Location: Remote (USA)
Workplace: remote
Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world – one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs.
We’re a team of fiercely driven individuals committed to making healthcare more sustainable—and we’re looking for passionate people to help us get there.
For more information, visit arcadia.io.
Why This Role Is Important to Arcadia
Healthcare is entering a new era where AI can fundamentally transform how organizations understand populations, improve outcomes, reduce administrative burden, and deliver better experiences for patients and providers. Arcadia is uniquely positioned at the intersection of healthcare data, analytics, and workflow intelligence to bring these capabilities to market.
We are looking for a Principal Product Manager, AI Products to help define and deliver the next generation of AI-powered healthcare solutions. This leader will own critical product investments that leverage generative AI, advanced analytics, and intelligent automation to solve meaningful customer problems and create measurable business value.
Principal Product Managers at Arcadia are builders, operators, and end-to-end owners. They combine deep customer understanding, strong technical fluency, and relentless execution to bring innovative products from concept to customer adoption. They operate with significant autonomy, influence company strategy through product outcomes, and are accountable for delivering enterprise-grade capabilities that customers trust and depend on.
This role is ideal for product leaders who thrive in fast-moving environments, can translate emerging AI technologies into real-world customer value, and are energized by shipping products rather than managing process.
Success is measured by products delivered, customer outcomes achieved, business impact created, and the ability to establish yourself as a trusted expert with customers and cross-functional partners.
What Success Looks Like
In 3 months
Develop working expertise in Arcadia’s platform architecture, customer workflows, AI strategy, and data ecosystem
Identify and prioritize high-impact product opportunities within assigned domain ownership
Ship at least one meaningful customer-facing enhancement or production capability
Demonstrate the ability to independently navigate ambiguity and drive product decisions to execution
In 6 months
What You'll Be Doing
Own the end-to-end lifecycle of AI-powered product capabilities from concept through customer adoption and measurable business impact
Deliver enterprise-grade generative AI products and workflow automation capabilities into production environments at scale
Work directly with customers to understand operational challenges, validate product direction, and ensure solutions address real-world healthcare workflows
Translate advances in AI, LLMs, agentic systems, retrieval architectures, and analytics into practical customer solutions
Partner closely with Engineering, Data Science, Customer Success, and GTM teams to ensure products are successfully adopted and deliver measurable value
Drive roadmap decisions using customer needs, technical realities, business objectives, and market opportunities
Own product success metrics tied to customer adoption, revenue growth, operational efficiency, and business outcomes
Act as the accountable owner for shipping high-quality products on a predictable cadence
Mentor and elevate product management practices across the broader Product organization
What You'll Bring
Education
Bachelor’s degree required; advanced degree in business, computer science, engineering, healthcare, data science, AI/ML, or a related field preferred
Experience
12+ years in enterprise SaaS, platform products, AI-enabled products, data products, or similarly complex technical environments; bonus if experience includes healthcare environments
Experience building and scaling enterprise-grade AI, machine learning, or generative AI products
Experience delivering products powered by LLMs, agentic systems, retrieval-augmented generation (RAG), intelligent automation, predictive analytics, or similar AI technologies
Proven track record shipping products used by enterprise customers at scale
Experience defining and delivering products tied to measurable business outcomes and revenue impact
Experience owning products with measurable commercial outcomes, including adoption, retention, growth, or revenue objectives
Demonstrable understanding of how product decisions connect to business performance and customer value realization
Experience partnering closely with Engineering and GTM organizations to successfully bring products to market
Technical Fluency
Strong technical fluency across modern AI systems, including generative AI, LLMs, retrieval architectures (RAG), intelligent automation, model evaluation, and AI governance
Ability to engage deeply with engineering teams on architecture, implementation tradeoffs, and production deployment decisions
Qualities
Highly autonomous operator with strong ownership mentality and executive presence
Collaborative leader capable of influencing across Product, Engineering, Analytics, and Executive teams
Demonstrated ability to create clarity, structure, and momentum in ambiguous problem spaces
Practiced in building new products, processes, and operating models from the ground up
Strong ownership orientation with a bias toward action and execution
Skills
Exceptional product strategy, prioritization, communication, and execution leadership
Strong analytical and technical fluency, including ability to navigate complex platform and AI-enabled product discussions
Ability to translate customer, operational, and business needs into scalable product direction and measurable outcomes
What You'll Get
The opportunity to shape the future of AI-enabled healthcare products and platform innovation at scale
Significant influence over strategic product direction, organizational maturity, and next-generation customer experiences
The opportunity to solve some of healthcare’s most complex operational, clinical, and data challenges alongside exceptionally talented cross-functional teams
A highly visible role with meaningful executive partnership and organizational impact
The ability to help define how AI, automation, analytics, and workflow transformation reshape healthcare delivery and operations
Be a part of a mission driven company that is transforming the healthcare industry by changing the way patients receive care
A flexible, remote friendly company with personality and heart
Employee driven programs and initiatives for personal and professional development
Become a member of the talented, energized, diverse and purpose-driven Arcadian Community
About Arcadia
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. We do this by aggregating large amounts of disparate data, applying algorithms to identify opportunities to provide better patient care, and making those opportunities actionable by physicians at the point of care in near-real time. We are passionate about helping our customers drive meaningful outcomes. We are growing fast and have emerged as a market leader in the highly competitive population health management software market and have been recognized by industry analysts KLAS, IDC, Forrester, and Chilmark for our leadership. For a better sense of our brand and products, please explore our website.
Protect Yourself
If you have concerns about the authenticity of a job offer or recruitment-related communication claiming to be from Arcadia, we encourage you to verify by contacting us directly at (781) 202-3600 and select option 3. For more information, visit our website.
This position is responsible for following all Security policies and procedures in order to protect all PHI under Arcadia's custodianship as well as Arcadia Intellectual Properties. For any security-specific roles, the responsibilities would be further defined by the hiring manager.
Location: North America
Workplace: Remote
At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires.
Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship.
As a small team, we're all generalists that work across the full stack (built in TypeScript end-to-end). We’re looking for engineers that thrive in an environment of autonomy and individual responsibility to help us build the future of product development.
Location & work mode
Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in North America. You can work from anywhere within this region. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel.
What you'll do
- Work closely with founders, product, and design to implement new concepts and ideas
- Build AI-powered functionality into the core of Linear
- Update our collaborative content editor used across all internal surfaces
- Build new user-facing features with beautiful and scalable UI components
- Obsessively improve application performance
- Refine our software development processes to keep the team operating at high velocity
What we're looking for
- 2-5 years of experience building customer-facing products at a software company with a high engineering bar
- Strong React and TypeScript fundamentals, with experience across the full stack (Browser technologies, Node, GraphQL, PostgreSQL)
- Track record of driving complex, end-to-end features (not just incremental improvements and refactors) with visible impact on the product
- Product sensibility: you care about UX, speed, and polish, and you push back when something doesn't feel right
- Comfortable working without heavy PM overhead; you can help to shape the problem, not just implement a solution
- High ownership mentality: self-directed, full-lifecycle builder who takes a feature from idea to shipped
- Thrives in a remote, async-first environment with a lean, high-output team
- Experience at a startup or a company with a genuinely high engineering bar
Our tech
This stack reflects the systems we build and operate. You’re not expected to have experience with everything listed, but you should be excited to work close to product, performance, and real-world scale.
