Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The world's engineers want to get the most out of Claude. At Anthropic, technical instruction already happens everywhere: our Applied AI and Forward Deployed Engineering teams teach customers and partners, and engineers across the company help others learn to build with Claude. Today that instruction is a shared responsibility, delivered alongside people's primary roles. As demand grows, we need to turn that distributed expertise into a dedicated technical instruction function.
You will build that function.
You will be the first person at Anthropic whose full-time job is technical instruction. You'll spend your first year primarily in the classroom teaching engineers, architects, and other technical practitioners. You'll also build the people, standards, and systems that let Anthropic's technical instruction scale far beyond the people we directly employ.
This is a player-coach role. From day one you manage a small bench of instructors. You set the bar for what "ready to teach" means, decide who is cleared to teach a given module in Anthropic's technical programs, and assess facilitators from our training partners against that bar.
You're an engineer who teaches and a teacher who has led other teachers. You can build an agent live in front of a skeptical engineer, diagnose what isn't working in a technical lab, and make the material better. You can also watch an experienced instructor teach, tell them their session isn't ready yet, and coach them to get there.
You will report to the Head of Technical Enablement. The role is based in San Francisco with some travel expected.
Key responsibilities
Lead from the front.
Teach hands-on sessions to new Applied AI engineers, our field teams, and partner cohorts, in rooms from 12-person labs to 100-person training days.
Build the instructor bench.
Hire and develop instructors and curriculum developers. Decide contract renewals, and recommend conversions to full-time, against criteria you define.
Set the quality bar.
Own the observation rubric, dry-run protocol, and cleared-to-teach process for every instructor-led technical session.
Scale through train-the-trainer.
Set the bar the Lead Technical Instructor's train-the-trainer program teaches to, for internal experts, contract instructors, and partner facilitators.
Turn expertise into instruction.
Turn internal experts' content into sessions and labs that work in a live room.
Enable programs without owning them.
Staff other teams' programs with cleared instructors, and own the quality of instruction inside them.
Measure and improve.
Report learner pass rates per instructor each month, and act on them.
Minimum qualifications
8+ years of relevant professional experience
across software engineering, solutions engineering, developer advocacy, technical education, or related technical roles.
4+ years of hands-on technical instruction.
You have taught engineers live and hands-on, across audience sizes.
Production engineering.
You have written and shipped production software and engage credibly with experienced engineers on architecture and debugging.
Recent hands-on AI development.
In your last three years of work, you have built or debugged applications with LLM APIs, agent frameworks, tool use, MCP, or similar.
People leadership.
You have managed instructors, trainers, developer advocates, or solutions engineers, including hiring and performance management, and kept teaching.
Instructor development.
You have designed or run a train-the-trainer program, instructor certification, or observation framework.
San Francisco location.
You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent.
Preferred qualifications
A portfolio of sessions you taught and a rubric or certification you designed, shared only if you have the right.
Experience building an instruction or developer-education function from scratch.
Experience managing a contractor instructor bench, or clearing instructors across regions from recordings or trained observers.
Daily use of Claude Code or a comparable agentic coding tool, or building on Claude through Amazon Bedrock, Google Vertex AI, or Microsoft Foundry.
Deep enthusiasm for AI and real care about building it responsibly.
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:
$365,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
headSan Francisco, CA; You are based in San Francisco or willing to relocate with our relocation support, can be in the office every day a program runs, 3 days in a normal week, and can travel 25 to 30 percent
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s engineers are building some of the most ambitious AI systems and applications in the world. We also help engineers, architects, and technical practitioners across Anthropic, our partners, and our customers learn to build with Claude.
Until now, technical instruction has largely been a shared responsibility. We are building a dedicated technical instruction function to make that learning exceptional and ensure that everyone who teaches in Anthropic’s technical programs meets a consistent, high bar.
We are looking for a Technical Instructor Lead in New York to help bring that standard to life. About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones. The other half will be spent developing other instructors, running train-the-trainer programs, and improving the quality and consistency of technical instruction across programs.
You are an engineer who teaches and a teacher who makes other teachers better. You can build an agent live in front of a skeptical staff engineer, diagnose a broken lab while a room of learners waits, and adapt when a lesson is not landing. You can also watch another instructor teach for ten minutes and identify the one change that will materially improve their next session.
This is not primarily an instructional design or classroom facilitation role. You should be comfortable writing code, debugging technical systems, and teaching practitioners who may know more than you do about their particular domain.
You will report to the Head of Technical Training.
Key responsibilities
Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones.
Model excellent technical teaching for audiences ranging from small, interactive labs to 100+ technical practitioners, adapting to different levels of experience and technical depth.
Run train-the-trainer programs for internal experts, contract instructors, and training partners, using Anthropic’s practice-teach, feedback, and certification processes.
Coach and calibrate instructors through live and recorded observations, actionable feedback, and recommendations on readiness to teach specific content.
Partner with technical experts to turn subject matter expertise into effective sessions, labs, exercises, and demonstrations, and improve content based on what happens in the room.
Own instructional quality in assigned programs, staffing yourself and cleared instructors into East Coast program calendars and ensuring delivery meets Anthropic’s standards.
Use learner and instructor data to identify gaps in instruction and recommend improvements to curriculum, delivery, and instructor development.
Help evolve Anthropic’s technical instruction function, bringing your experience from the room into our standards, instructor development practices, and approach to scaling quality.
Minimum qualifications
6+ years of relevant professional experience across software engineering, solutions engineering, developer advocacy, technical education, or another technically deep role.
3+ years of hands-on technical instruction, including teaching engineers in live environments both in person and remotely. You know how to make difficult technical concepts click and how to adapt when they do not.
Production engineering experience. You have written and shipped production software and can engage credibly with experienced engineers on architecture, implementation, debugging, and technical tradeoffs.
Recent hands-on AI development. Within the past three years, you have built or debugged applications using LLM APIs, agents, tool use, MCP, or related technologies. You are comfortable with rapidly changing AI development tools and unfamiliar technical problems.
Instructor development experience. You have helped other instructors or technical presenters improve through observation, structured feedback, practice teaching, or train-the-trainer programs.
New York City location or willingness to relocate. You will work from our NYC office whenever an instructor-led program is in session there, typically around three days per week. The role includes approximately 25% travel to San Francisco and, over time, Europe.
Preferred qualifications
Experience designing or operating a train-the-trainer, instructor certification, or observer-calibration program.
A portfolio of sessions, labs, or courses you have designed and taught, plus material you created so others could teach it.
Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions.
Experience using Claude Code or a comparable agentic coding tool as a significant part of your engineering workflow.
Experience building with the Claude Developer Platform through Amazon Bedrock, Google Vertex AI, Microsoft Foundry, or comparable infrastructure.
Experience with public speaking, conference workshops, or developer advocacy.
Deep enthusiasm for AI and a genuine commitment to building and deploying it responsibly.
