultant, or similar role at a SaaS/infrastructure company or consulting firm.
- Demonstrated experience architecting and deploying self-hosted and air-gapped deployment architectures: local image registries, offline toolchain configuration, network-isolated Kubernetes clusters, and compliance-driven infrastructure constraints common in regulated industries.
- Enterprise integration experience across Identity Providers (Okta, Azure AD, LDAP/Active Directory) and federated identity protocols (OIDC, SAML, SSO), including RBAC design within complex, multi-tenant enterprise environments.
- Working knowledge of Model Context Protocol (MCP) and its application to agentic AI toolchains including MCP server/client architecture, tool and resource orchestration, and secure containerized deployment patterns.
- Hands-on experience with AI/ML workflows, LLM deployment, and agentic AI architectures in enterprise environments with awareness of Docker's AI platform roadmap including AI agent containerization, model provenance, and AI supply chain security.
- Deep understanding of container and software supply chain security: Docker Hardened Images (DHI), Secure Supply Chain (SSC), SBOM generation, image signing and attestation, vulnerability management, and runtime governance.
- Excellent facilitation and stakeholder management skills; able to lead executive-level architecture conversations and influence senior stakeholders without formal authority.
- Direct experience delivering high-quality services engagements that achieve customer value while meeting revenue and ARR growth targets within a revenue organization.
- Recognition by enterprise customers as a strategic technical advisor.
BONUS
- Experience architecting AI platforms in large enterprise environments LLM deployment pipelines, model provenance, artifact signing, and secure AI supply chain patterns.
- Background enabling system integrators, consultancies, or partner ecosystems.
- Consulting experience with Fortune 500 clients in highly regulated sectors such as financial services, healthcare, or government.
- Led AI security architecture engagements that addressed model provenance, artifact signing, and supply chain integrity for containerized AI workloads including secure MCP server deployment, tool and resource access controls, secrets management within agentic pipelines, and runtime isolation patterns for LLM-based applications.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Onboard to Docker's mission, values, and operating model.
- Deeply familiarize yourself with our product portfolio, AI platform roadmap, and strategic customers.
- Build strong partnerships with Product, Engineering, and Sales functions.
- Plug into the team's rhythm of business (standups, reviews, shadow customer engagements).
FIRST 90 DAYS
- Scope, define SOWs, delivery, and oversight of customer service engagements.
- Participate in the creation of reference architectures for key use cases..
- Participate in initiatives to build out and improve the services department's offerings.
ONE-YEAR OUTLOOK
- Successful delivery and oversight of customer service engagements.
- Contribute materially to the build-out of Docker's service offerings across AI, security, and enterprise integration practices.
- Institutionalize continuous improvement by providing field feedback including enterprise integration patterns, deployment blockers, and observability gaps to the product team.
Visa sponsorship: Not available for this role.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Eruope: €119K – €170K base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA • New York, NY • United States
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
We are looking for an Immigration Program Manager to support Figma's growing Immigration and Global Mobility programs.
In this role you will serve as a primary point of contact for visa-sponsored Figmates, managing immigration cases and compliance while providing a high-touch employee experience. You'll also support international relocations and broader global mobility programs and get exposure to M&A and international expansion.
You'll partner closely with immigration counsel and teams across People, Finance, Legal, Talent Acquisition, and Payroll to improve our processes, resources, reporting, budgeting, vendor management, and program administration.
This is a full time role that can be held from one of our US hubs or remotely in the United States.
What you'll do at Figma:
Serve as primary contact for Figmates and stakeholders on immigration inquiries, visa assessments, case status, and strategy
Manage a high-volume immigration case portfolio - including permanent residence processes (PERM, I-140, AOS, ILR) — across US, EMEA, JAPAC, and LATAM
Coordinate with outside immigration counsel on case petition preparation, timelines, RFE responses, audits, and compliance matters
Track and proactively manage work authorization expirations across the foreign national population, ensuring timely renewals and escalations
Partner with People Partners and Talent Acquisition to assess immigration sponsorship feasibility for new hires and internal transfers
Develop and maintain Figmate-facing immigration resources, FAQs, playbooks, and compliance documentation (PAF, etc.), and design training for key stakeholders and Figmates globally
Monitor regulatory changes and manage internal reporting, trackers, dashboards, and I-9 compliance efforts, serving as internal POC for I-9 escalations
Coordinate international relocations and participate in global mobility, People M&A, and international expansion initiatives
We'd love to hear from you if you have:
5+ years of experience managing immigration for EMEA, APAC, and AMER at a global technology company or employment-based immigration law firm
Deep subject-matter expertise in U.S. nonimmigrant and immigrant visa categories (H-1B CAP & cap-exempt, L-1, O-1, TN, OPT, PERM, EB-1/EB-2, AOS, EADs)
Experience managing multiple vendors and supporting complex immigration matters, including international relocations and/or assignments
Experience with People Ops-related compliance projects, with interest in contributing beyond the immigration and global mobility functions
Exceptional project management, organizational, and prioritization skills, with the ability to translate complex legal concepts into crisp written and verbal communication
While it's not required, it's an added plus if you also have:
Experience supporting immigration needs related to M&A activity
Strong expertise in Singapore immigration and the COMPASS framework
Working knowledge of international assignment management, including assignment design, cost projections, tax equalization, and assignee lifecycle support
Familiarity with cross-border tax concepts - including hypo tax, shadow payroll, and equity income sourcing for mobile employees and expatriates — and equity income sourcing mechanics for RSUs and stock options
Experience managing business traveler compliance programs, including short-term assignment tracking and permanent establishment risk identification
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location.
Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law.
Annual Base Salary Range:
$127,000
—
$269,000 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Seattle, WA
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