Location: Indianapolis, United States; Ohio City, United States; Chicago, United States
Description
Location:
Indianapolis, IN Metro (Hybrid / 3-Day Onsite)
(Open to Regional/EST Candidates with Onsite Travel)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7)
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Role purpose
Lead the development and application of digital twins to improve clinical trial design and support evidence-based clinical development decisions. The role prioritizes digital-twin, simulation, and AI/ML expertise, supported by clinical-development experience and close partnership with trial-design experts.
Position overview
You will join a multidisciplinary clinical development environment and partner with clinical scientists, physicians, biostatisticians, pharmacometricians, biomarker experts, data scientists, data engineers, and other stakeholders. You will translate clinical development questions into quantitative strategies and deliver interpretable analyses that inform protocol design, patient selection, endpoint strategy, dosing, operational planning, and decision-making under uncertainty.
The role prioritizes digital twins as the primary capability for simulating patients, disease trajectories, treatment response, and clinical trials. The successful candidate will bring strong digital-twin, simulation, and AI/ML expertise, along with sufficient clinical-development knowledge to work effectively with trial teams. Deeper trial-design expertise can be developed through close collaboration with clinical scientists, biostatisticians, and pharmacometricians.
Key responsibilities
Digital-twin development and validation
· Lead the design, development, and evaluation of digital twins of patients, disease trajectories, treatment response, or clinical trials using clinical trial and relevant external data.
· Combine mechanistic, statistical, causal, and machine learning approaches to create fit-for-purpose digital twins that can be simulated under alternative populations, interventions, dosing strategies, endpoints, or trial designs.
· Define use cases and contexts of use with clinical and quantitative experts so each digital twin addresses a specific trial-design or development decision.
· Assess calibration, validation, robustness, transportability, uncertainty, and practical relevance using appropriate internal and external evaluation strategies.
· Develop reproducible workflows and reusable digital-twin components that can be applied across programs or therapeutic areas.
Clinical trial design and quantitative decision support
· Partner with trial teams to frame development questions and evaluate design options, including target populations, eligibility criteria, enrichment strategies, comparators, endpoints, visit schedules, dosing strategies, and operational tradeoffs.
· Use digital twins and complementary simulation methods to compare plausible scenarios, characterize uncertainty, and support model-informed decision-making.
· Work closely with statisticians and pharmacometricians so analyses complement established trial-design methods and align with clinical and regulatory objectives.
· Communicate assumptions, limitations, and decision-relevant insights clearly to technical and non-technical stakeholders.
Data integration and scientific collaboration
· Analyze and integrate clinical trial data and, where relevant, biomarkers, imaging, digital health data, omics, patient-reported outcomes, and real-world data.
· Partner with data engineering and platform teams to create analysis-ready datasets, data-quality checks, lineage, and reproducible pipelines.
· Contribute to scientific documentation, presentations, publications, and responsible adoption of digital-twin methods across clinical development.
Model quality and responsible use
· Define the intended use, decision context, success criteria, and limitations of each model before development.
· Ensure models are interpretable, auditable, reproducible, and supported by evidence appropriate to their intended use.
· Apply appropriate governance, privacy, security, and scientific-review requirements for clinical data and analytical outputs.
· Clearly distinguish exploratory analyses from validated decision-support evidence and avoid overclaiming model capability.
Requirements
· PhD in data science, statistics, biostatistics, pharmacometrics, computer science, biomedical informatics, engineering, mathematics, operations research, or a related quantitative field.
· Demonstrated experience developing digital twins, virtual patients, disease-progression models, clinical trial simulations, synthetic controls, or closely related computational models.
· Strong experience applying machine learning, statistical modeling, causal inference, or simulation to biomedical, healthcare, pharmaceutical, or other complex scientific data.
· Strong programming skills in Python, R, or a comparable analytical language, with experience using version-controlled and reproducible workflows.
· Sufficient clinical-development knowledge to frame relevant questions and collaborate effectively with clinical and quantitative trial experts.
· Ability and interest to deepen clinical trial-design knowledge through partnership with clinical scientists, biostatisticians, and pharmacometricians.
· Strong written and verbal communication skills and demonstrated effectiveness in cross-functional scientific collaboration.
Preferred qualifications
· Strongly preferred: experience supporting clinical trial design, protocol development, clinical development strategy, model-informed drug development, or regulatory-facing quantitative evidence.
· Familiarity with one or more trial-design topics, such as endpoint strategy, sample size or power assumptions, patient selection or enrichment, longitudinal outcomes, missing data, adaptive designs, or decision criteria.
· Knowledge of digital-twin architecture and validation, supported by expertise in causal inference, Bayesian modeling, survival analysis, longitudinal modeling, clinical trial simulation, or synthetic controls.
· Experience with clinical data standards and common clinical-development data sources.
· Experience with biomarker, imaging, omics, digital health, or real-world data and integration of multiple data modalities.
· Experience with scalable cloud-based analytical environments.
· Track record of translating analytical work into decisions, reusable capabilities, publications, presentations, or other measurable scientific impact.
Indianapolis, United States; Ohio City, United States; Chicago, United States
Location: Bulgaria; Serbia; Poland; Czechia
Would you like to build a career in a leading multinational IT company?
We are seeking a skilled Content Marketing Writer to join our marketing team in a remote, part-time role. You’ll create compelling B2B content across multiple channels, helping us communicate our value, strengthen our brand, and support global marketing and growth initiatives. This is a hands-on position where your creativity, editorial expertise, and AI skills will make a real impact.
Since 2007, MMDSmart has been a leading supplier in cloud communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
Requirements
What will you do at MMDSmart?
Create, edit, and refine engaging B2B marketing content across multiple channels, including blogs, landing pages, websites, and digital campaigns.
Develop compelling marketing materials such as ebooks, whitepapers, video scripts, event messaging, and promotional content.
Ensure all written company content is clear, accurate, consistent, and aligned with our brand voice and corporate identity.
Proofread and review marketing materials to maintain high editorial standards.
Collaborate with the marketing team and other internal stakeholders to deliver content that supports business goals and go-to-market initiatives.
Leverage AI tools and automation to improve content creation processes, efficiency, and quality.
You are a perfect match if you have:
Proven experience in B2B content writing, preferably within the SaaS, IT, or Telecommunications industries.
Strong copywriting, editing, and proofreading skills across various marketing formats and channels.
Native-level English proficiency, both written and spoken.
Hands-on experience using AI tools for content creation, optimization, and workflow automation.
Experience creating content for technical products and translating complex concepts into clear, engaging messages.
Strong digital literacy and proficiency with Google Workspace tools.
Ability to manage multiple content projects and meet deadlines in a fast-paced environment.
What you need to succeed:
Creative thinking combined with strong attention to detail and editorial precision.
Excellent communication and collaboration skills.
A proactive, independent, and results-oriented approach to work.
Strong organizational and time management skills.
Curiosity, adaptability, and a willingness to explore new technologies and AI-driven solutions.
Ability to understand complex topics and communicate them clearly to different audiences.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development
: Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment.
Work-Life Balance
: Choose your working format – remote, office-based, or hybrid and engage in team-building activities.
Think this role’s got your name on it? Go ahead and apply, we’d love to see what you’ve got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: Paris
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
Our mission
Shape the engineering foundations of Mistral AI’s next generation of compute capacity while improving the resilience of the infrastructure already in service. This role combines technical design leadership with field reliability engineering: you will establish demanding, practical requirements for colocation power and cooling, scrutinize proposed solutions and turn operating experience into better designs, safer changes and more reliable AI capacity.
Operating context & accountability
Mistral deploys high-density AI infrastructure in colocation facilities, where partners operate the underlying critical plant. You will be Mistral’s technical counterpart to providers, designers, commissioning specialists and internal IT and capacity teams. The position combines forward-looking design authority with hands-on technical investigation and portfolio reliability improvement. It requires depth in one core engineering discipline and the judgment to lead multidisciplinary decisions with specialist support.
Key responsibilities — design and technical standards
- Own and continuously improve Mistral’s technical design criteria and colocation requirements for new facilities, expansions and retrofits, including availability objectives, failure domains, maintainability and operational flexibility.
- Translate GPU platform roadmaps into measurable facility envelopes: IT load and transients, rack density, electrical topology, redundancy, cooling capacity, supply/return temperatures, flow, pressure, water quality and monitoring.
- Review utility and MV/LV arrangements, transformers, generators, UPS, switchgear, busway, protection coordination, earthing, power quality and metering for suitability under demanding AI loads.