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:
$270,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Abu Dhabi, UAE
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About the Role
Bybit is seeking an experienced compliance leader to establish and lead its Global Compliance Operations function.
This role focuses on building the operational infrastructure that supports Bybit's regulatory licences across multiple jurisdictions. Rather than providing legal advice or interpreting regulations, the team ensures regulatory commitments are translated into practical operating procedures, governance frameworks, and sustainable business processes.
Working closely with Licensing, Legal, Product and the regional business teams, you will ensure every licensed entity launches with the appropriate operational controls and continues to meet its ongoing regulatory obligations.
Responsibilities
Lead the operational implementation of regulatory licences across all licensed entities, ensuring operational readiness and regulatory commitments are fully embedded into business operations prior to go-live.
Develop and maintain compliance operational frameworks, including SOPs, governance processes, control frameworks and monitoring mechanisms.
Standardise compliance operational documentation, templates and implementation methodologies across jurisdictions.
Maintain oversight of regulatory obligations by implementing governance, tracking and escalation mechanisms across licensed entities.
Identify operational gaps between regulatory requirements, internal policies and business practices, and drive remediation.
Partner with Licensing, Legal, Product, Technology, Operations and regional teams throughout the licensing lifecycle.
Provide senior management with regular reporting on implementation progress, operational risks and regulatory commitments.
Lead and develop the Compliance Operations team while driving continuous improvement across the function.
Requirements
10+ years' experience in Compliance Operations, Regulatory Operations or a related function within financial services, fintech or digital assets.
Demonstrated experience implementing regulatory or licensing requirements into operational business processes.
Experience operating across multiple jurisdictions and working with global stakeholders.
Proven experience building or improving operational frameworks within a regulated environment.
Strong programme management and stakeholder management capabilities.
Excellent written communication with demonstrated experience designing SOPs, operational procedures and governance documentation that enable scalable and consistent business operations.
Previous people management experience with the ability to coach and develop high-performing teams.
Profile
Passionate about cryptocurrency, digital assets and emerging financial technologies.
Builder mindset with the ability to create structure in fast-moving environments.
Commercially minded and able to balance regulatory expectations with business objectives.
High level of ownership and accountability.
Comfortable leveraging AI and automation tools to improve operational efficiency and team productivity.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI Research Engineer, you will discover what Anthropic's models and products can do, prove it with real customers, and equip the rest of Applied AI to sell and deliver it. You'll embed with product teams to build deep expertise on new capabilities as they develop, and serve as a critical feedback loop carrying field reality back to Product and Research so that what we build next reflects what customers actually need.
In collaboration with Sales, Product, and Research teams, you'll sit at the intersection of what we build and how customers adopt it. You'll own the technical<> GTM handshake for model and product launches: testing new models to understand their strengths and limitations, building demos and evals, and helping field teams get ready. When strategic customers hit novel challenges, you'll go hands-on to solve them. And throughout, you'll synthesize what you're learning across customers and products into insights that shape our roadmap, working closely with Product, Engineering, and Research teams to stay calibrated on what's working, what's not, and what matters most.
This role is equal parts researcher, field expert, and connective tissue between our customers and the teams that build our products. You'll need the technical depth to push the boundaries of what our models can do, strong communication skills to make complex capabilities clear to diverse audiences, and the instinct to turn what you learn in the field into signal that makes our products better.
Responsibilities:
Embed with product teams to build deep technical expertise on new products and capabilities as they develop, becoming the field's go-to expert in your domain
Own the technical<> GTM handshake for model and product launches-- early testing, field readiness assessments, and ongoing capability education throughout the model lifecycle
Build demos, evals, and prototypes that showcase customer-relevant model and product capabilities, and define what good performance looks like in important domains
Develop enablement materials like playbooks, training sessions, and reference architectures in partnership with Technical Enablement, so Applied AI teams can effectively position and deliver new capabilities from day one
Engage hands-on with strategic customers facing novel technical challenges in your domain, discover solutions, then package learnings into scalable approaches for the broader field
Synthesize insights from across customer engagements and work with Product and Research to land them. Identify adoption patterns, common blockers, and capability gaps that should inform our research and product roadmaps
Partner with Sales and Applied AI teams to support high-value accounts that need specialized domain knowledge
Travel occasionally to customer sites for workshops, implementation support, and research collaboration
You may be a good fit if you have:
6+ years of experience as a Software Engineer, Technical Product Manager, Forward Deployed Engineer, AI startup founder, or similar technical role -- ideally with some exposure to customers or end users
A track record of going deep on technical problems and then translating what you learned into materials, training, or tools that helped others succeed
Strong technical aptitude with strong proficiency in at least one programming language
Meaningful experience building with large language models -- whether shipping LLM-powered products, developing agents or workflows, or integrating models into production systems
Experience designing evals, building prototypes, or developing technical enablement for complex products
The ability to quickly build domain expertise in new product areas and become a credible technical voice on new topics
Curiosity about what AI models can actually do -- you enjoy probing the edges of new capabilities and figuring out what use cases just unlocked
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders, including exec-level
The ability to navigate and execute amidst ambiguity, and to flex into different domains based on the business problem at hand, finding simple, easy-to-understand solutions
A collaborative, service-oriented mindset – go-to-market at Anthropic is a team sport
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$400,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: USA - Remote
Workplace: Remote
💫 This job description was written by a person
ABOUT US
Since 2013, we’ve been building a CRM that gets out of your way and helps your team sell more, faster. Now we’re building AI into every part of it, so Close does the busywork and your team does the selling. No manual data entry, no 10-click workflows. Just communication-first, AI-powered sales software designed to help you succeed and scale.
We're bootstrapped and profitable which means we answer to our customers and play by our rules. We're proud of our 130-person, 100% remote team, focused on building Close so that no small, scaling business fails because it can't figure out sales.
ABOUT THE ROLE
Our GTM org has a lot of questions. Most of the questions we care about can’t be answered by spinning up a cute dashboard. Is branded search creating new customers or capturing demand that already existed? Did the homepage redesign improve conversion, or did our traffic mix change? If we’ve got some wild ideas for our next bet, where should the money go?
These kinds of big-picture questions require someone who can interrogate the metric, trace it through the warehouse, understand the business context, and turn it into action. This person will be our first Full Stack Data Analyst dedicated to GTM. You’ll work alongside GTM leadership to make consequential decisions while still staying hands-on in the nitty gritty of all the data.
The best part: the way we answer these questions is changing. Effective SQL is just a few tokens away, dashboards can be Claude-ed in minutes, and teammates increasingly expect to find their own answers. You’ll build the semantic layers, context, and guardrails that make self-service possible, even trustworthy, then determine where an analyst’s expertise is indispensable.