- Agentic workflow system utilizing temporal, operating at production scale
- Proprietary websocket data sync engine https://www.youtube.com/watch?v=bnOpm3a1fRE built for speed and offline support
- React, MobX, StyleX on the frontend
- Extensive, highly-trafficked GraphQL API and SDK
- Node, PostgreSQL, Temporal, and Redis on the backend
- Hosted on Google Cloud with k8s
- GitHub, Slack, Notion
What we offer
We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect:
- Competitive salary and equity
- Employee-friendly equity terms including early exercise in the US and extended exercise windows
- Daily meal and coffee stipend on every workday
- Paid co-working space or desk
- Health coverage (based on country requirements)
- 5 weeks paid vacation, plus local statutory holidays
- 4 months paid parental leave
- Paid month off after 4 years & every 2 years thereafter
- Regular team events and off-sites
- Remote-first with no required commute
Learn how we think and work
- Read Me https://linear.app/readme a story about our mission
- How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear
- Why and how we do work trials https://linear.app/blog/why-and-how-we-do-work-trials-at-linear Linear blog post
- How we use AI in design https://designerfund.substack.com/p/ai-design-linear feature of Linear's design team
- Scaling our real-time sync engine https://linear.app/blog/scaling-the-linear-sync-engine talk by our cofounder, Tuomas Artman, at Linear's 2023 offsite
- A video series: Conversations on Quality https://linear.app/quality
- Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear
Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.
Location: Istanbul; Warsaw; Helsinki; Stockholm; Lisboa; Berlin; London; Barcelona
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
This role is full remote within CET ±3h.
TEAM
Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games.
Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games, while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the largest and most successful hybrid publisher in the world.
Voodoo is creating a small experimentation team with a big mission: find the next best way to entertain the world by taking our best hits (Flappy Dunk https://play.google.com/store/apps/details?id=com.acidcousins.fdunk&hl=en or Crazy Kick https://play.google.com/store/apps/details?id=com.orbitalknight.ridiculousfreekick&hl=en ) to a new level.
You will be one of the first members in a team of six and you will participate in every aspect of development, from ideation to testing the casual games in the market.
ROLE
- Build your team and ensure that your team reaches their goals
- Lead, inspire and motivate the teams working on the games, and maintain enthusiasm for the project
- Improve continuously the internal process of game creation
- Push updates with gameplay, meta-features and monetisation AB tests at a high pace
- Follow and improve Voodoo’s management guidelines and onboarding processes
- Manage your team’s HR in order to keep only A players and help them to grow
- Share your knowledge company-wide and help others grow their skills
- Monitor and improve game metrics
- Be involved in all aspects of game development: UI, UX, game design, technical
PROFILE
- Strong analytical skills and are detail and data-oriented
- Passion for mobile games
- Excellent communication, organization, execution skills
- Good game UX knowledge,
- Mobile F2P market experiences, track record with a successful mobile game
- Speak and write English
- Understanding of game design
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work
BENEFITS
- Best in Class compensation
- Other benefits according to the country you reside.
Location: Istanbul; Warsaw; Helsinki; Stockholm; Lisboa; Berlin; London; Barcelona
ABOUT VOODOO
Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way.
This role is full remote within CET ±3h.
TEAM
Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games.
Joining our Live games team means collaborating with gaming industry experts on globally renowned, enduring games, while embracing exciting new entrepreneurial ventures. With over seven billion downloads worldwide and a portfolio of more than 10 resilient hybrid games generating more than $20m per year, we are the largest and most successful hybrid publisher in the world.
Voodoo is creating a small experimentation team with a big mission: find the next best way to entertain the world by taking one of our best hits, https://play.google.com/store/apps/details?hl=en&id=com.BallGames.Woodturning Flappy Dunk, https://play.google.com/store/apps/details?id=com.acidcousins.fdunk&hl=en to a new level.
ROLE
As a Game Lead, you will be the owner of your game and team. Your mission will be to define the right direction, build the team, and drive execution with speed, focus and ambition.
During the first 6 months, your main focus will be on improving the core gameplay: making the game more satisfying, juicy, exciting and fun to play, before scaling the rest of the product.
You will:
- Build and lead your own small team, starting with around 4 people
- Set clear goals and make sure the team reaches them
- Lead, inspire and motivate the people working on the game
- Focus first on improving core gameplay, game feel, pacing and player satisfaction
- Identify what makes the game fun today and what could make it much stronger tomorrow
- Monitor and improve key game metrics such as retention, playtime, engagement and monetization
- Be involved and hands-on across all aspects of game development: game design, level design, UI/UX, tech, art and product decisions
- Continuously improve the internal process of game creation and iteration
- Manage your team’s performance and growth, keeping a high talent bar and helping strong people develop
PROFILE
- 4 to 5+ years of experience in the gaming industry (Development, Product, Design, Art etc.)
- Mobile F2P market experiences (in Design ideally), track record with a successful mobile game
- A passion for mobile games and a strong understanding of core gameplay, game feel, player experience and iteration
- A proactive, ownership-driven mindset
- Strong leadership potential or previous team leadership experience
- A data-driven approach to decision-making
- The ability to move fast, test ideas, learn from results and iterate quickly
- Strong English communication skills and the ability to align different crafts around a clear direction
- AI-first mindset: Comfortable using AI daily and building custom agents or reusable automations to speed up your work
BENEFITS
- Best in Class compensation
- Other benefits according to the country you reside.
Location: Singapore
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.
- Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations.
- Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, address objections, and close deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders.
- Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers' needs. Collaborate with our marketing team to implement effective sales campaigns and presentations.
- Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.
- Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product.
WHAT YOU'LL BRING
- 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts.
- Enterprise experience: Experience managing a $1M+ quota and running end-to-end complex deals.
- Strong communication skills: Exceptional verbal and written communication abilities.
- Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions.
- Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling.
EVEN BETTER...
- Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends.
- Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early-stage growth.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Hybrid - San Francisco, New York City, Austin
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
You'll own paid acquisition at Vercel across Google, Meta, LinkedIn, YouTube, and emerging channels, with one goal driving the work: scalable, profitable customer acquisition for our self-serve and enterprise motions.