- Review mechanical and controls architecture, including chilled-water and heat-rejection systems, pumps, control sequences, CDU integration, leak detection, filtration, water treatment and cooling recovery scenarios.
- Lead multidisciplinary reviews of single-line diagrams, P&IDs, sequences of operation, design calculations, capacity models, failure-mode studies and proposed deviations; document risks and decisions.
- Participate in site selection, technical due diligence, provider RFPs, design milestones and commercial technical schedules, challenging assumptions before they become delivery constraints.
- Define design review and exception processes that balance performance, resilience, deployment speed, efficiency, capital cost and long-term operability.
Key responsibilities — commissioning and delivery assurance
- Partner with delivery and commissioning teams to define functional and integrated testing requirements, acceptance criteria, evidence packages and outstanding-defect management.
- Validate that electrical and cooling infrastructure can support the contracted AI load envelope under normal, maintenance and credible fault conditions.
- Review test scripts and results for loss of utility, UPS/generator transitions, cooling component failures, controls faults, CDU interface events and staged restoration where applicable.
- Ensure operational handover includes accurate drawings, asset and interface registers, monitoring points, setpoints, maintenance constraints, emergency procedures and unresolved risk ownership.
- Support live-site changes and capacity upgrades with a disciplined review of impact, sequencing, rollback plans and operational readiness.
Key responsibilities — field reliability and root-cause analysis
- Act as a technical escalation point for recurring or high-impact electrical, mechanical and controls incidents across operational colocation sites.
- Analyze alarms, BMS/EPMS trends, event sequences, power-quality records, cooling telemetry, commissioning findings and maintenance evidence to distinguish symptoms from systemic causes.
- Lead or challenge technical root-cause investigations with colocation partners, including common-mode failures, protection miscoordination, thermal instability, control logic, hydraulic performance and hidden capacity limitations.
- Develop risk-ranked corrective actions and reliability improvement programs; validate effectiveness through evidence and post-change monitoring.
- Identify fleet-wide patterns and feed lessons learned into reference designs, acceptance tests, technical specifications and provider governance.
- Review maintenance and change proposals that create material exposure to compute availability, providing clear technical recommendations and escalation where required.
Key responsibilities — collaboration and leadership
- Work with IT hardware, network and platform teams to understand the operational consequences of rack-level and cluster-level failure domains.
- Influence colocation providers, consultants and OEM partners through technically rigorous, fact-based reviews without relying on direct operational authority.
- Present design trade-offs, reliability risks and investment recommendations in language accessible to engineering leadership and business stakeholders.
- Develop reusable standards, technical playbooks and engineering knowledge sharing to support consistent decisions across a rapidly expanding portfolio.
What success looks like
- New capacity is accepted against well-defined electrical, thermal and resilience criteria with transparent technical exceptions.
- Design risks are identified early, reducing late changes, stranded capacity and avoidable operational constraints.
- Repeat incidents and unresolved critical engineering defects decrease as corrective actions are verified.
- Field experience produces measurable improvements to future designs and live-site operating resilience.
Minimum qualifications
- At least 8 years in mission-critical data center design, engineering, commissioning or technical reliability, including responsibility for complex technical decisions.
- Degree in electrical or mechanical engineering, or equivalent professional experience, with deep knowledge in one discipline and strong working knowledge of the other.
- Demonstrated expertise in critical power and cooling architecture, redundancy, failure-mode analysis and operational risk management.
- Experience reviewing engineering drawings, calculations, commissioning evidence and root-cause analyses, and coordinating technical specialists.
- Ability to influence colocation providers and cross-functional stakeholders; excellent English communication and willingness to travel.
Preferred qualifications
- Experience with AI/HPC infrastructure, high-density accelerator platforms and direct-to-chip liquid cooling.
- Knowledge of CDUs, facility-to-technology cooling interfaces, hydraulic performance, cooling-water quality and leak management.
- Experience with electrical protection/selectivity, power quality, controls sequences, integrated systems testing and BMS/EPMS analytics.
- Experience creating technical standards across multiple sites or providers, including design deviations and fleet-wide reliability improvements.
- Professional engineering registration or equivalent technical credentials.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
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 Financial Data and Controls Lead to join our Billing Platform team. Billing Platform builds the systems customers use to transact with Anthropic: subscriptions, usage billing, quote to cash, invoicing, and payments. You'll be the dedicated owner of billing accuracy, reconciliation, and financial controls across those systems, making sure the right checks run, the right controls are in place, and the audit evidence exists.
Our billing systems and pricing change often, and each flow needs to meet SOX requirements. Accurate billing is what lets us launch products and pricing quickly and still close the books on time. The hard problems today include validating negotiated pricing from contract to invoice, handling the many forms of credits, app store billing, and keeping controls current while the systems under them are replaced.
This is a foundational role and the first hire of its kind on the team. You'll lead a working group of the reconciliation and controls owners from each billing engineering team, and you'll set the approach they follow. You'll work closely with Finance Systems, Accounting, Internal Audit, and Data Engineering.
The role sits in Engineering and works with Finance every day. Our Data organization builds the pipelines and owns the warehouse, and you'll use that data and partner with that team. We're looking for an engineer or data practitioner with strong accounting domain knowledge, who can talk to engineers about systems and to Finance and auditors about risk and materiality.
Key responsibilities
Own reconciliation and accuracy checks for critical billing data (quantity, price, discounts, and invoices) across our product platform, third-party billing and payment providers, app stores, cloud marketplaces, and in-house systems
Design and run detective controls that catch billing errors before they reach the accounting books
Partner with billing engineering teams to turn repeat checks into automated verifiers
Review billing changes that have financial impact, flag the ones that touch SOX or IT application controls (ITACs), and make sure functional test evidence is in place
Make SOX review a standard, lightweight step in how billing changes ship, treated like a security review, so launches are not delayed by it
Own the end-to-end test strategy and audit evidence for those changes, working with Finance Systems, Data Engineering, Accounting, and Internal Audit
Triage billing errors, prioritize backfills and fixes with the owning teams, and track materiality over time
Define and maintain the data contracts between billing and finance systems, so downstream teams can find and trust the data they need
Lead the working group of reconciliation and controls owners across billing engineering teams, through influence and not reporting lines
Act as the Billing owner, alongside Accounting and Finance Systems, for translating the product and pricing roadmap into financial impact, test strategy, and process updates
Minimum qualifications
Experience building or owning a financial ledger, billing reconciliation, or cash reconciliation system end to end, one that Accounting relied on to close the books
Hands-on SQL skills strong enough to take two messy datasets (for example usage events and invoices), match them, find the breaks, and explain the root cause
Accounting domain knowledge (order to cash, month-end close, and materiality) sufficient to tell which billing changes have financial impact
Experience working with SOX and Internal Audit teams on IT application controls, detective controls, transaction monitoring, functional test evidence, and auditor walkthroughs
Experience defining data contracts between billing or product systems and finance systems such as the ERP, general ledger, or revenue recognition
Track record of driving work across Engineering, Finance, Accounting, and Audit without direct authority
Ability to explain technical issues to Finance and auditors in their terms, and financial risk to engineers in theirs
Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems
Preferred qualifications
Background as a backend, data, or analytics engineer who built a financial ledger or cash reconciliation system from scratch
Experience running these systems under public company reporting requirements, and scaling them as the company grew
Experience with usage-based or consumption billing
Experience with multi-party billing, such as marketplaces, or app stores
Experience turning manual checks into automated verifiers with engineering teams
Experience remediating a control deficiency, or standing up a controls program while the underlying systems were changing
A track record of using Claude or other AI tools to automate reconciliation, testing, or evidence collection, with checks that hold up to review
Experience with billing and finance tools such as Stripe, Metronome, Zuora, NetSuite, or Workday Financials
Python for data analysis or automation
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:
$345,000
—
$425,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 the role
Reinforcement learning is how Claude learns to reason, write code, and act autonomously over long horizons. At frontier scale, an RL run is a large distributed system: training, sampling, and environment execution run concurrently across a large fleet of accelerators and hosts. As an engineer in RL Engineering, you'll work on keeping that system secure as it scales.
This is a hands-on engineering role. You'll work in the RL codebase and the infrastructure underneath it, alongside the engineers and researchers who build and use it. The system is large and changes as fast as the research does, so security work here has to keep up with that pace without costing performance or velocity.
We're hiring from two backgrounds: security engineers who want to work on large-scale ML systems, and ML systems or research engineers who want to work on security. Strong candidates have depth in one and real interest in the other.