YOU ARE
- An experienced analyst. You have roughly 8 years of hands-on, highly technical analytics experience. Most importantly: you’re backed by the pattern recognition that comes with having seen all sorts of hairy problems. You’re at the point in your career where you can take an ambiguous business question, dive head-first into the data, turn your findings into a decision, and bring everyone else along with you.
- A bridge between the technical and the business. You can build a model in dbt, work directly in Snowflake, and translate it into something actionable. You’ll partner closely with our Lead Analytics Engineer but you need to be willing and able to dive in and self-serve.
- Fluent in the quirks of GTM data. Attribution, channel definitions, UTMs, bots and broken tracking are known quantities. You don’t need to have been a dedicated GTM Analyst, but you should certainly know your way around this part of the business.
- Pushing the boundary of what AI means for analytics. AI is writing your first-draft SQL, analysis, and reporting and you’ve shifted that energy to bringing analysis into the future: building the semantic layers, context, and guardrails that let the team self-serve trustworthy answers.
- A trusted cross-functional leader. Teammates across functions and levels listen to you. You immerse yourself in the context of their needs and bridge gaps in understanding.
- Fiercely independent and accountable. You welcome a vague ask with aplomb. You’ll scope the problem, find the dependencies, bring in the right people, and drive the work through the analysis, recommendation…all the way to a fix.
- More concerned with impact than output. A polished dashboard is useful only when it changes what we do. You prioritize the questions that can materially improve acquisition, conversion, retention, and revenue.
YOU WILL
- Make our GTM data trustworthy. You’ll define metrics, model the funnel from first touch through paid conversion, and reconcile discrepancies across Snowflake, Segment, Amplitude, GA4, and our ad platforms.
- Explain what we’re seeing. Why are trials up while paid conversion isn’t? Why are Snowflake and Amplitude disagreeing? Which channel is driving volume but producing low-quality customers? You’ll dig into the data until we understand what changed and why.
- Help decide what to do next. Are we on track to hit our goals? What would another investment in paid media produce? You’ll forecast, model the tradeoffs, and empower leadership to make the best possible decision.
- Own the outcome. Whether you uncover something small like broken campaign tracking or you’re focused on moving a major business metric, you’ll bring in the right people and shepherd the team to the data-driven outcome.
- Define the next era of Data at Close. You’ll help us move from a queue of reactive requests to a system where an agent spots changes, assembles the context, and gets the right insight to the right person at the right time.
BENEFITS
- Compensation: Competitive pay plus an organization-wide goal-based bonus
- Paid Time Off: ~5 weeks of PTO to start. Plus a 1-week all-company Winter Holiday Break and paid US holidays. You'll earn 2 extra days for every year you're with Close.
- 80% Work Option: Work with your manager to choose between a standard 5-day week or a 4-day week at 80% pay
- Parental Leave: Paid leave for primary and secondary caregivers
- Sabbatical: A 1-month paid sabbatical every 5 years with the team
- Healthcare (US residents): Best-in-class health coverage with the majority of employee and dependent premiums covered. Two medical plans, plus Dental, Vision, HSA, FSA, and company-paid Long-Term Disability.
- 401k (US residents): We match your contributions up to 6%, vested immediately
OUR VALUES
Build a house you want to live in - Examine long-term thinking and action
No BS - Practice transparency and honesty, especially when it’s hard
Invest in each other - Build successful relationships with your coworkers and customers
Discipline equals freedom - Keep your word to yourself and others
Strive for greatness - Constantly challenge yourself and others
LEARN MORE
Listen to our CEO and Founder, Steli Efti, tell the story of Close’s journey in the $0-30m Blueprint https://www.close.com/blueprint.
Watch our culture video https://www.youtube.com/watch?v=maXKi1GN2MI from our 2023 team retreat in Milan. Every year our entire team gathers in person to build connection, foster cross-functional collaboration, and have fun. In 2027, we're headed to Dusseldorf, Germany!
Explore our product. Check out a demo https://www.close.com/demo-site!
OUR HIRING PROCESS
We ask a few role-specific questions as part of our application process. These questions are designed to help us learn more about you from the start, so please answer each one thoughtfully. We see this as an opportunity to get to know you beyond your resume.
We use AI tools daily at Close and expect candidates to do the same. In evaluating your application, we aim to get a sense for you - the way you think, how you communicate, the work you've done. Applications that read as fully AI-generated will not be considered.
Regardless of fit, you can expect to hear back from our team with an update on the status of your candidacy.
If you progress to the interview process, you'll receive a full outline of the role-specific steps in your first touchpoint with us. We do our best to make the hiring process clear and human.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a Director, Technical Revenue Accounting to join our Accounting Team. In this role, you will own the company’s most complex ASC 606 technical positions, lead the revenue accounting memo portfolio, and serve as the senior accounting decision-maker for new product revenue recognition treatments, non-standard deal structures, and partnership / marketplace go-to-market initiatives. You will partner directly with Deal Desk, Product, Legal, and Partnership leadership and set the technical revenue policy direction for the company! If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative company, come join us in our mission to build cutting-edge, safe AI.
Key responsibilities
Own the company’s ASC 606 technical accounting memo portfolio — authoring and reviewing position papers on the most complex and judgment-intensive revenue recognition scenarios, including the SSP study
Lead the technical revenue assessment for all new product offerings (NPI) and programs, serving as the accounting decision-maker on performance obligation identification, SSP evaluation, and contract modification frameworks, and providing authoritative guidance to Product, Pricing, and GTM cross-functional teams
Serve as the senior Revenue Accounting partner to Deal Desk, Sales, and Legal — structuring non-standard deal terms, and providing real-time revenue recognition guidance on the company’s largest and most strategic commercial arrangements
Provide technical accounting guidance on partnership and marketplace arrangements for cloud third-party channels, including principal-vs-agent determinations, and revenue-share / co-sell economics
Own key accounting processes such as SSP analysis and related allocations, contractual credit amortization, reseller/partner channel incentives and rebates, footnote disclosures etc.