This role is built for an analytical, AI-native growth marketer who cares about results, testing velocity, and scale. We want someone who has already wired AI into how they work, building agents, automations, and workflows that let them operate like a much larger team. You'll bring operational rigor to how we launch and scale campaigns, own the systems that make us faster, and turn our acquisition engine into a compounding growth loop. The work sits between strategy and execution, in close partnership with Product Marketing, Lifecycle, Creative, Data, and Marketing Operations, so the right message reaches the right developer or buyer in the right channel.
What you'll do
Paid acquisition end to end across Google Search and YouTube, Meta, LinkedIn, and emerging channels, driving signups, activations, and pipeline
Multi-million-dollar annual paid media spend, where you beat ROAS and CAC targets and lower CAC over time
AI-driven operating leverage, building agents, automations, and AI-assisted workflows that compress campaign turnaround and scale creative production
Creative and audience testing, where you systematically find (and sometimes design) winning creative and audience segments, using AI to generate and iterate variants at high velocity
Measurement and attribution, building funnel reports and cohort analyses with Analytics, and owning event-based tracking, pixels, and conversion APIs so the data stays clean
Performance reporting, where you surface actionable insights and clear recommendations to leadership on a regular cadence
Cross-functional alignment with Product Marketing, Demand Generation, Lifecycle, Creative, and Marketing Operations on targeting, messaging, and down-funnel conversion
What you need
5+ years running and scaling paid performance campaigns at high-growth B2B SaaS, developer tools, or consumer tech companies
Demonstrated AI-native habits, where you reach for AI by default and have built agents, automations, or workflows that changed how you operate (if you've automated parts of your own job, that's a strong signal)
Hands-on expertise with Meta Ads, Google Search and YouTube, and LinkedIn Ads, with TikTok Ads or programmatic as a bonus
A track record managing $1M to $5M+ in annual paid media budgets and beating ROAS and CAC goals
Fluency in data and analytics, storytelling with campaign data, and testing and evaluating audience performance
Strong copywriting instincts and taste in performance creative, and ability to scale taste with AI
Clear written and verbal communication that lands with both technical developers and enterprise buyers
A bias for action - you can just ship things.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $150,000 - $188,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Remote - Colombia ; Remote - Costa Rica ; Remote - Mexico
Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we’re helping customers break free from the restrictive, overpriced legacy solutions that hold them back, and blaze forward with the full power of the open cloud in their hands.
Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals.
But while there is a lot to celebrate in our past, there is almost as much opportunity ahead of us. We are seeking a
Sr. AI Security Engineer
to join our team!
About The Role
Backblaze is seeking a
Senior AI Security Engineer
to design and implement safeguards for
internal AI usage
, with a focus on
agentic systems, developer protection, and runtime security
.
This is a hands-on role for a practitioner who has
built and deployed security controls
, not just defined policy. You will enable teams to safely use AI by creating
enforcement layers, identity controls, and detection capabilities
that constrain and monitor AI-driven activity.
What You’ll Do:
Agentic AI Safeguards
Architect and implement
guardrails for tool-using AI systems
, including:
Tool access controls and allowlists
Context and memory isolation
Step-level validation of agent actions
Apply mitigations aligned to the
OWASP Agentic AI Top 10
(e.g., prompt injection, unsafe tool use, data leakage, excessive autonomy)
Runtime Security Controls
Build
enforcement mechanisms
that govern AI behavior at execution time:
Interceptors, proxies, or middleware for tool/API calls
Policy decision and enforcement layers
Rate limits, execution bounds, and kill-switches
Prevent unsafe or unauthorized actions initiated by AI systems
Non-Human Identity (NHI)
Design and implement
identity and access controls for agents and automation
, including:
Short-lived credentials and scoped permissions
Clear separation between human and non-human access
Strong binding of identity to task context and execution
Ensure all AI actions are
attributable and auditable
Observability & Detection
Implement
logging and tracing for AI activity
:
Prompts, tool usage, and decision flows
Build detection capabilities using:
Behavioral baselining and anomaly detection techniques
Identify and alert on:
Abnormal tool usage
Suspicious prompt patterns
Unexpected data access
Threat Modeling (MAESTRO)
Perform
agentic system threat modeling using MAESTRO
, including:
Mapping agent capabilities, trust boundaries, and attack paths
Modeling misuse and adversarial scenarios
Translate findings into
practical safeguards and detection logic
Developer Safeguards
Protect developers using AI tools by:
Preventing sensitive data exposure
Validating AI-generated code and actions
Constraining unsafe automation
Enable safe usage of AI-assisted development tools (e.g.,
Claude Code, Codex, Cursor
) with:
Security validation layers
Controlled prompting and output handling patterns
The Right Fit:
7+ years in
security engineering or backend systems
Proven experience
designing and deploying security controls
, such as:
Runtime enforcement layers (proxies, middleware, policy engines)
Identity and access systems, especially for non-human entities
Strong programming skills (Python preferred; Go, Java, or TypeScript a plus)
Experience using
AI-assisted development tools such as Claude Code
in real workflows, including understanding associated security risks and safeguards
Experience with:
Logging, monitoring, and detection systems
Building or securing API/service interactions
Practical familiarity with:
Agentic AI systems or tool-integrated LLM workflows
OWASP guidance for AI/agent risks
Practitioner Knowledge
Experience applying (not just referencing):
OWASP Agentic AI / LLM risk guidance
NIST AI RMF
concepts in real systems
CSA guidance
on workload and machine identity
Strong understanding of:
Zero Trust for non-human identities
Secrets management and credential scoping
Observability tooling (e.g., OpenTelemetry, ELK)
Bonus Points For:
Experience securing
internal AI platforms or developer-facing AI tools
Background in
detection engineering, threat hunting, or adversarial testing
Familiarity with agent frameworks (e.g., LangChain, LlamaIndex)
Experience mentoring engineers and guiding secure design
At this point, we hope you're feeling excited about the job description you're reading. Even if you don't meet every requirement, we still encourage you to apply. Learning, developing, and growing are key parts of our culture. We're eager to meet people who believe in our mission and can contribute to our team in various ways. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.
At Backblaze, we value being fair and good to our customers, partners, and employees. That’s why diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We believe that our dedication to cultivating a diverse workspace not only allows us to better serve our customers in over 175 countries, but further reinforces our commitment to doing the right thing.
We are proud to be an Equal Opportunity Employer.
To understand more about the data we collect and process as part of your application, please view our
Backblaze Employee Privacy Notice.
#LATAM
Location: New York, NY (HQ)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
ABOUT THE ROLE
Design at Ramp looks very different than it did a year ago: we’re building tools and agents, designing memory, shipping PRs, and rethinking the process every few months as new capabilities unlock. A few things have not changed, the role of design is to distill problems to their essence, obsess over craft and delight where it matters most, know customers deeply and advocate for them, lead with creativity and storytelling, and keep it fun, because a product built with joy always wins.