Key responsibilities
Design, build, and operate security controls for RL training systems and the infrastructure they run on
Work across the stack (orchestration, environments, training, inference) wherever the work is needed
Review designs and code across the RL stack, find security problems, and fix them
Build shared libraries and tooling that other RL engineers and researchers build on
Build the observability needed to understand what these systems are doing
Work with researchers and performance engineers to make sure security changes preserve training correctness and performance
Write clear design documents for what you build
Minimum qualifications
Strong software engineering skills in Python and at least one systems language such as Rust, C++, or Go
Experience designing, building, and operating large-scale distributed systems or security systems in production
Strong understanding of security fundamentals
Working knowledge of Linux, containers, and cloud infrastructure
Experience debugging complex problems across many hosts and services
Ability to reason about tradeoffs between security, performance, and reliability
Strong written communication, including design documents
Preferred qualifications
Experience running ML training or inference infrastructure at scale
Experience with infrastructure security, such as isolation, access control, networking, or identity
Experience with container orchestration such as Kubernetes, and with sandboxed or virtualized code execution at scale
Experience building observability for large fleets
Experience supporting research teams or other fast-moving internal users
Familiarity with reinforcement learning or large language model training workloads
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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
As a Sales Development Manager for Enterprise at Anthropic, you will lead the team that opens our most strategic customer relationships. You'll build and manage a team of 6-10 Business Development Representatives (BDRs) who generate high-value pipeline inside complex enterprise organizations through account-based prospecting, multi-threaded outreach, and rigorous qualification.
Enterprise buying is long and involves many stakeholders. The work here is less about volume and more about depth: knowing an account well enough to reach the right people with the right message, and staying with it long enough to turn early conversations into real opportunities. You'll bring a strong understanding of enterprise sales cycles and organizational dynamics, and you'll coach your team to develop strategic accounts over time.
You'll partner closely with Enterprise Account Executives and with leaders across Sales, Revenue Operations, Strategy, and Marketing. You'll also develop the next generation of Anthropic's enterprise sellers, helping BDRs grow into Account Executive roles while they help the world's largest organizations adopt safe, frontier AI.
Key responsibilities
Build, lead, and scale a team of BDRs focused on the Enterprise segment
Drive strategic pipeline generation through account-based prospecting and targeted outbound campaigns to Global 2000 accounts
Coach your team on partnering with Enterprise Account Executives to develop account plans, coordinate multi-threaded outreach, and ensure high-quality opportunity handoffs
Establish and track KPIs focused on opportunity quality, deal size, and strategic account penetration
Coach and model for your team on enterprise prospecting, stakeholder mapping, and complex qualification
Build a deep understanding of enterprise buying processes, and coach the team on navigating procurement, legal, and security requirements
Own pipeline reviews with sales leadership covering enterprise pipeline health, account penetration, and competitive positioning
Build strong relationships with cross-functional leaders and partners across Sales, Revenue Operations, Strategy, and Marketing
Coach and mentor BDRs on strategic prospecting, executive engagement, and career development toward Account Executive roles
Minimum qualifications
Experience managing BDR, SDR, or new business Account Executive teams in an enterprise-focused sales organization
A track record of building teams that prospect successfully into complex enterprise organizations
Experience with account-based selling strategies, including account planning, stakeholder mapping, and multi-threaded outreach
Hands-on proficiency with a CRM and sales engagement tooling (e.g., Salesforce, LinkedIn Sales Navigator, or similar), and the analytical skills to design prospecting systems and measure pipeline quality
Demonstrated ability to coach representatives on navigating complex organizational structures and multi-stakeholder deals
Clear written and verbal communication, including the ability to engage executive-level stakeholders
An understanding of Anthropic’s products, ecosystem, and hands on building experience with LLMs
Excitement about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Personal closing experience as an Account Executive, Account Manager, ideally in a management role
Experience managing teams that prospect into Fortune 500 or Global 2000 accounts
A track record of developing BDRs who move successfully into enterprise Account Executive roles
Experience building enterprise prospecting playbooks where none existed
Hands-on experience with Claude, Claude Code, or other AI prospecting tools, and with sales tools such as Apollo and HubSpot
Experience in API-first, consumption-based, or platform business models
Background in AI or machine learning, cloud infrastructure, or developer platforms
Familiarity with enterprise procurement, security review, and legal processes
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
—
$350,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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 City, NY
Workplace: hybrid
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
The Senior Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments.
Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work.
This is a senior, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly.
Key Responsibilities
Strategic Deal Engagement
Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos.
Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution.
Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee.
Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership.
Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs.
Influence the successful closing and win rates of strategic accounts in collaboration with the sales team.
Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below).
Internal Team Partnership
Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against.
Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc.
Build and maintain demo environments used for events or sales cycles.
Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market.
Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio.
Qualifications
We are looking for an experienced
practitioner
who lives at the intersection of legal practice and technology. Candidates may have experience such as the following:
A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice.
A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent.
An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams.
In addition, candidates should have:
Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership.
Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences.
Dynamic storytelling ability with a persuasive, executive-ready presentation style.
A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly.
Travel & Location
This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation
Compensation Information: $185,000 - $225,000+
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Location: Chicago, IL
Workplace: remote
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
The Senior Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments.
Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work.
This is a senior, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly.
Key Responsibilities
Strategic Deal Engagement
Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos.
Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution.
Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee.
Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership.
Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs.
Influence the successful closing and win rates of strategic accounts in collaboration with the sales team.
Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below).
Internal Team Partnership
Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against.
Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc.
Build and maintain demo environments used for events or sales cycles.
Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market.
Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio.
Qualifications
We are looking for an experienced
practitioner
who lives at the intersection of legal practice and technology. Candidates may have experience such as the following:
A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice.
A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent.
An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams.
In addition, candidates should have:
Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership.
Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences.
Dynamic storytelling ability with a persuasive, executive-ready presentation style.
A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly.
Travel & Location
This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation
Compensation Information: $185,000 - $225,000+
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Location: San Francisco
Workplace: remote
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
The Legal Solutions Engineer is the technical and domain expert on Filevine’s Enterprise and Strategic deals — the most sophisticated and highest-value opportunities in our pipeline. You will partner closely with Account Executives to position Filevine’s case management, AI, and contract management solutions to large law firms, insurance carriers, government entities, and corporate legal departments.
Unlike a traditional solutions engineer who joins late in the cycle to run a demo, you will be embedded across the full sales cycle — from early discovery through to close — on Strategic accounts. You will sit in the room (often in person) with sophisticated legal buyers, diagnose how their teams actually work and where time is lost, and translate that understanding into a credible, defensible solution narrative. You will also serve as connective role between sales, product, and marketing, making sure the way Filevine talks about its products in market is grounded in how those products actually work.
This is a high-impact, accelerated role. You will be given immediate exposure to Enterprise and Strategic deals rather than ramping through the standard SMB-to-Enterprise progression, and you will work directly with sales leadership and executives regularly.
Key Responsibilities
Strategic Deal Engagement
Partner with Account Executives across the full sales cycle on Enterprise and Strategic opportunities — participating actively in discovery, not just demos.
Assist in leading consultative discovery with sophisticated legal buyers: understand their practice, workflows, and operational pain before positioning a solution.
Prepare and deliver compelling, story-driven product demonstrations tailored to each prospect’s practice area and buying committee.
Translate complex product and technical concepts for both legal and technical audiences, and earn credibility with practicing attorneys and firm leadership.
Research and recommend the right combination of solutions from Filevine’s suite — including LOIS — to address each customer’s needs.
Influence the successful closing and win rates of strategic accounts in collaboration with the sales team.
Travel frequently for on-site discovery sessions, demos, and executive meetings (see Travel & Location below).
Internal Team Partnership
Partner with internal teams such as sales engineers, sales, marketing, product, etc. to develop accurate talk tracks, demo flows, and use cases for product launches and campaigns — providing real-world, field-tested input that marketing collateral can anchor against.
Support the Sales team — delivering product demos, producing video and live-demo content for partner referral programs, contributing to RFP responses, and representing Filevine at partner conferences and on-sites, etc.
Build and maintain demo environments used for events or sales cycles.
Partner with Product Management and Product Marketing on pre-launch enablement so AEs and SEs share a common anchor narrative before a release hits the market.
Support the development and delivery of internal sales certifications and training programs that keep the field current on Filevine’s rapidly evolving product portfolio.
Qualifications
We are looking for an experienced
practitioner
who lives at the intersection of legal practice and technology. Candidates may have experience such as the following:
A mid-level associate from a leading law firm — M&A, litigation, or capital markets — who has stayed close to legal innovation and is ready to move out of billable practice.