Own the revenue contract review framework, including ASC 606 checklists, position papers, and escalation paths, ensuring revenue recognition compliance scales with deal volume
Lead technical research initiatives on emerging revenue recognition issues and present recommendations to the Controller
Translate complex technical accounting requirements into actionable business guidance for non-accounting stakeholders
Review revenue-related month end close journal entries and flux analysis
Drive process improvement and revenue system implementation projects, including scoping, design sign-off, and UAT ownership
Minimum qualifications
Have a track record of authoring technical accounting memos on complex, judgment-intensive revenue arrangements
Have strong knowledge of ASC 606 with experience in performance obligation analysis, standalone selling prices, contract modification accounting, considerations payable to a customer, principal versus agent analysis, material rights, and variable consideration treatment
Ability to articulate complex accounting positions clearly, and proactively conduct technical accounting research to identify emerging revenue recognition challenges
Have hands-on experience with revenue recognition tools (e.g., Workday Financial Management, Zuora RevPro)
Have SQL proficiency for querying and analyzing large revenue and contract datasets
Have proven ability to lead cross-functional workstreams across Deal Desk, Product, and Partnership teams and drive results
Have a demonstrated ability to thrive in fast-paced, ambiguous environments
Preferred qualifications
Have 14+ years of progressive accounting experience, with extensive expertise in ASC 606 implementation and complex revenue recognition scenarios, including 4+ years in a technical revenue leadership or managerial role
A Bachelor's degree in Accounting or Finance; CPA required with demonstrated technical accounting expertise
Big 4 technical accounting / national office background combined with industry experience
Experience with technical accounting advisory work, including revenue recognition consulting or implementation experience
Experience with cloud marketplace, reseller, or channel partnership revenue arrangements
Experience working with consumption-based and subscription-based revenue models
Knowledge of AI/ML, SaaS and technology sector revenue recognition complexities
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:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Milan, Italy; Biassono, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
As a Staff Product Engineer at Docebo, you won't just ship features—you will define product direction and solve high-impact, ambiguous technical challenges across our entire ecosystem. Operating at the dynamic intersection of product strategy, full-stack architecture, and AI-accelerated execution, you will design scalable, long-lived systems that power the future of work-based learning. In this pivotal role, you will elevate both our modern tech ecosystem and the engineers around you, turning complex technical possibilities into seamless experiences for millions of learners worldwide.
Our Tech-Stack
We build modern, scalable, and resilient products. Our ecosystem is diverse, and we believe in leveraging the best tools for the job. Here is a snapshot of our technology stack:
- Core Backend: We power our services using PHP, Node.js (TypeScript), and Golang. We are also embracing Serverless architecture, leveraging it specifically for our newest modules and features to ensure maximum scalability and speed of innovation.
- Frontend Ecosystem: Angular is our main framework for web applications, though some of our cross-functional teams build components using React.
- Mobile Development: We deliver high-quality cross-platform mobile experiences powered entirely by React Native.
- Cloud & DevOps: Our entire infrastructure is fully cloud-native and hosted on AWS.
THE DAY-TO-DAY 🛠️
- Architect the Future: Define long-term architectural standards and design resilient systems, leveraging stack.
- Lead High-Impact Initiatives: Spearhead complex, end-to-end, cross-functional product initiatives from problem framing straight through to measurable business outcomes.
- Shape Product Strategy: Partner closely with Product and Design leaders to influence roadmaps, test assumptions, and ensure technical leverage is built into strategic decisions.
- Create AI-Powered Leverage: Institutionalize AI-assisted development practices, standards, and guardrails to help our teams safely ship faster with dramatically higher output.
- Elevate Engineering Excellence: Raise the bar across CI/CD, observability, testing, and operational reliability while eliminating systemic bottlenecks across teams.
- Connect with Customers & Impact: Engage directly with internal stakeholders and customers to deeply understand pain points, using product analytics tools to design experiments and measure results.
- Mentor and Multiply: Coach engineers across disciplines on architecture, product thinking, and AI tools, driving alignment and leading through technical credibility.
YOUR SUPERPOWERS ⚡
- Experience: 10+ years of full-stack software development experience with a proven track record of designing, building, and shipping complex products end-to-end and solving complex production issues.
- Language & Tech Agility: Experience working with multi-language backends and frameworks and a readiness to tackle scalability, ADRs, and performance tasks in PHP services without requiring prior PHP proficiency.
- AI-Assisted Power: Mastery of AI-assisted development tools (Claude Code, Cursor, Codex, or similar) with a habit of leveraging them daily to supercharge software output.
- Analytics & Experimentation Drive: Advanced fluency with product analytics platforms (PostHog, Amplitude, Mixpanel) and comfortable driving experimentation through feature flags and A/B testing.
- DevOps & Cloud Proficiency: Advanced experience with CI/CD pipelines, cloud environments (AWS), containerization (Kubernetes), and modern observability practices.
- Ambiguity Navigation: Exceptional ability to break down complex, undefined problems into crisp, executable technical plans with clear tradeoffs.
- Leadership & Collaboration: Outstanding track record of mentoring engineering talent, communicating directly with customers and stakeholders, and influencing cross-functional teams without direct authority.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: Remote (United States)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
We’re looking for an experienced Talent Acquisition Sourcer to help identify and engage exceptional talent as Tailscale continues to scale. This is initially a 6-month contract position with the potential to extend and/or convert to a full-time role based on business needs and performance.
You’ll operate as a fully integrated member of our Talent Acquisition team, partnering with Talent Acquisition Partners and hiring teams to build high-quality pipelines across Engineering, Product, Design, GTM, G&A, and other business-critical searches.
We’re looking for someone who is curious, resourceful, and creative; can quickly understand new roles and talent markets; and is comfortable going beyond traditional sourcing methods to find and engage exceptional people.
Key Responsibilities
Build & Execute Sourcing Strategies
Partner with Talent Acquisition Partners to understand candidate profiles, hiring priorities, and sourcing needs across the company.
Develop and execute targeted sourcing strategies across Engineering, Product, Design, GTM, G&A, and other functions.
Identify and engage passive talent using a range of sourcing channels, research methods, communities, networks, and creative approaches.
Manage multiple searches and adjust sourcing strategies based on pipeline performance, candidate feedback, and evolving priorities.
Source Technical & Specialized Talent
Develop a strong understanding of Tailscale’s product, technology, business, and culture to effectively identify candidates who may thrive here.
Translate technical and specialized role requirements into effective searches in partnership with Talent Acquisition Partners and hiring teams.
Research relevant companies, technologies, communities, and talent pools to identify candidates beyond traditional sources.
Build knowledge of talent markets relevant to Tailscale, including infrastructure, networking, security, developer tools, cloud technologies, and other functional areas.
Use Data & Market Intelligence
Bring comfort with sourcing data and market insights to evaluate pipeline health, identify search challenges, and improve sourcing outcomes.
Conduct talent research and market mapping across relevant companies, locations, candidate profiles, and competitive talent pools.
Surface actionable insights on candidate availability, market trends, and search constraints to Talent Acquisition Partners.
Build reusable talent maps and research that can support current and future hiring needs.
Build Inclusive Talent Pipelines
Incorporate inclusive sourcing practices into search strategies from the outset.
Identify talent across a broad range of backgrounds, experiences, communities, and career paths.
Explore new networks, communities, and sourcing channels that expand access to qualified talent.
Partner with Talent Acquisition Partners to broaden search approaches and improve candidate representation where appropriate.
Engage Exceptional Talent
Create thoughtful, personalized outreach that communicates why Tailscale and the specific opportunity may be compelling.
Build authentic relationships with passive candidates and assess interest, motivation, experience, and potential alignment.
Partner with Talent Acquisition Partners to ensure seamless candidate handoffs and a consistent candidate experience.
Represent Tailscale thoughtfully and authentically in every interaction with prospective talent.