We're looking for a Director of Product Design to lead a team of builders across some of our highest-priority bets. This role is for you if you’re excited by:
- Leading through craft, setting vision and unlocking customer impact: you will define where a product should go, then jump into the details with the team to unblock, teach, and ship. You raise the bar through product judgment, design craft, and your ability to make everyone around you better.
- Actually shipping and demonstrating real impact: You'll start by owning a product area and team to build trust and get your bearings at Ramp, with room to take on broader leadership over time. You'll stay close to customers and ship meaningful work alongside your designers, product managers and engineers.
- Building the environment where great work comes from: clear roles, high standards, low ego, and just enough structure to keep the bar high without slowing people down. That means building a caring yet demanding structure, investing deeply in people — coaching, feedback, growth — so designers can do the best work of their careers and develop in this new age of Design.
It’s never been a more interesting time to build.
Please note that this role will require you to be comfortable with working in-person at our NYC HQ (located near Madison Square Park) at least 3 days/week.
WHAT YOU’LL DO
- Lead and grow a high-performing team of product designers
- Own product vision and design direction across critical product areas
- Partner with product and engineering to shape strategy and deliver customer impact
- Stay close to customers and use their feedback to guide product decisions
- Jump into the work when needed to unblock teams and accelerate progress
- Create clarity, raise quality, and help teams ship faster
- Raise the bar for product thinking, interaction design, systems thinking, and craft
- Coach designers through clear feedback, high standards, and strong mentorship
- Help define how design works in an AI-native world
- Build strong partnerships across product, engineering, data, and design
WHAT YOU NEED
- Experience leading and developing high-performing product design teams
- Strong product judgment, design craft, and systems thinking
- Track record of shipping products with meaningful customer and business impact
- Deep customer empathy and comfort operating in ambiguity
- Ability to influence across functions and develop exceptional talent
- Curiosity that borders obsession over how AI changes the nature software and how we work
NICE TO HAVES
- Founder or early-stage startup experience
- Experience designing AI-native, automation, or agentic systems
- Experience building workflow or operations tooling
- Experience leading managers or multi-layered teams
- Comfort working closely with technical teams on implementation details
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT US:
Notion helps you build beautiful tools for your life’s work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
ABOUT THE ROLE:
Millions of people rely on Notion to do their most important work. Protecting that trust starts with protecting the people who build Notion: our employees, their laptops, their identities, and the SaaS apps they rely on every day.
We are looking for a hands-on Corporate Security Engineer to own and improve the technical controls that keep our workforce and corporate environment safe. This is a security engineering role focused on building scalable controls and automation across identity, endpoints, SaaS, and workforce infrastructure, not a traditional IT support or corporate engineering role.
You'll own and evolve core security controls, design systems and automation that scale with the company, and help make security both stronger and easier to use. You'll partner closely with IT, Infrastructure, GRC, and Detection & Response to improve the security foundations that employees rely on every day.
WHAT YOU'LL ACHIEVE:
- Harden our identity and access management stack, including Okta and Google Workspace, with phishing-resistant MFA, strong SSO and SCIM lifecycles, and least-privilege access across SaaS.
- Run our endpoint security program across a macOS-first fleet, including MDM, EDR, and configuration baselines, with working coverage for Windows and ChromeOS.
- Secure AI tool usage at the endpoint, including governance of large language models, AI agents, and model context protocol (MCP) integrations; detect and prevent unauthorized or risky AI service access and data exfiltration through AI-enabled tools.
- Reduce SaaS risk at scale through SSPM tooling and custom automation, including detection of risky OAuth grants, excessive permissions, shadow IT, and configuration drift.
- Write code (Python, Terraform) to automate access reviews, onboarding and offboarding, configuration drift detection, and audit evidence collection.
- Partner with Detection & Response to ensure corporate systems produce the telemetry needed to detect identity, endpoint, and SaaS abuse.
- Support SOC 2, ISO 27001, and customer audits as a byproduct of good engineering, not a separate workstream.
- Partner with Detection & Response on investigation and response for corporate security incidents, including phishing, account compromise, lost devices, and BEC.
SKILLS YOU NEED TO BRING:
- Have 5+ years of hands-on experience in corporate security, enterprise security, or IT security engineering at a cloud-native company.
- Have working knowledge of a major identity provider (Okta, Entra, or Google Workspace) and the underlying protocols (SAML, OIDC, OAuth 2.0, SCIM).
- Have hands-on experience operating endpoint management and detection tooling across macOS and enterprise environments.
- Write production-quality scripts and automation in Python or Bash, and have shipped Terraform or other infrastructure-as-code for security configuration.
- Are familiar with SaaS security risks (OAuth governance, audit logging, SSPM) and the realities of integrating a long tail of vendors.
- Have working knowledge of at least one major cloud platform (AWS, GCP, or Azure) at the security configuration level.
- Communicate clearly in writing and work effectively across IT, Engineering, Legal, People, and GRC.
NICE TO HAVES:
- Experience at a fast-growing tech or AI company where the security program had to outpace headcount.
- A background in IT engineering, SRE, or production engineering that transitioned into security engineering.
- Experience building internal security tooling or workflows that improved employee or developer experience.
- Contributions to the security community through open-source tools, blog posts, or conference talks.
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $200,000 - $220,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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
We're seeking an experienced software engineer to build the platform behind governance, risk, and compliance (GRC) at Anthropic. Compliance information lives across dozens of systems, from cloud infrastructure and identity providers to HR platforms and code repositories. You'll build the pipelines, integrations, and services that bring that data together and turn it into automated checks, real-time dashboards, and evidence for real time decision making, compliance obligations, and to support expanding the markets we can serve.
You will be an early member of the team, collaborating with stakeholders across Security, IT, Engineering, Privacy Engineering, Legal, Finance, and more to turn manual compliance processes into scalable, reliable systems. You will lead your own projects end to end, and you will put Claude to work as an extension of the team through agentic workflows for evidence collection, analysis, and continuous monitoring. If you've built internal platforms, data pipelines, or privacy systems, you'll feel right at home, and you don't need a compliance background to get started.