A legal operations veteran who came up through BigLaw or has experience with in legal ops, managed services, an ALSP, or a legal-technology incumbent.
An in-house lawyer who has built or co-designed internal tools, automation, or knowledge systems and is comfortable working alongside engineers and product teams.
In addition, candidates should have:
Demonstrated interest in and fluency with legal technology and AI — ideally evidenced by knowledge-management work, innovation projects, or thought leadership.
Strong interpersonal and communication skills, including the ability to translate between technical product teams, marketing, and customer-facing audiences.
Dynamic storytelling ability with a persuasive, executive-ready presentation style.
A curious, consultative, problem-solving mindset and comfort operating in environments where messaging and product evolve quickly.
Travel & Location
This role carries a weekly travel expectation. Filevine is currently fielding one to three Enterprise/Strategic on-site requests per week, and this position exists to meet sophisticated buyers where they are — in their offices, at conferences, and at executive meetings. The possibility of weekly travel should be an expectation
Compensation Information: $185,000 - $225,000+
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite. Some roles offer a hybrid schedule of 2–3 days in-office per week
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Location: Los Angeles, CA or Remote
Workplace: onsite
Role Description
Spin.AI is looking for a highly analytical, hands-on Growth Marketing Lead to own the performance engine behind our inbound marketing strategy across Spin.AI’s portfolio: including Backup (Mission critical SaaS apps), Security (DLP and Browser), and Atlassian backup/ecosystem.
This person will connect organic, paid, social, web, retargeting, nurture, conversion, and performance measurement into a cohesive inbound growth engine. You'll partner closely with our Director of Marketing to take strong stories, campaigns, content, and creative and ensure they reach the right audiences, convert effectively, and contribute to a measurable pipeline.
You'll serve as the internal owner of growth performance, connecting marketing programs, external agencies and freelancers, our fractional Marketing Operations support, data, and funnel performance. You'll have significant ownership and autonomy in this role.
We're hiring you for your expertise, and we trust you to use it. We want you to challenge assumptions, bring forward ideas, tell us when you think there's a better way, and make decisions within your area of ownership. You won't have someone standing over you telling you how to do your job; you'll have the space and support to figure out what will drive results and execute against it.
What You'll Own:
Inbound Growth & Demand
Own performance across the inbound marketing funnel, from acquisition through qualified opportunity.
Understand how prospects discover, engage with, convert through, and progress across marketing channels.
Identify gaps, friction, and growth opportunities throughout the buyer journey.
Partner with the Director of Marketing to connect organic visibility to measurable business outcomes.
Develop a holistic view of inbound performance across all three brands.
Paid Acquisition & Performance Marketing
Own paid acquisition strategy across Google, LinkedIn, retargeting, paid social, and additional channels.
Manage and optimize paid marketing budgets.
Determine where investment should increase, decrease, or be tested based on performance.
Develop audience, offer, channel, and campaign testing strategies.
Evaluate performance based on qualified opportunities and pipeline—not simply impressions, clicks, or lead volume.
Manage paid media agencies, freelancers, and specialized partners.
Campaign Activation & Distribution
Partner closely with the Director of Marketing to turn integrated campaign strategies into measurable growth programs.
Develop distribution and amplification plans around major campaigns and content.
Determine appropriate audiences, channels, offers, conversion points, and follow-up strategies.
Ensure campaigns have clear paths from awareness and engagement to conversion.
Find opportunities to extend the reach, performance, and business value of existing content and creativity.
Conversion Rate Optimization
Own CRO across landing pages, forms, CTAs, campaign experiences, and key website conversion paths.
Partner with the Director of Marketing and creative resources on messaging and creative variations.
Build and maintain an ongoing testing roadmap and turn successful experiments into repeatable best practices.
Retargeting, Lifecycle & Lead Nurture
Develop strategies for continuing to engage prospects after their initial interaction.
Build retargeting audiences and programs across relevant channels.
Develop lifecycle segmentation and nurture strategies.
Partner with fractional Marketing Operations support on automation and technical implementation.
Improve progression from initial engagement to qualified opportunity.
AI-Native Marketing & Execution
Be AI-native in how you work, using AI as an everyday part of research, analysis, execution, experimentation, and decision-making – not simply as a writing assistant.
Use AI to analyze marketing and performance data, uncover trends and anomalies, synthesize insights, identify growth opportunities, and accelerate reporting.
Use AI to accelerate campaign development and experimentation, including audience research, messaging variations, landing-page testing, creative ideation, and performance analysis.
Build AI into repeatable workflows to automate manual work, connect information across tools, and increase the speed and quality of marketing execution.
Be comfortable working with leading AI platforms and AI-enabled productivity tools such as ChatGPT, Claude, Claude Cowork, and similar tools, while continuously evaluating new technologies as the ecosystem evolves.
Know how to work effectively with AI-generated analysis: asking the right questions, providing the right context and data, validating outputs, and applying human judgment before acting on recommendations.
Proactively identify opportunities where AI can make our marketing organization faster, smarter, more analytical, and more scalable.
Growth Experimentation
Maintain a prioritized growth experimentation roadmap.
Move quickly from hypothesis to execution
Scale what works and stop what doesn't.
Proactively bring new ideas, channels, technologies, and opportunities to the team rather than waiting for them to be assigned.
Performance Analytics & Attribution
Connect marketing activities to measurable business outcomes.
Understand performance across visitor → lead → qualified lead → opportunity → pipeline.
Establish KPIs for campaigns and acquisition programs.
Monitor acquisition costs, funnel conversion, opportunity creation, pipeline contribution, and campaign ROI.
Turn performance data into recommendations and actions, not simply dashboards.
Help leadership understand what's working, what's not, why, and what Marketing should do next.
Partnership With the Director of Marketing
This is designed to be a
close counterpart relationship between two distinct areas of marketing expertise.
The Director of Marketing owns the
market-facing strategy
: overall marketing strategy, integrated campaigns, narrative, brand, content, messaging, creative direction, organic strategy, customer storytelling, thought leadership, and market POV.
The Growth Marketing Lead owns the
performance engine
: acquisition, distribution, activation, conversion, retargeting, nurture, experimentation, optimization, and measurement.
You'll be involved early in campaign planning, not handed finished assets and asked to promote them. Your audience, channel, conversion, and performance insights should influence how campaigns are built from the beginning.
At the same time, the role maintains clear functional ownership. The Growth Marketing Lead does not replace ownership of overall marketing strategy, brand strategy, editorial strategy, company narrative, creative direction, or integrated marketing strategy.
Both roles remain deeply connected to GTM, pipeline, revenue, and business outcomes.
Together, they create the feedback loop between what the market needs to hear and what performance data tells us is resonating.
Fractional Marketing Operations Partnership
The Growth Marketing Lead will work closely with a
fractional/retained Marketing Operations resource
who can support the technical infrastructure required to run and measure the growth engine.
This may include CRM and marketing automation infrastructure, campaign tracking and attribution, lead scoring and routing, lifecycle automation, integrations, database health, dashboards, and reporting infrastructure.
You don't need to personally administer every system. You
do
need enough technical fluency to know what needs to be built, articulate the business requirements, recognize when something isn't working correctly, and use the resulting data to make informed decisions.
You will effectively serve as the
business owner of marketing performance
, with specialized Marketing Operations support helping i
What Success Looks Like:
Success will be measured through outcomes including:
Marketing-sourced pipeline
Qualified opportunities generated
Inbound conversion rates
Cost per qualified lead and opportunity
Lead-to-opportunity conversion
Paid acquisition efficiency
Landing-page and website conversion
Funnel velocity
Growth experiment performance
Improved visibility and confidence in marketing performance across the portfolio
Experience We're Looking For:
3–5+ years of B2B growth, demand generation, performance marketing, or related experience, ideally within cybersecurity, SaaS, or technology.
Demonstrated experience owning multi-channel inbound acquisition programs.
Hands-on understanding of Google Ads, LinkedIn Ads, retargeting, paid social, and performance marketing.
Strong understanding of SEO and organic acquisition, with experience connecting organic traffic to conversion and pipeline.
Experience with landing-page optimization, CRO, A/B testing, and structured experimentation.
Experience building retargeting, nurture, and lifecycle programs.
Strong understanding of B2B marketing funnels and progression from visitor through lead, opportunity, pipeline, and revenue.
Experience working with CRM, marketing automation, attribution, analytics, and reporting systems.
Demonstrated proficiency using AI in modern marketing workflows, including research, data analysis, reporting, campaign optimization, experimentation, automation, and productivity. You should be comfortable working across leading AI platforms and quickly learning new tools as they emerge.