Partner Across Talent Acquisition
Collaborate with Talent Acquisition Partners, Sourcers, Operations, and hiring teams on search strategy, candidate calibration, and pipeline development.
Participate in sourcing jams and share sourcing techniques, talent pools, market observations, and search learnings across the team.
Support high-priority or specialized searches as needed, adapting quickly as hiring priorities evolve.
Partner with Talent Acquisition Operations to improve sourcing tools, workflows, data quality, automation, and AI-enabled practices.
What We Are Looking For
3+ years of talent sourcing and/or recruiting experience, ideally within high-growth technology companies or similarly competitive talent environments.
Experience sourcing technical talent and supporting searches across multiple functions such as Engineering, Product, Design, GTM, or G&A.
Ability to quickly understand complex or unfamiliar roles and translate candidate requirements into effective sourcing strategies.
Strong research skills and experience using sourcing techniques beyond basic keyword, title, or traditional platform searches.
Strong passive candidate engagement and communication skills, including the ability to create thoughtful, personalized outreach.
Strong organizational and analytical skills, with the ability to manage multiple searches and use sourcing data to evaluate pipeline effectiveness.
Collaborative and adaptable working style, with experience using sourcing platforms, ATS technology, and an interest in AI, automation, and emerging sourcing tools.
Nice to Have
Experience sourcing within a highly technical startup, developer tools, infrastructure, networking, security, cloud, or similar environment.
Experience identifying technical talent through GitHub, open-source or technical communities, and other channels beyond traditional recruiting platforms.
Experience sourcing across technical and non-technical functions, geographies, or globally distributed teams.
Experience supporting difficult-to-fill, leadership, or confidential searches.
Experience building talent maps, conducting competitive research, or contributing to collaborative sourcing sessions.
A track record of building broad candidate pipelines and finding strong talent through creative research, persistence, and thoughtful engagement.
Note:
this is a contract position and is not eligible for the full-time, exempt benefits listed below.
US Pay Range
$49
—
$74.50 USD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: Remote (Canada)
Thank you for considering Tailscale. If this job description resonates with you, please apply.
Frequently cited statistics show that people who identify with historically marginalized groups are likely to apply to jobs only if they meet 100% of the qualifications.
We encourage you to help us break that statistic!
About Tailscale
Tailscale is making safe connection effortless by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational corporations, teams of every size use Tailscale each day to protect their networks, share access to internal tools, and more. We're building a future for the Internet that's easy, sensible, and safe, like it used to be. Founded in 2019 and fully distributed, we're backed by Accel, CRV, Insight, Heavybit, and Uncork Capital.
About the Role
We’re looking for an experienced Talent Acquisition Sourcer to help identify and engage exceptional talent as Tailscale continues to scale. This is initially a 6-month contract position with the potential to extend and/or convert to a full-time role based on business needs and performance.
You’ll operate as a fully integrated member of our Talent Acquisition team, partnering with Talent Acquisition Partners and hiring teams to build high-quality pipelines across Engineering, Product, Design, GTM, G&A, and other business-critical searches.
We’re looking for someone who is curious, resourceful, and creative; can quickly understand new roles and talent markets; and is comfortable going beyond traditional sourcing methods to find and engage exceptional people.
Key Responsibilities
Build & Execute Sourcing Strategies
Partner with Talent Acquisition Partners to understand candidate profiles, hiring priorities, and sourcing needs across the company.
Develop and execute targeted sourcing strategies across Engineering, Product, Design, GTM, G&A, and other functions.
Identify and engage passive talent using a range of sourcing channels, research methods, communities, networks, and creative approaches.
Manage multiple searches and adjust sourcing strategies based on pipeline performance, candidate feedback, and evolving priorities.
Source Technical & Specialized Talent
Develop a strong understanding of Tailscale’s product, technology, business, and culture to effectively identify candidates who may thrive here.
Translate technical and specialized role requirements into effective searches in partnership with Talent Acquisition Partners and hiring teams.
Research relevant companies, technologies, communities, and talent pools to identify candidates beyond traditional sources.
Build knowledge of talent markets relevant to Tailscale, including infrastructure, networking, security, developer tools, cloud technologies, and other functional areas.
Use Data & Market Intelligence
Bring comfort with sourcing data and market insights to evaluate pipeline health, identify search challenges, and improve sourcing outcomes.
Conduct talent research and market mapping across relevant companies, locations, candidate profiles, and competitive talent pools.
Surface actionable insights on candidate availability, market trends, and search constraints to Talent Acquisition Partners.
Build reusable talent maps and research that can support current and future hiring needs.
Build Inclusive Talent Pipelines
Incorporate inclusive sourcing practices into search strategies from the outset.
Identify talent across a broad range of backgrounds, experiences, communities, and career paths.
Explore new networks, communities, and sourcing channels that expand access to qualified talent.
Partner with Talent Acquisition Partners to broaden search approaches and improve candidate representation where appropriate.
Engage Exceptional Talent
Create thoughtful, personalized outreach that communicates why Tailscale and the specific opportunity may be compelling.
Build authentic relationships with passive candidates and assess interest, motivation, experience, and potential alignment.
Partner with Talent Acquisition Partners to ensure seamless candidate handoffs and a consistent candidate experience.
Represent Tailscale thoughtfully and authentically in every interaction with prospective talent.
Partner Across Talent Acquisition
Collaborate with Talent Acquisition Partners, Sourcers, Operations, and hiring teams on search strategy, candidate calibration, and pipeline development.
Participate in sourcing jams and share sourcing techniques, talent pools, market observations, and search learnings across the team.
Support high-priority or specialized searches as needed, adapting quickly as hiring priorities evolve.
Partner with Talent Acquisition Operations to improve sourcing tools, workflows, data quality, automation, and AI-enabled practices.
What We Are Looking For
3+ years of talent sourcing and/or recruiting experience, ideally within high-growth technology companies or similarly competitive talent environments.
Experience sourcing technical talent and supporting searches across multiple functions such as Engineering, Product, Design, GTM, or G&A.
Ability to quickly understand complex or unfamiliar roles and translate candidate requirements into effective sourcing strategies.
Strong research skills and experience using sourcing techniques beyond basic keyword, title, or traditional platform searches.
Strong passive candidate engagement and communication skills, including the ability to create thoughtful, personalized outreach.
Strong organizational and analytical skills, with the ability to manage multiple searches and use sourcing data to evaluate pipeline effectiveness.
Collaborative and adaptable working style, with experience using sourcing platforms, ATS technology, and an interest in AI, automation, and emerging sourcing tools.
Nice to Have
Experience sourcing within a highly technical startup, developer tools, infrastructure, networking, security, cloud, or similar environment.
Experience identifying technical talent through GitHub, open-source or technical communities, and other channels beyond traditional recruiting platforms.
Experience sourcing across technical and non-technical functions, geographies, or globally distributed teams.