Key responsibilities
Design and build data pipelines that aggregate risk, control, and asset information from across Anthropic's technology stack, solving hard integration problems like disparate schemas, inconsistent data quality, and unified views of posture
Build and maintain integrations connecting our platform to cloud infrastructure, identity management, HRIS, ticketing, version control, and CI/CD systems to enable automated evidence collection and continuous validation
Translate written policies and regulatory requirements into policy-as-code, turning static documents and spreadsheets into enforceable rules, automated checks, and continuous monitoring
Design and deploy agentic workflows where Claude handles work that previously required manual effort, such as analyzing evidence, generating audit responses, and monitoring control effectiveness
Develop dashboards and reporting that provide real-time visibility into risk and compliance posture for audiences ranging from engineers to executives and external auditors
Make architectural decisions that shape how the platform grows, establishing patterns and tooling that other engineers will build on
Partner with Security, IT, Infrastructure, and product engineering teams to make controls and evidence collection native to how Anthropic builds and ships
Operate what you build, owning reliability and data integrity for systems that audits and executive reporting depend on
Minimum qualifications
Have 8+ years of experience building backend systems, data pipelines, or internal platforms that other teams depend on, ideally operating at tech lead level
Are a systems thinker who understands how data flows between systems, where the integration points are, and what breaks when systems don't talk to each other
Have depth in either integration engineering (REST APIs, webhooks, authentication flows, event-driven architectures) or data infrastructure (warehousing, ELT/ETL, orchestration), and fluency in the other
Are proficient in Python, Go, or similar languages, and have production experience with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code
Hold a high bar for data quality and reliability, and enjoy turning ambiguous, manual processes into simple, reliable automated systems
Take full ownership of your work, from design through deployment and operations, and can navigate ambiguity and make sound technical decisions independently
Take a product-focused approach to platform work and care about building tools internal customers love to use
Are excited to build with LLMs as system components, designing agentic workflows, evaluating their outputs, and making them reliable enough for high-stakes use
Preferred qualifications
Experience in domains where engineering meets regulation, such as privacy engineering, data governance, fintech, healthcare, or trust and safety
Experience designing and shipping LLM-based or agentic automation in production or operational contexts
Familiarity with compliance frameworks (SOC 2, ISO 27001, HIPAA, FedRAMP) or GRC platforms (ServiceNow, Vanta, Drata, OneTrust); this is helpful but not required
Prior experience at high-growth startups, building processes and systems that scale
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
The Security Risk team is responsible for how Anthropic identifies, prioritizes, and drives treatment of its most important security risks. We are rebuilding risk management to operate as an engineering function through automation and AI-native platforms to enable decision making. The systems we assess span Anthropic’s full security landscape, from authorization primitives to cryptographic foundations, so the team needs breadth across domains and the ability to go deep in any of them. Security Risk, in deep partnership with Security Engineering, will help define the security program to shape how both engineers and non-engineers build and ship software.
The conventional GRC playbook was not built for a company shipping frontier AI. You will help define what replaces it, with a direct line to CISO-level decisions and the mandate to build the AI-native platform underneath. You’ll work across a breadth of areas from identity and secrets management to infrastructure security, with your focus shaped by your strengths, ability to learn quickly, and the team’s priorities. This is largely greenfield work, and you will help define the architecture and discipline.
Key responsibilities
Take ownership of Anthropic’s most complex security risk problems and drive them end to end with minimal oversight, turning ambiguous signals into a defensible view of severity and likelihood and seeing them through escalation, treatment decisions, and remediation
Build the systems that make risk measurable and let risk work scale, including quantification tooling, automated intake and triage, and the observability that partner teams use to understand their own risk posture
Work alongside Security Engineering as a calibrated technical peer who pressure tests architectures and treatment plans, translates findings into prioritized remediation roadmaps, and makes the investment case for what to fix now, what to accept and track, and what to defer
Mentor engineers and risk practitioners across Security and the broader engineering organization, and help build a risk engineering culture in which teams own their risks and our team provides the visibility and judgment that supports the
Security risk engineering
Work across the breadth of Anthropic’s security landscape, spanning areas like identity and secrets management, developer security and supply chain, infrastructure security, and secure frameworks, and build the context needed to reason about risk credibly in each
Go deep where a risk demands it, understanding how these systems are built and how they fail so that assessments and treatment plans reflect engineering reality rather than abstraction
Risk assessment and quantification
Identify systematic risks through threat modeling and structured assessment, then drive the severity calibration and escalation conversations that follow, bringing leadership a defensible position and a clear recommendation that holds up under pointed questions
Contribute to the team’s quantitative risk work, applying methods such as calibrated estimation and Monte Carlo simulation where they meaningfully change a resource or treatment decision
Risk platform and automation
Design and build AI-native risk tooling that uses Claude to classify incoming risks, augment triage, and continuously sense changes in our risk landscape as teams ship
Create the dashboards and data pipelines that give engineering and product teams real-time visibility into their risk posture and make distributed ownership of risk practical
Remediation strategy and investment
Partner with Security Engineering and risk owners to design remediation roadmaps that are explicit about sequencing, ownership, and the investment required
Measure outcomes rather than activity, focusing on decisions made and risk reduced
Minimum qualifications
At least 8 years of software engineering or security engineering experience, including leading and remediating complex security risks independently
Bachelor’s degree in a related field or equivalent experience
Strong programming skills in Python or at least one systems language such as Go, Rust, or C/C++
Broad knowledge across the core security engineering domains, with depth in at least one, including identity and secrets management, developer security and supply chain, infrastructure and cloud security, and secure frameworks
Calibrated risk judgment, meaning you can put a defensible severity and likelihood on an ambiguous problem and change your position when the evidence changes
Experience leading cross-functional security initiatives and navigating complex organizational dynamics
Outstanding communication skills, translating technical concepts effectively across all levels of the organization
A track record of bringing clarity and ownership to ambiguous technical problems and driving them to resolution
Low ego and high empathy, with a history of growing the engineers around you and supporting diverse, inclusive teams
Passion for AI safety and the role security and risk management play in building trustworthy AI systems
Preferred qualifications
Owned a named security risk and driven it from discovery through remediation across multiple teams
Briefed executives on risk decisions and defended accept, remediate, or transfer recommendations under challenge
Built security automation, detection, or risk platforms adopted across an engineering organization
Shipped LLM or agent-powered tooling and workflows that automate security or risk activities
A security engineering, detection engineering, or offensive security background with a risk-based prioritization mindset
Built or operated a quantified security risk program (FAIR-style decomposition, Monte Carlo simulation, loss exceedance analysis) whose outputs changed real resource decisions
Enough familiarity with SOC 2, ISO 27001, or FedRAMP to know what compliance does and does not buy you
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Canada; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
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THE ROLE
Docker is shipping a wave of new products this year, with R&D initiatives likely to lead to more, and we're investing heavily in the platform underneath all of it. That platform supports hundreds of engineers across many development teams and carries high-scale production traffic and data transfer every day. It has grown faster than its foundations, and this year is about closing that gap.
Today, much of that work still leans on a handful of experts unblocking the same provisioning and operational workflows by hand. The top priority for this role is moving that work from expert-driven support to paved roads: self-service systems with clear ownership, safe defaults, strong guardrails, and adoption we can measure. The goal is a platform teams trust enough to stop thinking about it, one that just works, so they can focus on their own products instead of ours.