Strong analytical skills and the ability to translate data into clear recommendations and actions.
Experience managing agencies, freelancers, vendors, and specialized external resources.
Experience collaborating closely with senior marketing leadership, Content/Creative, Sales, Product, and external Marketing Operations resources.
Comfortable balancing strategic thinking with hands-on execution.
Cybersecurity experience is valuable, but strong B2B SaaS experience combined with the ability and desire to learn a technical market quickly can also be successful.
How We Work:
You have a startup mindset.
You're a self-starter who doesn't need someone telling you what to do throughout the day. You can take a business objective, figure out what needs to happen, ask the right questions, and independently move the work forward. You're resourceful, curious, and a fast learner.
We trust your expertise.
There is real ownership in this role. We hire great people because we want their ideas, judgment, and experience – not because we want someone to simply execute instructions. If you think there's a better approach, we genuinely want to hear it. If the data is telling you we should change direction, say so. You'll be trusted to make decisions within your area, experiment thoughtfully, and do your job in the way you believe will produce the strongest results.
You're collaborative and dynamic.
You'll work closely with the Director of Marketing, broader marketing leadership, Sales, Product, external partners, and specialists across the organization. You know how to bring strong opinions and expertise to the table without creating territorial silos. You communicate well, welcome feedback, and value other people's expertise as much as your own.
You move fast.
We'd rather thoughtfully test a strong idea, learn from it, and iterate than spend months trying to make something theoretically perfect. You know how to prioritize, execute, measure, and move forward. If something doesn't work, understand why, learn from it, and try again.
You take ownership.
If something you're responsible for isn't working, you investigate it. If tracking looks wrong, you flag it. If an agency isn't delivering, you address it. If you see an opportunity, you bring it forward. "Nobody told me to" isn't how we operate.
You're a team player.
We care about the work we do and the people we do it with. You take pride in producing great work, celebrate team wins, help when someone needs it, and genuinely enjoy collaborating with smart people toward a shared goal.
You're adaptable.
Our products evolve. Technology advances. Messaging changes. Priorities change. AI is changing how people discover and consume information, and cybersecurity certainly doesn't stand still. You're comfortable operating in a fast-moving technical market and can learn quickly enough to keep pace.
You're AI-native.
AI is changing both the cybersecurity market we operate in and the way great marketing teams work. We expect you to use it. Whether you're analyzing campaign data, researching an audience, building a workflow, pressure-testing an idea, finding patterns, or eliminating repetitive work, your instinct should be to ask how AI can help you do the job better and faster. We're not looking for someone who occasionally opens an AI tool, we want someone who actively experiments with new capabilities and incorporates the best ones into how they work.
You're comfortable with cybersecurity.
You don't need to know every acronym on day one, but you should enjoy learning complex technology and understanding the problems our customers are trying to solve. You can become conversant enough in cybersecurity to make intelligent decisions about audiences, campaigns, messaging, and performance.
You care about outcomes more than activity.
Launching a campaign isn't the finish line. A beautiful dashboard isn't the outcome. More leads aren't necessarily better leads. You want to understand what actually moved the business and what we should do differently because of it.
And we genuinely enjoy working together!
Across Spin.AI, Revyz, and DoControl, we want people to be proud of what they build, without believing great work requires sacrificing everything outside of it. We respect work-life balance, trust people to manage their responsibilities, and value positive, healthy working relationships. We work hard, move quickly, and care deeply about results – but we also want people to enjoy the work they're doing and the life they're living while they do it. A positive attitude, mutual respect, and being someone others genuinely enjoy working with matter here.
What We Offer:
Unlimited PTO
Hybrid Office Model
Paid Holidays
Premium health, dental, vision, and life insurance, 100% covered by the company
401(k)
Employee Wellness Program
Why Spin.AI:
Inc. 5000 list for 2026! 🚀
Overall Ranking: #3,309
Industry Ranking: #107
Metro Ranking: #114
State Ranking: #463
Forbes Named Spin.AI One of America's Best Startup Employers
THREE
Years in a Row (2024- 2026)
Work in a fast-moving, high-impact cybersecurity company recognized by
Gartner, Forrester, and G2
.
Collaborative, transparent culture – your ideas and experiments matter.
Direct impact: your work translates into real business growth and visibility.
Growth opportunities and performance-based rewards.
Location: Athens
Workplace: Hybrid
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
About the role
We are looking for an ML Engineer to develop capabilities that work on physical robots. You will take ideas from model and data experiments through robotics integration and evaluation on real hardware.
Our fleet includes Unitree Go2, G1, H1, and B2 robots using NVIDIA Jetson Orin and Jetson Thor compute. Current areas of focus include navigation, learned policies, vision-language-action models, and robotics data.
What you will do
- Develop, train, adapt, and evaluate models for navigation, perception, planning, and robot behavior.
- Apply suitable methods such as imitation learning, reinforcement learning, or vision-language-action approaches.
- Build data collection and evaluation pipelines using real-world and simulated robotics data.
- Integrate models with robotics software, sensors, actuators, and control systems.
- Test on physical robots, measuring task success, sim-to-real performance, on-device latency, and failure modes.
- Work with ML, Engineering, robotics specialists, and Product to improve reliability and move prototypes toward repeatable deployment.
What you will need
- 3+ years of relevant ML or robotics engineering experience, or equivalent impact taking research into real-world systems.
- Hands-on experience developing and evaluating ML-enabled systems on physical robots.
- Strong Python and production software engineering skills, including experience with ROS or a comparable robotics framework.
- A strong ML background in robot learning, perception, imitation learning, reinforcement learning, multimodal models, or a related area.
- Experience with robotics data, simulation, experiment design, and evaluation on real hardware.
- Practical understanding of sensors, actuators, control loops, latency, and hardware debugging.
Nice to have
- Vision-language-action models, multimodal foundation models, or generative world models.
- Experience with humanoids, mobile or dexterous manipulation, or other complex robotic platforms.
- Sim-to-real transfer, teleoperation, human demonstration data, or large-scale robotics data collection.
- C++, low-level control, tactile or force sensing, or real-time systems.
What is there for you
- Compensation: Competitive package aligned with talent benchmarks.
- Impact: Hands-on work shaping AI capabilities for Kiefer Tech’s products and real-world applications.
- AI-native environment: Real challenges across model development, evaluation, and production AI systems.
- Culture: Engineering-first, high autonomy, low bureaucracy, and space to shape meaningful AI products.
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: San Francisco
About the Department
Account Executives, Channel Account Managers, Business Development Representatives, Solution Engineers, Customer Success, and Sales Operations - all working together help our customers adopt Cloudflare and create great Internet-enabled experiences. The sales team at Cloudflare helps customers solve real, technical problems while creating the revenue streams that help the company provide free service to millions in our community.
About this Role
Senior AEs are positioned to drive in-depth product discussions while communicating and demonstrating value quickly to customers. This role within this segment focuses on both the acquisition of prospective Commercial accounts, as well as the expansion of existing customer accounts. The ideal candidate will have both a sales and technical background that enables them to drive customer engagement from technical professionals through to senior executive levels, and across Security, Network, Development and Infrastructure teams.
Key Responsibilities
Develop, execute, and maintain your territory plan to exceed quarterly sales targets and annual quota assignment.
Be an expert in three unique sales motions; new business acquisition (new customer logos), customer expansion (upsell and cross sell Cloudflare solutions), and renewal within your territory.
Build a robust sales pipeline utilizing the four sourcing funnels: AE led outbound, BDR, Channel, and Marketing Inbound.
Develop and strategically leverage a deep technical understanding of the problems Cloudflare solves in order to drive a consultative sales motion.
Craft and communicate compelling value propositions for Cloudflare services. Drive awareness through regular outbound campaigns on product and feature roadmap updates.
Accurately forecast, build commercial outcomes by running a consistent sales process, including driving next step expectations and contract negotiations.
As a trusted advisor, build long-term strategic relationships with key accounts, to ensure customer adoption, retention and expansion. Regularly evaluate usage trends and articulate value to show Cloudflare impact and provide strategic recommendations during business reviews.
Network across different business units with each of your accounts, and multi-thread to identify and engage new divisional buyers.
Position Cloudflare's platform in each of your target customers, including Cloudflare One and the Connectivity Cloud to realize our full potential in every customer.
Operate internally as a liaison with cross-functional teams to share key customer feedback and insights to improve customer experience and further investments with Cloudflare.