Experience supporting difficult-to-fill, leadership, or confidential searches.
Experience building talent maps, conducting competitive research, or contributing to collaborative sourcing sessions.
A track record of building broad candidate pipelines and finding strong talent through creative research, persistence, and thoughtful engagement.
Note:
this is a contract position and is not eligible for the full-time, exempt benefits listed below.
CAN Pay Range
$65
—
$100 CAD
What We Offer
An inclusive, flexible environment where you can be your authentic self.
We recognize the impact of diverse voices and backgrounds on the growth of our people, product, and company. And that flexibility in how and when you work empowers our team to integrate work and life.
A competitive total compensation package.
This includes a base salary, an equity incentive plan and variable commission (for quota-based roles).
Comprehensive group benefits with no waiting period.
Take advantage of coverage for health, vision, dental, and more for you and your family!
Remote first company
—most of our teams work fully remotely. Enjoy a change of scenery wherever you can get wifi, participate in virtual and in-person social events, and leverage our corporate co-working program to visit WeWork (or other similar spaces near you). Some roles require in-office collaboration depending on team needs, which will be clearly noted in the job description.
Employer-funded retirement contributions.
Tailscale will match your retirement contributions dollar-for-dollar, up to a maximum annual employer contribution equal to 0.75% of your eligible compensation.
Connect with other Tailscalars IRL.
Attend our annual company retreat, participate in team off-sites, and collaborate in person with teammates across Canada, the United States, the United Kingdom, and Singapore. We support intentional in-person connection through team travel and distributed collaboration.
Support for your personal and professional development.
Grow your career thoughtfully with $1500 USD annually for professional development, or take advantage of mentorship, coaching, and internal promotion opportunities.
Paid time off and a healthy work-life integration.
Our flexible, paid time off program supports you for any situation life throws your way, whether moving homes or travelling the world!
A build-your-own home office setup.
You choose your own company-owned laptop (Mac or PC), receive a monthly home internet reimbursement, and $500 USD to customize your workstation to make it your own.
Paid parental leave program
. We care about your life outside of work and encourage new parents to take advantage of parental leave top-ups (20 weeks for birthing parents, 16 weeks for non-birthing parents).
Tailscale is committed to providing an accessible and inclusive hiring process. If you require an accommodation at any stage of the recruitment process or related to any aspect of this role, please contact your recruiter.
Our hiring process uses AI-assisted tools to help screen and assess candidates. All hiring decisions are made by people.
Please be aware that legitimate emails from Tailscale's talent team will only originate from @tailscale.com, @greenhouse.io, and @interviews.modernloop.io email addresses. For more information about protecting yourself from impersonators and scams, please visit
https://tailscale.com/scam-awareness
.
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Locations: Las Vegas, Los Angeles, Phoenix, San Diego
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
For California (excluding Bay Area) based hires: Estimated annual salary of $234,000.00 - $292,000.00
Equity
This role is eligible to participate in Cloudflare’s equity plan.
Benefits
Cloudflare offers a complete package of benefits and programs to support you and your family. Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun! The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.
Health & Welfare Benefits
Medical/Rx Insurance
Dental Insurance
Vision Insurance
Flexible Spending Accounts
Commuter Spending Accounts
Fertility & Family Forming Benefits
On-demand mental health support and Employee Assistance Program
Global Travel Medical Insurance
Financial Benefits
Short and Long Term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan
Employee Stock Participation Plan
Time Off
Flexible paid time off covering vacation and sick leave
Leave programs, including parental, pregnancy health, medical, and bereavement leave
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Barcelona
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for an Engine Programming Intern to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Help to maintain and extend our proprietary engine’s tech stack (Memory management, networking, ECS, data structures, performance optimization, physics systems, animation systems …)
Work closely together with the other departments to implement the needed game components.
Write robust, performant, well tested and maintainable code.
Be an active participant in the design and production of the game; the technical side of the creative team!
Requirements
Good knowledge of C++.
Strong understanding of basic C++ concepts (types, OOP, memory management, etc.)
Portfolio of personal C++ project(s) (with source code), not older than 2 years
Projects must be personal work (university coursework will not be considered)
Applications without coding examples will not be considered
Open minded, willing to experiment and iterate over a specific feature.
Good communication skills in English.
You are a team player and willing to take responsibility.
Problem-solving skills.
Willingness to work full-time on-site at our Barcelona studio.
What We Offer
An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with likeminded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Location: Barcelona
Workplace: onsite
With multiple awards to our name, Larian Studios has proven that we’re dedicated to delivering high-quality role-playing games. As we move on to new projects, the studio that brought you Baldur’s Gate 3 & Divinity: Original Sin 2 is looking for a Graphics Programming Intern to join the team and help us in crafting the high calibre games our fans have come to expect.
Responsibilities
Help to maintain and extend our proprietary engine’s graphics stack (Global illumination, particle simulation, custom materials, post-process effects, culling, texture or visual streaming …).
Work closely together with the content production teams, (Tech) Art, level design, VFX … to implement visual effects of topnotch quality.
Write robust, performant, well tested and maintainable code.
Be an active participant in the design and production of the game; the technical side of the creative team!
Requirements
Good knowledge of C++
Knowledge of the DirectX 12 API and HLSL
Understand concepts like GPU driven rendering, culling, deferred rendering, lighting, and post processing
Open minded, willing to experiment and iterate over a specific feature
Good communication skills in English
You are a team player and willing to take responsibility
Problem-solving skills
Willingness to work full-time on-site at our Barcelona studio
Proven track record: share your portfolio with explicit work you have done.
What we offer
An international team of over 500 employees spread across 7 studios around the world, each of which have their own unique qualities, and maintain a small-studio feel
An open, collaborative environment where ideas are welcome and encouraged
A managerial team consisting of highly experienced game developers at the top of their fields
Sharing hobbies and passions with likeminded colleagues
Inclusive environment with many activities organized by the studios or the employees
Commitment to making the best game possible for the fans, including listening to community feedback
Location: Argentina
Workplace: Remote
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality.
We’re looking for a Senior Software Engineer to help us build the next generation of Agentic Codebases.
ABOUT THE ROLE:
- Location: Remote-first (Argentina)
- Permanent, full-time employee (this is not a contractor position)
- Application Information:
- Application deadline: applications accepted on an ongoing basis until position is closed and filled
- This posting is for an existing vacancy
- Reporting to the Senior Engineering Manager, Developer Productivity
As a Senior Software Engineer, Developer Productivity, you'll:
- Design and build the Nest.js service scaffolding that lets product teams stand up new backend services in our next-generation monorepo
- Implement paved paths, generators, and the platform primitives that make a new service work on day one rather than after a week of wiring.
- Build the seams that let new services run independently of our existing monolith.
- Own the deployment story for services and web applications on Cloudflare, and the interoperability with our existing AWS and Kubernetes estate managed through Pulumi and Argo CD.