The concrete version sits on this year's roadmap: spinning up a new global region or application environment should take hours, not days. Right now it takes days. Getting there means building the foundations underneath it. We need a real multi-region, cross-account network architecture and a testing and continuous-deployment flow teams can trust, then a self-service layer on top.
We're the container company building our own internal platform, so the bar for "the easy path is also the safe path" is high. You'd be joining a team of four, growing to seven this year (this is one of those hires), and we're looking for a Staff engineer to set technical direction and lead it through real production adoption.
_______________________________________________________________________
RESPONSIBILITIES
This is a Staff-level role, so success is measured by leverage rather than just your own commits. On a team this size you'll stay hands-on in the codebase while also setting direction, aligning teams on pragmatic standards, and carrying platform investments through to adoption. Concretely, you will:
- Take ambiguous infrastructure problems and turn them into proposals the org can rally around, then drive them through RFCs and architecture reviews across teams.
- Design self-service capabilities and platform APIs (primarily in Go) for onboarding, provisioning, deployment, observability defaults, and day-2 operations, with contracts and docs teams actually use.
- Set delivery standards using Terraform, GitOps with Argo CD, progressive rollout, and good testing, including building the continuous-deployment flow we're missing today.
- Evolve the multi-tenant EKS foundations toward better reliability, security, scale, and cost: Envoy Gateway ingress, traffic routing, and the multi-region, cross-account connectivity we need.
- Improve SLOs, alerting, and incident follow-up on Grafana Cloud so production gets safer and less dependent on heroics.
We judge this work by outcomes the consuming teams feel: how fast they can provision and ship, how much they can do without us, and how reliably it all runs.
AI-ASSISTED OPERATIONS
We're actively investing in AI-assisted and agentic workflows to cut operational toil. We care that they stay safe, auditable, and human-reviewed. You'll help shape where these earn their place and where they don't. Early targets include:
- Alert enrichment and incident context-gathering: assembling the relevant signals, history, and runbook so the on-call engineer starts with context instead of a blank page.
- Runbook-assisted diagnosis and remediation recommendations, with a human in the loop on anything that changes production.
- Onboarding and readiness assistants that answer the questions our experts answer today.
If you've built operational automation and have a healthy skepticism about where automation belongs, this is a place to put both to work.
ON-CALL
Operational ownership is part of the job. You'll join the rotation after onboarding and shadowing. As a Staff engineer, you'll also improve the health of on-call itself, with better alerts, stronger runbooks, less toil, and blameless postmortems aimed at prevention.
_______________________________________________________________________
QUALIFICATIONS
- 8+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineering.
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong software engineering in Go or a similar language: design, testing, debugging, review, long-term maintainability.
- A track record designing, shipping, and operating cloud services or infrastructure platforms in production. We hire for skill and impact, not years.
- Deep expertise in at least one of: Kubernetes, networking, cloud platforms, reliability engineering, or developer platforms, plus solid Linux, networking, and production-ops fundamentals.
- Experience setting technical direction and leading work that needs cross-team alignment.
- Clear written and verbal communication in a remote environment (RFCs, design docs, incident writeups).
Nice to have: EKS and ingress/CNI/service-mesh experience; observability with OpenTelemetry/Prometheus/Grafana; CI/CD and progressive delivery (GitHub Actions, Argo CD, canaries); experience leading migrations or adoption programs across teams.
You don't need every item here. We value deep expertise in one area, strong systems judgment, and curiosity across the rest.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context, meet partner teams, ship your first change, shadow on-call.
FIRST 90 DAYS
- Own a strategic platform problem with a clear plan and metrics; lead an improvement from design to production.
ONE YEAR OUTLOOK
- Lead a major cross-team initiative (for example, self-service provisioning of new regions and environments, or the multi-region networking and CD foundations behind it) and establish durable patterns that change how Docker engineers build and operate services.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Canada: CA$238,250 – CA$382,250 base
United States: $170,350 – $275,550 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Sydney
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Ability to leverage AI tools efficiently as a regular part of your technical sales motion — discovery prep, solution design, demo and prototype building, technical proposals. With that, you know where these tools can help and where human judgment still is required. Importantly, you own the accuracy of anything you put in front of a customer, whether or not AI helped you build it. This ownership looks like us not saying "[AI tool of choice] built this", but "I built this with [AI tool of choice]."
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience translating code, technical logic and user requirements to product and engineering requirements.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Serbia; Georgia; United Arab Emirates; Portugal; Kazakhstan
Emerging Travel Group
is a global travel-tech company whose brands have been operating in over 220 source markets since 2010. We specialize in developing advanced online booking platforms for all types of clients — from individual tourists to travel agents and companies organizing business trips. Our solutions empower hoteliers to effortlessly showcase their accommodations, boosting visibility and attracting a broader audience.
Our mission is to create, distribute, and operate the most convenient travel products. We constantly innovate and break the rules of the highly complex travel industry to make travel more widely available for individuals, more rewarding for professionals, and simpler for everyone.
We are looking for a
Strategic Revenue Manager
to become a key connector between commercial, finance, and operational teams. Your mission: analyze revenue and profitability performance, identify gaps, initiate and drive corrective actions, and ensure that revenue growth translates into sustainable margin improvement.
This is not an administrative or supporting role – your impact will be measured by real business improvements in profitability, operational discipline and execution.
This is a remote position.
Job Responsibilities
Revenue Performance Management
Own the Plan-Fact review cycle across regions and commercial teams.
Identify revenue, margin, and profitability deviations and drive root-cause diagnostics.
Engage directly with Cluster Managers and Regional Directors to understand the business context behind performance deviations - not just the numbers.
Build corrective action plans collaboratively with commercial stakeholders, balancing quantitative analysis with operational realities and market-specific insights.
Facilitate cross-functional discussions to align stakeholders around priorities, solutions, and execution plans.
Drive execution follow-through and maintain accountability across teams until measurable business outcomes are achieved.
Escalate blockers and maintain decision-making momentum.
Cost of Sales and Profitability Optimization
Monitor Cost of Sales drivers and profitability performance across regions and partners.
Build visibility frameworks and actionable profitability reporting.
Lead cross-functional initiatives focused on margin improvement and operational efficiency.
Support optimization of partner economics, payment conditions, and commercial profitability.
Governance and Strategic Support
Establish scalable governance processes for revenue and margin management.
Support budgeting, forecasting, marketing investment cases, and strategic commercial initiatives.
Partner closely with Revenue leadership, FP&A, Marketing, Analytics, and Commercial teams.
Requirements
Fluent English.
3–6+ years of experience in roles combining commercial exposure, analytical rigor, and operational ownership.
Experience working directly with senior commercial stakeholders and influencing business decisions without formal authority.
Background in Revenue Operations, Commercial Finance, FP&A, Business Performance, Strategy & Operations, or Consulting with P&L exposure.