Requirements:
5+ years sales experience selling B2B SaaS
Strong B2B discovery skills
Candidates have a point of view of industry trends and able to customize a client centric why change narrative
Track record of beating annual targets of $1M+ and successfully managing complex six figure deals
Experienced in multithreading into the C-suite and across an organization to manage a complex sales cycle
Self-motivated; entrepreneurial spirit
Bachelor's degree required
Software and system skills are a must (SFDC, Tableau, G-suite, MSFT suite)
Ability to travel up to 25% of the time.
Compensation
Compensation may be adjusted depending on level and work location.
For Bay Area-based hires: Estimated annual salary of $244,000 - $336,000
This role is eligible to earn incentive compensation under Cloudflare’s Sales Compensation Plan. The estimated annual salary range includes the on-target incentive compensation that may be attained in this role under the Sales Compensation Plan.
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Seattle
Workplace: Hybrid
🏥 ABOUT SAILOR HEALTH
Sailor Health http://sailorhealth.com/ is on a mission to to reinvent the aging experience in America. Getting older in America is tough: 90% of seniors live with chronic health conditions, 40% feel isolated, and older adults have the highest suicide rates of any age group. Sailor exists to change that.
Sailor Health is building the health & wellness platform for aging. Covered by Medicare, we offer virtual mental health care, wellness classes, care navigation, and AI care agents. Our vision is to become the trusted household name for older adults in America, setting a new standard for aging with dignity and honor.
We are proud to serve thousands of patients across 50 states and to accept Medicare (the majority of our patients pay $0 out of pocket). We are also honored to have the support and backing of world-class founders from Ramp, Nourish, Headway, Charlie Health, and Spring Health.
⭐ ABOUT THE ROLE
At Sailor Health, our Provider Partnership team is at the heart of everything we do. They are the bridge between Sailor and the health systems, primary care practices, senior living communities, home care agencies, and community organizations that support older adults every day.
As the first Provider Partnership Manager in Seattle, you will help launch Sailor in a brand-new market serving millions of seniors. This is a highly entrepreneurial opportunity where you’ll build Sailor’s local presence from the ground up. You’ll be in the field developing relationships across the healthcare ecosystem and establishing Sailor as the trusted behavioral health partner for older adults in the market.
This is a uniquely meaningful role. Because of our focus on senior mental health and insurance-covered care, you’ll often be the only person in the room doing what you do. Every conversation is an opportunity to advocate for an overlooked population and expand access to care for older adults who too often fall through the cracks.
At Sailor, we lead with our why, and you’ll represent that mission every day in the communities you serve.
💻 WHAT YOU’LL DO
- Build Referral Partnerships: Develop relationships with physicians, care coordinators, social workers, assisted living facilities, and senior-focused organizations. Educate providers and office staff on Sailor Health’s services, patient eligibility, and referral workflows
- Own Territory Growth: Grow referral volume across your market by developing new partnerships, managing relationships with high-priority accounts, and driving consistent outreach across the local healthcare ecosystem.
- Operate in the Field. Spend 4–5 days per week meeting partners in person across your territory. Attend community events, provider meetings, and networking opportunities
- Collaborate Cross-Functionally. Partner closely with clinical, operations, and patient experience teams to ensure a seamless referral and onboarding experience. Share market feedback to improve provider experience, patient activation, and growth strategy. Help refine outreach processes, messaging, and partnership playbooks as the company scales
- You're comfortable with range. You can give a presentation to 20 providers and walk into a solo PCP's office to build a 1-on-1 relationship. You're strategic at the territory level and granular on follow-up.
✅ IDEAL QUALIFICATIONS & SKILLS
At Sailor, we value character over experience. If the below points sounds like you, we’d love to hear from you.
- You have empathy AND hunger. You're someone who connects authentically with older adults while having the relentless drive to turn that care into results. You hit goals and you keep people at the center.
- You've built relationships from scratch in high-activity sales/development roles. Whether medical sales, pharma, recruiting, business development, or community organizing—you've prospected, handled rejection, built pipelines, and converted. You know how to move from no to yes.
- You're entrepreneurial and resourceful. You learn quickly, operate well in ambiguity, and take ownership without waiting for the perfect playbook.
- You have exceptional attention to detail. You stay organized, maintain a clean CRM, follow through consistently, and ensure partners, patients, and teammates have a high-quality experience at every touchpoint.
- You genuinely believe in the opportunity and mission. Senior behavioral health is deeply underserved, and you’re excited by the chance to help build the trusted behavioral health partner that changes how older adults access care.
🚀 OUR OFFER TO YOU
- 💰 Competitive salary and uncapped variable compensation tied to performance
- 🩺 Comprehensive benefits, including medical, dental & vision insurance
- 🚗 Field-based reimbursement mileage at IRS rates
- 🍱 Company card for provider meals and engagement
- 🌴 Flexible PTO and sick days
- 🕺🏻 Friendliest and most dynamic team culture that actually care about you
- ✚ We are a small team looking for people that can develop into leaders as we grow
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 is seeking an experienced Corporate Development professional to drive key strategic initiatives, including sourcing and executing acquisitions and strategic partnerships. In this role, you will partner directly with key members of Anthropic's leadership team to shape our growth strategy and help build the ecosystem around safe, beneficial AI, grounded in Anthropic’s strategic priorities. As a critical strategic partner, you'll identify opportunities for expansion, lead complex transactions, and ensure successful integration of new capabilities into our organization.
The ideal candidate brings a unique combination of strategic thinking, technical understanding, and execution capability. You're passionate about AI safety and Anthropic's mission to create AI systems that are helpful, harmless, and honest. You thrive in ambiguous environments and can navigate complex negotiations while maintaining strong relationships across multiple stakeholders.
Key responsibilities
Help shape the corporate development function, establishing best practices across the full spectrum of transactions from acquihires to transformational acquisitions
Partner closely with cross-functional product, engineering, and research teams to understand and assess the technical and strategic value of potential opportunities
Lead end-to-end transaction processes, from initial sourcing through due diligence, negotiation, and integration
Create streamlined processes for rapid evaluation and execution of technical talent acquisitions
Build and maintain relationships with entrepreneurs, venture capitalists, and strategic partners in the AI ecosystem
Conduct comprehensive market analysis to identify emerging trends, competitive dynamics, and growth opportunities in AI and related technologies
Structure and negotiate complex deals, working closely with legal, finance, and other cross-functional teams
Drive post-transaction integration efforts, ensuring successful realization of strategic objectives
Develop financial models and valuation analyses to support investment decisions
Present strategic recommendations to executive leadership and board members
Support the growth of Anthropic's partnership ecosystem, including relationships with cloud providers and enterprise customers
Minimum qualifications
Possess strong technical understanding through either work experience (as a software engineer, product manager, or investor) or educational background (Computer Science degree or equivalent)
Demonstrate exceptional analytical and financial modeling skills
Have experience leading complex M&A transactions or strategic partnerships in technology sectors
Excel at building relationships and can effectively engage with technical and business stakeholders
Are comfortable operating in fast-paced, ambiguous environments with competing priorities
Possess outstanding communication skills, both written and verbal, with ability to influence at all levels
Have a deep interest in AI safety and alignment with Anthropic's mission
Preferred qualifications
Have 12+ years of corporate development experience, with demonstrated success building or significantly scaling corp dev functions at high-growth technology companies
Have direct experience in AI/ML companies or deep learning research environments
Bring an established network within the AI startup ecosystem and venture capital community
Have led post-merger integration efforts or built new business units from the ground up
Possess an MBA or advanced technical degree
Have experience negotiating complex strategic partnerships with major technology companies
Demonstrate a track record of identifying and executing transformational opportunities
Show experience with international expansion or cross-border transactions
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:
$325,000
—
$425,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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’s mission is to ensure that the world safely makes the transition through transformative AI. Security is one of the clearest places where that mission plays out: the same capabilities that help attackers move faster can help defenders move faster too, and helping them use those capabilities safely and well is what this team is for. Security teams are among the earliest and most demanding users of frontier AI. They use Claude to review code at scale, find vulnerabilities before attackers do, and work through alert queues their analysts can’t keep up with. Anthropic’s Applied AI organization is building a dedicated Security team to help them do this well, and we are looking for its first leader.
You will build this team from zero. You’ll decide which security customers the team serves first, who you hire and in what order, and how the team works with Sales, Applied AI Engineering, and our security, legal, and trust partners. You’ll also stay hands-on with a few of our most important security customers, because what you learn in those accounts becomes the playbook for everyone else. You’ll also set the standard for how security customers use Claude responsibly, including where a person has to review the output before anyone acts on it.
What you’ll do
Hire, onboard, and develop the first Applied AI Architects on the Security team. Coach senior and early-career architects differently, and give each one clear goals.
Decide where the team spends its time: which segments and account types come first, which deals get architect coverage, and how to say no clearly when demand outruns headcount.
Partner with security account executives on joint account plans, regular pipeline and forecast reviews, and deals where the customer’s security review sets the close date.
Guide customers from discovery through evaluations and proofs of concept with written success criteria. Then take them from one-time code scans to sustained workloads: application security in the development lifecycle, continuous automated penetration testing, alert triage and investigation, and vulnerability and threat intelligence.
Work alongside the security ISVs, systems integrators, and managed security providers already in our customers’ accounts. Keep a clear line between what Anthropic delivers and what partners deliver.
Bring in Applied AI Engineers and our security, legal, and trust teams when a customer’s build or review needs them.
Write the first security playbooks, reference implementations, and evaluation approaches. Bring what you learn back to Product, Engineering, and Research, so Claude becomes more useful and more trustworthy for defenders at the same time.
Carry a small number of strategic security accounts yourself, from executive briefings with CISOs to hands-on workshops with their engineers.
You may be a good fit if you
Have 12+ years of industry experience with at least 4 years managing a team of customer-facing technical people, such as solutions architects, sales engineers, or security consultants, and can show how the team grew and performed under you.
Have hands-on security depth in at least one area, such as application security, detection and response, offensive security, or vulnerability management, deep enough that practitioners trust your judgment
. Application security experience highly preferred.
Have used LLMs for real security work, such as code review, vulnerability discovery, triage, or investigation, and can say where they helped and where they failed.
Have worked large enterprise security deals end to end, including customer security reviews, in close partnership with sales.
Care about making AI both safe and useful for defenders, and can explain security risk and value to a CISO and to the engineers who will run the work, in terms each one cares about.
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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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: Montréal
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Chez nous, le jeu, c’est du sérieux. Nous recherchons des aventurières et aventuriers curieux, prêts à trouver leur groupe, animés par l’imagination et la détermination de créer ce qui n’a encore jamais été créé. Chez Hasbro et Wizards of the Coast, vous collaborerez avec des équipes passionnées pour réinventer nos marques emblématiques et créer des expériences qui suscitent la joie, les liens et le sentiment de communauté grâce à la magie du jeu. Voici votre chance de façonner un jeu légendaire qui dure toute une vie.
Aperçu du poste
Nous construisons quelque chose de nouveau au sein de notre AI Studio, et nous recherchons un ingénieur ou une ingénieure DevOps pour nous aider à le façonner. Ce poste se situe au cœur d’un secteur d’activité nouveau et en constante évolution. Les problèmes sont encore en train de prendre forme, et les systèmes sont activement en cours de conception. Ce qui nous enthousiasme, c’est la possibilité de repousser les limites de ce que peuvent être les histoires et les personnages, et d’utiliser la technologie de la propriété intellectuelle (PI).
Nous nous concentrons sur la création des systèmes de base qui transforment des personnages et des univers, que le public regarde, en quelque chose avec lequel il peut interagir au fil du temps.
Ce poste assure le bon fonctionnement de la plateforme et rend sa mise en production sûre. En travaillant aux côtés des ingénieurs et ingénieures séniors de l’équipe de la plateforme, le ou la titulaire du poste contribuera à concevoir et à maintenir les pipelines, les environnements et l’infrastructure de production qui soutiennent notre plateforme de personnages : les API, les outils d’administration et les expériences vocales en temps réel sur lesquels s’appuient nos partenaires. Le succès dans ce rôle se traduit par des déploiements rapides, sans surprise et réversibles, ainsi que par un environnement de production qui demeure en santé à mesure que de nouveaux partenaires se joignent à la plateforme.
La plateforme est déjà en production; la première tâche consiste donc à renforcer ce que nous avons : améliorer la manière dont les versions parviennent en production, placer des alarmes en amont de chaque déploiement et s’assurer que les migrations de bases de données ne causent jamais de mauvaises surprises. Avec le temps, vous assumerez une plus grande responsabilité à l’égard de l’infrastructure à mesure que la plateforme s’étendra à de nouveaux partenaires, à de nouveaux environnements et à de nouveaux modes d’interaction, et nous accueillons avec plaisir les candidates et candidats qui apportent l’expérience acquise au fil de parcours variés. Au moment du déploiement, l’objectif est que personne n’ait à retenir son souffle.
Lieu et modalités de travail
Ce poste est basé à notre bureau de Montréal, au Québec (Canada), et suit un horaire hybride conçu pour favoriser la collaboration en personne. Les membres du personnel sont tenus de travailler sur place les mardis, mercredis et jeudis, avec la souplesse de travailler à distance ou sur place les lundis et vendredis.
Vos responsabilités
Intégration continue et livraison continue (CI/CD), y compris la construction d’images de conteneurs, la mise en cache, les points de contrôle de tests et la promotion du développement vers la production en passant par la préproduction.
Contribuer à la mise en œuvre de notre stratégie de déploiement pour les services conteneurisés, y compris les vérifications de l’état de santé et le retour arrière automatique lorsque des alarmes se déclenchent.
Maintenir et faire évoluer notre infrastructure infonuagique en tant que code sur plusieurs comptes AWS, des services de conteneurs et des bases de données gérées jusqu’à la mise en cache, la diffusion de contenu et la sécurité réseau.
Concevoir et ajuster la surveillance et les alertes afin que les problèmes soient détectés avant qu’un partenaire ne les remarque.
Assurer la rigueur de la gestion des accès et des secrets grâce à des autorisations selon le principe du moindre privilège, à des identifiants CI de courte durée et à des secrets gérés, à l’appui de nos engagements en matière d’IA responsable et de traitement des données.
Soutenir la gestion des environnements et les outils pour les personnes développeuses afin de permettre aux ingénieurs et ingénieures de livrer plus facilement des changements de façon autonome.
Ce que vous apportez
Ingénierie de la fiabilité des sites (SRE) : exploitation de systèmes de production sur AWS dont dépendent de vrais utilisateurs et utilisatrices.
Expérience pratique de l’infrastructure en tant que code (AWS Cloud Development Kit (CDK)). Vous accordez aux modifications d’infrastructure le même soin qu’aux modifications de code.
Expérience de la conception et de la maintenance de pipelines CI/CD pour des services conteneurisés. La connaissance de GitLab CI est un atout.
Connaissance pratique d’Elastic Container Service (ECS) et familiarité avec les nuages privés virtuels (VPC).
Connaissance pratique de Python ou de TypeScript pour l’écriture de scripts et l’automatisation.
Expérience de l’utilisation d’outils de surveillance, de journalisation et d’alertes.
Aisance dans un environnement en évolution rapide où les processus sont encore en cours d’élaboration, y compris la contribution à la documentation des guides d’exploitation.
Une maîtrise professionnelle du français et de l’anglais est exigée pour ce poste. L’anglais est nécessaire pour communiquer et collaborer régulièrement avec des collègues et des leaders établis aux États-Unis, qui travaillent principalement en anglais.
Ce qui vous distingue
Expérience des déploiements sans interruption de service, y compris le retour arrière automatisé.
Expérience de l’instrumentation avec Datadog ou OpenTelemetry.
Communication Web en temps réel (WebRTC)
Exploitation de PostgreSQL : migrations, sauvegardes et optimisation des performances, idéalement sur AWS Aurora.
Qui nous sommes
Nous sommes une équipe de créatrices et créateurs, de conteuses et conteurs et d’innovatrices et innovateurs réunis au sein de la famille Hasbro, qui regroupe des marques adorées, des studios de jeux numériques AAA et des expériences immersives qui stimulent l’imagination de toutes les générations. Ensemble, nous nous engageons à cultiver une culture fondée sur la créativité, l’excellence, la curiosité et l’inclusion, où chaque membre du personnel est habilité à penser avec audace, à agir avec intégrité et à faire naître la joie pour tous et toutes.
Hasbro
À propos de l’entreprise – Hasbro
Wizards of the Coast
Qui nous sommes – Wizards of the Coast
Égalité des chances
Hasbro s’engage à assurer l’égalité des chances dans tous les aspects de l’emploi. Nous nous engageons à prendre toutes nos décisions en matière d’emploi sans égard à la race, à la couleur, à la religion, au sexe, à l’orientation sexuelle, à l’identité ou à l’expression de genre, à l’origine nationale, à l’âge, à l’état civil ou à tout autre motif protégé par la loi.
Mesures d’adaptation
Si vous avez un handicap et avez besoin de mesures d’adaptation raisonnables pendant le processus d’embauche, veuillez en informer votre recruteur ou recruteuse en tout temps au cours du processus.
Avis concernant l’utilisation de l’IA par Hasbro dans le processus de recrutement
Nous utilisons l’outil Talent Matching de Greenhouse, propulsé par l’IA, pour comparer votre candidature aux exigences du poste.
Fonctionnement : Talent Matching compare les renseignements de votre curriculum vitæ et de vos réponses de candidature à des critères liés au poste, établis et pondérés par les équipes de recrutement et d’embauche de Hasbro. Selon le poste, ces critères peuvent comprendre les compétences pertinentes, l’expérience de travail, les titres de postes antérieurs et l’expérience dans le secteur. L’outil attribue ensuite une catégorie de correspondance afin de faciliter l’organisation des candidatures en vue de leur examen.
Supervision humaine : Talent Matching appuie l’examen humain, mais ne le remplace pas. L’outil ne fait pas progresser ni ne rejette automatiquement des candidatures et ne prend aucune décision d’embauche. Les recruteurs et recruteuses ainsi que les gestionnaires d’embauche de Hasbro examinent les candidatures et demeurent responsables de toutes les décisions d’embauche.
Greenhouse a publié les résultats d’un audit indépendant des biais de Talent Matching.
Consulter les résultats de l’audit de Greenhouse Talent Matching
.
#StudiosWizards
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
Location: Montréal
We take play seriously. We’re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what’s never been built before. At Hasbro and Wizards of the Coast, you’ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
Job Overview
We’re building something new inside our AI Studio, and we’re looking for a DevOps Engineer to help shape it with us. This role sits at the center of a new and constantly evolving business area. The problems are still taking shape, and the systems are actively being built. What excites us is the opportunity to push the boundaries of what stories and characters can be and to use technology intellectual property (IP).
Our focus is on building the core systems that turn characters and worlds from something audiences watch into something they can interact with over time.
This role keeps the platform running and makes shipping it safe. Working alongside senior engineers on the platform team, this DevOps Engineer will help build and maintain the pipelines, environments, and production infrastructure behind our character platform: the APIs, admin tooling, and real-time voice experiences that partners build on. Success here means deploys that are fast, boring, and reversible, and a production environment that stays healthy as more partners go live.
The platform is already in production, so the first job is helping make what we have more robust: improving how releases reach production, putting alarms in front of every deploy, and making sure database migrations never surprise anyone. Over time, you’ll take on more ownership of the infrastructure as the platform grows into new partners, environments, and interaction modes, and we welcome candidates who bring their experience from a variety of paths. When it’s time to roll out, the goal is that nobody has to hold their breath.
Location and Work Arrangement
This role is based at our Montreal, Quebec, Canada office and follows a hybrid schedule designed to support in-person collaboration. Employees are expected to work onsite on Tuesdays, Wednesdays, and Thursdays, with the flexibility to work remotely or onsite on Mondays and Fridays.
What You'll Do
Continuous Integration and Continuous Delivery (CI/CD), including container image builds, caching, test gates, and promotion from development through staging to production.
Help implement our deployment strategy for containerized services, including health checks and automatic rollback when alarms fire.
Maintain and extend our cloud infrastructure as code across multiple AWS accounts, from container services and managed databases to caching, content delivery, and network security.
Build and tune monitoring and alerts so problems surface before a partner notices them.
Keep access and secrets tight with least-privilege permissions, short-lived CI credentials, and managed secrets, in support of our responsible AI and data-handling commitments.
Support environment management and developer tooling that make it easier for engineers to ship changes on their own.
What You'll Bring
Site Reliability Engineering (SRE), running production systems on AWS that real users depend on.
Hands-on infrastructure-as-code experience (AWS Cloud Development Kit (CDK)). You treat infrastructure changes with the same care as code changes.
Experience building and maintaining CI/CD pipelines for containerized services. GitLab CI is a plus.
Working knowledge of Elastic Container Service (ECS), and familiarity with Virtual Private Clouds (VPCs).
Working knowledge of Python or TypeScript for scripting and automation.
Experience working with monitoring, logging, and alerting tools.
Comfort in a fast-moving environment where processes are still being built, including helping document runbooks.
Professional proficiency in French and English is required for this role. English is necessary to communicate and collaborate regularly with colleagues and leaders based in the United States who primarily work in English.
What Sets You Apart
Experience with zero-downtime deployments, including automated rollback.
Datadog or OpenTelemetry instrumentation experience.
Web Real-Time Communication (WebRTC)
PostgreSQL operations: migrations, backups, and performance tuning, ideally on AWS Aurora.
Who We Are
We’re a team of creators, storytellers, and innovators united under the Hasbro family and home to beloved brands, AAA digital games studios and immersive experiences that spark imagination across generations. Together, we’re committed to a culture rooted in creativity, excellence, curiosity, and inclusion, and where every employee is empowered to think boldly, act with integrity, and spark joy for all.
Hasbro
About the Company – Hasbro
Wizards of the Coast
Who We Are – Wizards of the Coast
Equal Opportunity
Hasbro is committed to equality of opportunity in all aspects of employment. We are committed to making all employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, or any other legally protected status.
Accommodations
If you have a disability and need reasonable accommodation during the hiring process, please inform your recruiter anytime throughout the process.
Notice Regarding Hasbro’s use of AI in the Recruitment Process
We use Greenhouse’s AI-powered Talent Matching tool to compare your application against our job requirements.
How it works: Talent Matching compares information from your resume and application responses with job-related criteria established and weighted by Hasbro’s recruiting and hiring teams. Depending on the role, these criteria may include relevant skills, work experience, prior job titles, and industry experience. The tool then assigns a match category to help organize applications for review.
Human oversight: Talent Matching supports — but does not replace — human review. It does not automatically advance or reject candidates or make employment decisions. Hasbro’s recruiters and hiring managers review applications and remain responsible for all hiring decisions.
Greenhouse has published the results of an independent bias audit of Talent Matching.
View the Greenhouse Talent Matching audit results
.
#StudiosWizards
Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
Health & Wellness
Time Off to Recharge
Financial Well-being
Life & Family Support
Volunteer and Community Initiatives
Learning & Development
Exclusive Perks
Please review our
Applicant Privacy Notice
to learn how we collect, use, and protect your personal information in connection with the application process.
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
We are seeking a Strategic Finance Lead to provide finance leadership for our network infrastructure. In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to optimize our networking investments and drive strategic decision-making.
In this role, you’ll develop deep expertise in the economics of networks, from the monthly cost of connectivity and colocation to the long-range planning of fiber and data center builds. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership.
This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.
Key responsibilities
Finance lead for network capex and opex, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
Build and maintain detailed bottoms-up data-driven financial models for network infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
Develop expertise in connectivity, colocation, and equipment contracts, pricing structures, and cost drivers, and surface optimization opportunities
Subject matter expert on Anthropic’s network buildout, source of truth and plan of record
Support the implementation and management of financial planning and procurement tools, ensuring our models and processes scale with the organization
Analyze the economics of build, lease, and service options for network capacity, including ROI across dimensions like term, route, and ownership, and distill into actionable framework for capacity planning and deployment
Partner closely with network engineering teams to understand how capacity, lead times, and site readiness scale, and translate those technical dynamics into financial frameworks
Minimum qualifications
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry
Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Proven track record of partnering with technical teams to drive financial optimization initiatives
Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Are passionate about the effective integration of AI tools to streamline manual finance workflows
Background in network, telecom, or large-scale computing infrastructure, including data centers, cloud service providers, etc
Preferred qualifications
7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with telecom, datacenter, or network infrastructure experience
3+ years of experience specifically in network infrastructure financial management
Experience working directly with major carriers, colocation providers, or hardware vendors
MBA or other advanced degree in finance, economics, or business
Expertise in connectivity, equipment, or lease economics, contract structures, and pricing models
Experience with capital project or long-lead equipment economics
Proficiency with financial modeling tools and languages (SQL, Python, Excel)
Experience building a computer, homelab, or home network from scratch
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:
$240,000
—
$325,000 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.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
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.
УдалённоBulgaria; Serbia; Poland; Czechia
ГибридParis; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY
ГибридNew York City, NY; Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite
УдалённоChicago, IL; Work Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite
УдалённоWork Location Expectation: Most roles for candidates in or near these metro areas (San Francisco, Salt Lake City, Chicago, or New York) are fully onsite
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