- Lead migrations of substantial codebases into the monorepo and turn each one into a repeatable recipe rather than a bespoke effort.
- Partner directly with product teams as platform customers, treating their adoption as the measure of success and their friction as your backlog.
- Raise the leverage of the whole team by encoding what you learn into tooling, generators and agent-assisted workflows, so the next migration costs less than the last.
- Participate in engineering citizenship activities such as co-authoring engineering blogs, strengthening our hiring processes, and leading internal hackathon teams.
ABOUT YOU
Requirements:
- BA/BS Degree or equivalent experience
- 5+ years building and operating backend services in production
- Demonstrated experience in backend service design defining service boundaries, contracts and data ownership, not only implementing within them
- Business-level fluency to read, write and speak in English
You'll thrive as a Senior Software Engineer, Developer Productivity, if you:
- Have worked inside a large, heavily-coupled codebase and found the seams: extracting or bypassing functionality incrementally, behind behaviour-preserving contracts
- Are fluent in TypeScript and Node, and comfortable with edge runtimes.
- Have hands-on experience with monorepo tooling at scale (Nx, Turborepo or similar) and understand why build-graph correctness is a product concern rather than a config detail.
- Treat migration work as engineering rather than chores: you budget for the parts that fail silently, verify generated output rather than trusting a green build, and know that bug-for-bug translation beats improvement when the goal is proving nothing changed.
- Enjoy being a platform engineer with real customers — partnering with product teams, adapting the platform to how they actually work rather than requiring them to change, and measuring yourself on their adoption.
- Are comfortable working across cloud boundaries, with a considered view on where a workload belongs and what crossing between clouds costs in latency and spend.
- Communicate decisions in writing well enough that someone can pick up your work from the ticket — and are willing to say plainly when the fast answer and the right answer diverge.
- Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact.
OUR CORE BEHAVIORS
- Build lasting customer trust. We build trust by taking action that puts customer trust first.
- Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act.
- Reinvent ourselves. We don't just improve what exists, we imagine what's possible.
- Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.
BENEFITS
- Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company.
- Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums.
- Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions.
- Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired.
- Wellness for the whole you. Access to mental health resources, therapy and coaching.
- Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally.
- Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life.
- Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.
Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.
BE YOU, WITH US
At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.
STAY CONNECTED
Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.
PLEASE NOTE:
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered.
To join Webflow, you'll need a valid right to work authorization depending on the country of employment.
If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.
Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.
Location: Paris; Amsterdam; Singapore; London; Lausanne
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
ROLE SUMMARY
As a Research Engineer on Forge, you will turn real customer requirements into reliable training and deployment workflows. You’ll work end‑to‑end across model adaptation and post‑training (CPT/SFT/RL/distillation), evaluation, data, and infrastructure. The role bridges research experimentation and production constraints.
This role sits in Applied Science, with direct impact on client outcomes. You’ll collaborate closely with scientists, engineers, product, and customer‑facing teams to ensure Forge projects ship, are maintainable, and can be trusted by others.
Interview focus can vary (algorithms, infrastructure, evals, or data). You don’t need to match every bullet below to apply.
WHAT YOU WILL DO
- Build and improve post‑training and evaluation workflows (CPT/SFT/RL/distillation), turning prototypes into repeatable Forge “recipes”.
- Develop tools and pipelines for synthetic data generation, data curation, training, evaluation, and deployment.
- Debug and harden large‑scale ML systems: distributed training, scheduling/execution, checkpointing, observability, and reproducibility.
- Improve the Forge codebase via clear APIs, tests, documentation, and maintainable abstractions.
- Push the frontier of our RL training stack (e.g., high-throughput async rollout and scalable post‑training systems at frontier-model scale)
- Make sure Forge deployment is seamless and adaptable to a diversity of clients (hardware access, software stack, cloud and on-premises, …)
- Partner with researchers and infrastructure engineers to translate bottlenecks into concrete system improvements.
ABOUT YOU
- Strong Python engineering skills and experience working in large codebases (testing, code review, CI, operational ownership).
- Hands‑on experience with PyTorch, JAX, or similar.
- Strong systems and infrastructure fundamentals.
- Experience with LLM training or post‑training: fine‑tuning, RL, distillation, evaluation, and/or data pipelines.
- Excellent debugging skills in ambiguous systems (distributed jobs, data issues, quality regressions, infra failures).
- Clear communication with technical and non‑technical stakeholders.
- High agency, low ego, and comfort in fast‑moving, under‑specified environments.
NICE TO HAVE
- Distributed training experience (FSDP, DeepSpeed, Megatron, etc.).
- Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.).
- Experience building reliable ML infrastructure, evaluation systems, or large‑scale data processing pipelines.
- Research experience in LLMs, agents, multimodal models, reasoning, code, or domain adaptation.
- Open‑source contributions, publications, or widely used internal tooling.
- Experience training multi‑billion‑parameter models (pre‑training or RL). Experience training on petabyte- and exabyte-scale datasets.
- Ability to identify bottlenecks across the stack and drive improvements from first principles.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional
Senior Software Engineer
to join our
Engineering team
. Garner’s Engineering team tackles incredibly hard technical problems for a mission that truly matters. Our systems analyze billions of medical records to rank healthcare providers across the country. We are an AWS + Kubernetes shop, and we are constantly introducing new technologies as our system load doubles every year. We expect our engineers to champion cutting-edge industry practices as we aggressively embrace AI in every facet of our operations and norms. We are seeking teammates who take pride in delivering their best work while fostering a strong team culture.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Lead technical strategy and decision-making on assigned domains
Use AI to build, optimize, and maintain software systems
Mentor and uplevel early-career engineers
Collaborate across disciplines to understand our domain and iterate on projects
Protect our users’ privacy and security through best practices
The ideal candidate has:
4+ years of software engineering experience
A generalist software engineering mindset ready to learn new languages, frameworks, and techniques required for a fast paced startup environment
Demonstrated ability to build complex systems using AI coding agents (we use Claude Code)
The ability to learn quickly and mentor others
Familiarity with data security and HIPAA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Claude Code, Kubernetes, AWS, Airflow, dlt, dbt, Python, TypeScript, React, Go
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $230,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. This role will report to our VP, Engineering. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
The ideal candidate has:
4+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality)
Expertise in SQL, job experience, and demonstrated strength with Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), datalakes (especially Iceberg), data warehouses (especially Snowflake)
Expertise with SQL tuning, Spark development, medallion and event-driven architectures.
Familiarity with healthcare or insurance
Familiarity with data security and HIPAA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
What you’ll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $220,000.00 - $245,000.00. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: San Jose, California or Remote
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Remote
Annual salary:
USD 190,000– USD 215,000
Final base salary within this range will be determined based on job-related factors, including the candidate’s experience, skills, qualifications, and geographic location.
Type: Full-time
Reports to: General Counsel
About the Role
We're looking for an experienced commercial attorney to lead legal support for Nex's content and partnerships ecosystem - the agreements and relationships that bring games, experiences, and brand collaborations onto the Nex Playground platform. You will be the primary legal partner to our Content, Partnerships, and Business Development teams, negotiating content and IP licensing deals, developer and publishing agreements, and strategic partnerships that grow our content catalog and platform reach. You'll also provide secondary support on our commercial vendor, retail/distribution, and hardware supply chain agreements as needed, in partnership with the GC and outside counsel.
This is a hands-on role for someone who wants to build the playbook for a growing platform business, not just execute one that already exists.
What You'll Do
Content & Developer Agreements
Draft, review, and negotiate developer and publishing agreements for third-party studios and content creators building games and experiences for the Nex Playground platform, including revenue share, IP ownership, quality/certification requirements, and platform terms.
Structure and negotiate Play Pass content licensing and distribution agreements, balancing catalog growth with sustainable economics and IP protection.
Brand & Strategic Partnerships
Lead negotiation of brand and content licensing agreements with entertainment and children's media partners, including royalty structures, approval rights, marketing commitments, and IP/trademark compliance obligations.
Serve as the go-to legal partner to Business Development and Partnerships teams on strategic collaborations, co-marketing arrangements, and platform integrations, functioning as a strategic advisor embedded in partnership planning rather than a late-stage reviewer.
Independently lead complex, multi-party negotiations involving revenue-sharing arrangements, joint go-to-market plans, and cross-promotional commitments.
Commercial, Vendor & Hardware Support (Secondary)
Support retail, distribution, vendor, and marketing agreements as needed, partnering with Legal Operations on templates and process.
Provide secondary review and negotiation support on manufacturing, supply chain, and OEM/ODM agreements alongside the GC and outside counsel.
Partner with Product Counsel to identify commercial, product liability, regulatory, and privacy issues arising from any transaction you touch. Flag privacy/COPPA-relevant terms to Product Counsel, who owns Nex's privacy program and day-to-day privacy advisory work - you are not expected to advise on these substantively yourself.
Cross-Functional Partnership & Process
Build trusted relationships with [Content, Partnerships, Business Development, Product, and Marketing] - you'll be known as the attorney teams want in the room when a deal is taking shape, not just when paper needs signing.
Partner with Legal Operations on intake triage, template design, and CLM workflow design for content, developer, and partnership agreement types.
Manage and coordinate outside counsel on specialized or high-stakes IP, regulatory, or hardware/supply chain matters, with Legal Operations administering the underlying vendor relationship and spend.
Use AI-powered legal tools to accelerate contract review, drafting, and analysis, and help identify opportunities to further integrate AI into the team's workflows.
Contribute to Nex's broader legal function build-out over the next 18 months - templates, policies, and training - as one of the company's early in-house attorneys.
You Might Thrive in This Role If You
Hold a J.D. and active bar membership in good standing (California or another U.S. state, as applicable).
Have 7-10+ years of combined law firm and in-house experience, including meaningful time supporting a content/media partnerships business.
Have direct experience negotiating publishing/content licensing deals; experience with brand/entertainment IP licensing is a strong plus.
Understand partnership economics: how revenue share and attribution work, and how to structure incentives that align interests between Nex and its content and brand partners.
Are comfortable operating in an entrepreneurial environment with little existing precedent. You are proactive, independent, and energized by building rather than maintaining.
Communicate with clarity and business judgment, tailoring advice to enable responsible, fast-moving growth, and are comfortable presenting partnership strategy to business leaders.
Demonstrate sound judgment in ambiguous or fast-changing situations, and can distinguish real risk from theoretical risk.
Are willing and able to flex into commercial, vendor, or hardware-adjacent agreements when the business needs it, even though that's not the core of the role.
Bring genuine curiosity about AI tools and how they're reshaping commercial legal practice.
Nice to Have
Experience at a gaming or consumer content/media company. Experience negotiating with entertainment studios, media brands, or children's content licensors.
Working knowledge of children's privacy frameworks (e.g., COPPA) or international data privacy regimes as applied in a commercial/platform context.
Some exposure to hardware, manufacturing, or supply chain agreements - helpful for the secondary scope of this role, though not the primary focus.
Familiarity with CLM systems (Spotdraft, Ironclad, or similar) from a heavy end-user or template-owner perspective.
What Success Looks Like
[Content, Partnerships, and Business Development] teams have a legal partner they trust to move deals forward quickly and with confidence.
Developer, content, and brand partner agreements are negotiated efficiently, with clear risk framing and business-enabling solutions.
Brand and licensing partnerships are structured to protect Nex's IP and reputation while still closing quickly.
Privacy and platform compliance issues are surfaced early and routed to Product Counsel, not resolved after the fact.
Templates and negotiation playbooks scale with the business so Legal doesn't become a bottleneck as Nex's content and partnership ecosystem grows.
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python and SQL in AWS.
Where you will work:
This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
Protect our users’ privacy and security through best practices
The ideal candidate has:
2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
Expertise in SQL and Python
Expertise in building scalable data pipelines, query optimization, data modeling, and defining reusable datasets
Experience working with orchestration tools (especially Airflow), databases (especially PostgreSQL), data warehouses (especially Snowflake)
Familiarity with SQL tuning, medallion/event-driven architectures, and telemetry.
Familiarity with healthcare or insurance
Familiarity with data security and HIPPA compliance
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
What you'll get here:
You’ll work on problems that matter, at a company working to change healthcare at scale. You’ll work at the intersection of AI and systemic healthcare reform, where the problems we solve are as interesting and compelling as the mission.
At Garner, you’ll take on real, ambitious problems with real ownership and autonomy, alongside exceptional, principles-based people who genuinely want you to win. It’s demanding by design. You’ll be challenged to stretch beyond what you thought possible and receive consistent coaching to help you grow and do the best work of your career. This isn't the right fit for everyone, and that's intentional. The people here are driven by what's at stake for real people, and that's what gives our intensity its purpose.
Technologies we use:
Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $
166,000 - $205,000
. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
leadNew York City, NY; About half of your time will be spent delivering ILT hands-on technical instruction in New York and remotely across European time zones; Deliver hands-on technical instruction across Anthropic’s onboarding, residency, and technical enablement programs, in person in New York and remotely across European time zones; Experience teaching across time zones or to European audiences, including coaching instructors from recorded sessions
Abu Dhabi, UAE
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УдалённоUSA - Remote; Full Stack Data Analyst - GTM (USA Only, 100% Remote)
San Francisco, CA
ГибридMilan, Italy; Biassono, Italy
УдалённоRemote (United States)
УдалённоRemote (Canada)
seniorГеография найма не уточнена
УдалённоseniorArgentina
ГибридParis; Amsterdam; Singapore; London; Lausanne; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
seniorNew York City, New York
seniorNew York City, New York
США; Nex employees may be expected to collaborate with colleagues across different time zones