Strong understanding of profitability and performance metrics, including Gross Margin, Contribution Margin, CoS, CAC, LTV, and P&L logic.
Proven ability to build governance processes and operational frameworks in complex cross-functional environments.
Advanced Excel skills and comfort working with BI tools and data teams.
Benefits
Fully remote work within European time zones; flexible working schedule.
Direct exposure to senior commercial leadership and strategic business decisions.
A role with real business impact - not a support function.
High ownership and visibility across the organization.
Ambitious and supportive team who love what they do, appreciate each other, and grow together.
Internal programs for adaptation and training, development of soft skills, and leadership abilities.
Partial compensation for participating in external training and conferences.
Corporate prices on hotels and travel services.
MyTime Day Off - an extra non-working day without loss of compensation.
Learn more about our data protection practices in our Privacy Policy:
https://emergingtravel.notion.site/recruitment-privacy-notice
Задачи:
— участвовать в проектировании RAG-архитектуры под B2B-кейсы: помогать выбирать источники данных, настраивать ingestion, chunking, базовые стратегии retrieval (dense/hybrid) под руководством более опытных коллег;
— настраивать LLM/агентов под предметную область: реализовывать промпты, подключать инструменты (tool calling), работать с контекстом и базовой памятью;
— реализовывать POC/POV на данных клиента, проводить итерационные улучшения на основе метрик и обратной связи;
— строить Data Ingestion пайплайны с OCR;
— реализовывать evaluation-пайплайны: генерация тестовых наборов, запуск auto-eval, участие в human-eval;
— считать и анализировать ключевые метрики (accuracy, coverage, latency, user success rate), готовить отчеты для команды;
— участвовать в настройке мониторинга: логирование, базовые алерты, анализ неуспешных кейсов и их фиксы;
— участвовать в интеграции с инфраструктурой (Kubernetes, облако), работать с метриками и логами;
— участвовать в нагрузочном тестировании для оценки скорости инференса и необходимых ресурсов.
Требования:
— опыт работы с Python (pandas, PyTorch/TF, API LLM);
— опыт работы в ML/DS/NLP от двух лет;
— опыт работы с LLM/RAG;
— понимание полного цикла ML-разработки;
— практический опыт работы с RAG: настройка retrieval, работа с embedding-моделями, векторными БД (FAISS, Qdrant, Pinecone и др.);
— понимание базовых техник улучшения качества (reranking, filtering, prompt tuning);
— опыт работы с агентными фреймворками (LangChain / LangGraph / LlamaIndex / ADK и др.);
— базовое понимание agentic-подходов и tool calling;
— опыт prompt engineering и настройки LLM под задачи;
— базовый опыт fine-tuning (или понимание подходов: LoRA, QLora, instruction tuning);
— понимание оптимизации инференса (на уровне использования инструментов: vLLM, quantization и др.);
— опыт работы с популярными ML фреймворками: tranformers, vllm, sglang, pytorch;
— SQL, базовое понимание работы с данными и пайплайнами;
— опыт деплоя сервисов (Docker, FastAPI), базовое понимание Kubernetes/облака;
— навыки логирования, мониторинга и базовых A/B-экспериментов;
— опыт работы с evaluation для ML/LLM (auto-метрики + участие в ручной оценке, LLM-as-Judge).
Location: San Francisco; Palo Alto
Perplexity is seeking experienced ML engineers to design, build, and optimize the recommendation systems that power core experiences on Perplexity.
Perplexity builds AI for those who expect more. Our products are designed to help people find answers, make their most consequential decisions, and complete increasingly ambitious work. Across these use cases, the Perplexity experience must feel deeply personal. Great recommendations and user understanding are central to delighting and delivering for each user.
To do this, we are reimagining recommendation systems for the LLM era. Our goal is to combine the intelligence of frontier LLMs, the personalization context that comes from real product usage, and the continual learning capabilities of modern recommendation systems. We build systems that draw on past context and connected data sources to deeply understand each user's needs and recommend the actions that help them get the most out of Perplexity.
WHY PERPLEXITY IS DIFFERENT
- Craftsmanship. We build high quality, tasteful products targeting both AI native and AI curious users.
- Ownership. You identify the problem, design the solution and ship it.
- Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users.
- Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products.
- Partnership. We amplify each others’ strengths, break down silos, and give selflessly to help our colleagues deliver excellence.
WHAT YOU'LL DO
- Own the personalization and ranking behind key product surfaces to make Perplexity more useful and drive impact on core user and business metrics.
- Build user modeling that captures intent, preference, and propensity, and powers more relevant, more personalized experiences.
- Design the decision layer that balances competing objectives to produce the best overall experience for the user.
- Build the data and evaluation foundations that let these systems learn and improve with usage.
- Help shape the technical direction of ranking, recommendations, and personalization at Perplexity.
WHAT WE'RE LOOKING FOR
- Deep, hands-on experience building production recommendation, ranking, or personalization systems at scale.
- Strong ML fundamentals, covering areas such as engagement modeling, model calibration, offline and online metrics, and online experimentation.
- Experience integrating LLMs into ranking, retrieval, or personalization pipelines.
- Taste and judgment for how personalization should work in an LLM-native product, and curiosity about reimagining it from first principles.
- For tech leadership roles, we will also look for prior experience setting technical direction for recommendation/ranking projects.
NICE TO HAVE
- Experience with large-scale ranking and training infrastructure (multi-stage retrieval and ranking, feature stores, real-time serving).
- Background in user understanding, feed ranking, notifications, growth, or lifecycle modeling.
OUR MISSION
Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating.
Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending.
Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality.
Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways.
Repeat. For curious people this is a cycle that never ends.
Location: NYC (SoHo)
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
About the Role
Replit is experiencing extraordinary growth across our customer base and seeking a Mid-Market Account Manager with strong communication skills to drive retention, expansion, and customer success. Candidates with Customer Success or Account Management experience in SaaS, particularly with some technical background (i.e. having some coding knowledge or prior experience at other developer tool companies) are ideal.
We believe this role offers a distinctive opportunity for people who excel in client-facing situations and have a passion for customer success and AI. You'll leverage your skills to help customers maximize value from Replit's platform while driving sustainable revenue growth.
In this role you will:
- Serve as the primary relationship owner for your assigned customer portfolio, ensuring high satisfaction and retention
- Champion customer success by helping businesses realize the transformative potential of AI-powered software creation
- Lead onboarding programs that accelerate customer time-to-value and platform adoption
- Guide customers through Replit's rapidly evolving feature set, including Agent 3's autonomous capabilities, Plan Mode, and automation tools
- Execute renewal processes with a focus on expansion and long-term partnership development
- Maintain accurate customer health scores and renewal forecasting data in Replit's CRM (Hubspot)
- Gather and communicate valuable customer feedback, championing their interests within Replit
- Optimize customers' use of the Replit platform through ongoing training, support, and strategic guidance
Required skills and experience:
- 3-5+ years of experience in Customer Success, Commercial Account Management, or technical sales role, preferably in SaaS or developer tools
- Excellent communication skills, with the ability to explain technical concepts to non-technical audiences
- Proven track record of meeting or exceeding renewal and expansion revenue targets
- Experience managing customer relationships from onboarding through renewal and expansion
- Proficiency in using CRM systems and customer success tools (e.g., Hubspot)
- Ability to quickly learn and articulate the value of new technologies to diverse customer segments
- Strong problem-solving skills and consultative approach to customer challenges
- Self-motivated with excellent time management and organizational skills for managing multiple accounts
- Passion for technology and staying current with industry trends, particularly AI and automation
- Experience with or strong interest in AI is a plus
- Comfort with data analysis to drive customer success metrics and identify growth opportunities
Nice to have:
- You're an active Replit user
- You've worked at an early-stage startup or in developer tools
- Experience with rapid prototyping, product development workflows, or business process automation
- Background in customer success at companies serving technical or semi-technical user bases
- Degree in Computer Science, Engineering, Business, or a related field (or equivalent practical experience)
Tools + Tech Stack for this role:
- Replit
- Hubspot CRM
- Customer success and analytics platforms
- ZoomInfo
- LinkedIn Sales Navigator
- Hashboard, Hex
- Various customer communication and project management tools
This role may not be a fit if:
- You're not passionate about helping customers succeed and driving long-term relationships
- You lack an understanding of the software development lifecycle or have little interest in learning about technical workflows
- You're not excited about AI and its potential to transform how businesses operate
- You don't enjoy being in client-facing roles where 80% of your day is talking to customers
- You prefer transactional interactions over building deep, strategic relationship
This is a full-time role that can be held from our NYC office. This role has an in-office requirement.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: New York HQ; Santa Barbara, CA
Workplace: OnSite
ABOUT AVOCA
Avoca is transforming how home service companies engage with their customers. Our AI-powered conversational agents handle every high-value inbound call, from booking jobs, qualifying leads, and driving higher revenue, all at a speed and consistency unmatched by human call centers.
We're a Series B startup backed by Kleiner Perkins, Meritech Capital, General Catalyst, and other top-tier investors, with $125M raised and a $1B valuation. We grew 10x in 2025 and have scaled to 170+ employees in under two years across our NYC headquarters and Santa Barbara office.
In a $1T+ market where 85% of missed calls go to competitors, we're building the category-defining platform for AI-driven customer engagement, serving the largest brands in home services. With high-energy, in-office teams in both locations, every hire here has an immediate and visible impact.
ABOUT THE ROLE
As an Implementation Manager at Avoca, you'll own post-sales onboarding for our customers, serving as a hybrid of product expert, hands-on technical consultant, and project manager. You'll get into the technical details of home service companies, advising on integrations, AI prompt configurations, and product setup to ensure every implementation achieves client goals, hits time-to-value targets, and delivers an exceptional experience.
This is a highly cross-functional, client-facing role. You'll partner closely with CS, Sales, Product, and Engineering while managing multiple implementations simultaneously, balancing hands-on execution with strategic guidance.
WHAT YOU’LL DO
- Lead end-to-end implementations, owning project management, stakeholder communication, and client accountability from kickoff through go-live.
- Gather and document client business requirements and translate them into clear technical specifications that achieve customer goals through product expertise and best practices.
- Configure and iterate on prompting and workflows to drive call handling quality, conversion rates, and revenue impact.
- Partner with Product and Engineering to stay current on new features and build repeatable implementation playbooks and scalable success frameworks.
- Design and deliver tailored training and education on Avoca products to drive client proficiency and product adoption.
- Lead testing efforts including configuration QA, client testing coordination, and issue triage and resolution to ensure high-quality deployments.
- Provide go-live support by coordinating launch activities, monitoring production volume, and transitioning clients to post-launch teams seamlessly.
- Advocate for product improvements that matter most to implementation clients.
- Requires flexibility to travel to client sites.
WHAT YOU'LL BRING
- 2-5 years working at B2B startups in software implementation, technical account management, solutions architecture, or technical customer success, or more than 4 years of overall experience.
- Demonstrated fluency with APIs, webhooks, and integration patterns, including the ability to read and discuss payloads, auth models, and error handling.
- Experience configuring prompting, workflow logic, and system integrations in AI, SaaS, or enterprise software contexts.
- Strong project management skills with experience managing multiple concurrent software delivery projects for B2B clients.
- Clear, direct communicator who can simplify complexity for both technical and non-technical audiences.
- Self-motivated and comfortable operating in fast-moving, high-growth environments, with a track record of owning processes end-to-end.
WHO YOU ARE
- Self-motivated, entrepreneurial, and comfortable operating in fast-moving, high-growth environments.
- Thrives on owning processes end-to-end and balancing multiple initiatives simultaneously.
- Autonomous, self-directed, and comfortable working with ambiguity.
- A proactive and effective communicator.
- Collaborative, organized, and efficient.
- Eager to work in person at our NYC or Santa Barbara office full-time.
BENEFITS
- Comprehensive medical, dental, and vision insurance
- Company-sponsored 401(k) through Vestwell
- Flexible PTO plus U.S. federal holidays
- Company-wide off-sites
- Monthly wellness stipend
- Daily in-office lunch through Parkday
- Dinner covered when working late
- Commuter benefits and late-night rideshare
- Standing desks and workspace accommodations available on request
- All core tools and software provided
Compensation: The expected base salary for this role is $130,000-$170,000 with final compensation based on experience, skills, and qualifications determined during the interview process. Avoca’s total compensation package includes base salary, bonus, equity, and a comprehensive suite of benefits and perks. Our Recruiting team will share the full details as you progress through our hiring process.
WHY AVOCA
At Avoca, you’ll be part of a team that’s building a category-defining company at the center of a massive market opportunity. We’re a fast-moving, collaborative team with a culture designed for builders who thrive on speed, iteration, and impact.
Avoca provides equal employment opportunities to applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
УдалённоNorth America
Istanbul; Warsaw; Helsinki; Stockholm; Lisboa; Berlin; London; Barcelona
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ГибридNew York, NY (HQ); Relocation expense coverage to NYC or SF (if needed)
ГибридSan Francisco, California; New York, New York
San Francisco, CA | New York City, NY | Seattle, WA
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоCanada; United States
ОфисSydney
УдалённоSerbia; Georgia; United Arab Emirates; Portugal; Kazakhstan; Fully remote work within European time zones; flexible working schedule
San Francisco; Palo Alto
ГибридmiddleСША; 💹 401(k) Program with a 4% match (US Only); 🚗 Commuter Benefits (In-Office & US Only); We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds