Location: Home Based - Americas; Home Based - APAC; Home based - EMEA
With
more than 10 billion pulls
, Canonical's container images are trusted by developers worldwide to build and run software securely and at scale. That trust rests on our commitment to
hardened, production-ready
images.
We are advancing the state of the art with a
new generation of Ubuntu-based container images
we call "rocks": minimal images engineered for performance and usability and backed by long-term security commitments. As a member of the team, you will own the path from upstream source to published image, turning open source software into tested, signed, and continuously maintained artifacts that developers can deploy with confidence.
This is fast-paced, multi-disciplinary software engineering. Because most of the software we package originates from third-party upstreams, you will work across a broad range of container technologies and hundreds of open source projects, often in several programming languages, integrating and maintaining them so they are easy to consume on Ubuntu. Automation is central to the role: you will build the pipelines that package, build, test, and publish images at scale.
Your seniority in this role will reflect your software engineering experience and your ability to mentor and guide more junior colleagues.
Location:
This is a globally remote role
This role entails
Build and maintain a growing portfolio of high-quality, hardened container images
Design and operate automated CI/CD pipelines that build, test, scan, sign, publish, promote, and retire images across environments and architectures
Write tooling and tests to assess security compliance and cloud-native compatibility
Work closely with the community and partners to share container expertise and keep our portfolio current with new features, patches, and applications
Collaborate with our product security, platform, infrastructure, and customer-facing teams
Contribute technical input to the team's decision-making
Set the standard for quality, defining image standards that span security, compatibility, performance, size, and developer experience
Grow our knowledge base and write about the work we do
Work in a collaborative, agile, and globally distributed environment
Mentor colleagues and contribute to hiring
Work from home with global travel of up to 15% for internal and external events
What we are looking for in you
Proficiency in Bash and Python
Experience working with CI/CD systems (e.g. GitHub Actions, Jenkins)
Experience building container images
Command of at least one container management or orchestration tool (e.g. Docker, Podman, or Kubernetes)
Hands-on experience with Linux systems, package management, build systems, release engineering, or artifact pipelines
Clear communication and end-to-end ownership, spanning design, review, documentation, operation, and cross-team collaboration
A commitment to sharing knowledge and helping those around you grow
A genuine appetite for learning and for working outside your comfort zone
A Bachelor's degree or equivalent in Computer Science, a STEM field, or a similar discipline
An exceptional academic track record from both high school and university
Business level written and spoken English.
Sincere personal motivation aligned with our mission.
International travel 2-4 times a year for company events up to two weeks long.
0-7 years relevant experience.
In addition we expect that you will match our values, by being:
Precise, taking care to deliver correctness and clarity.
Reliable, delivering high quality work that builds trust and confidence.
Accessible, collaborating to build products and systems that are usable.
Adroit, blending enthusiasm, knowledge, adaptability, style and character.
Nice-to-have skills
A security-oriented maintenance mindset: you can investigate dependency and vulnerability findings, assess their impact, and deliver a safe fix
An understanding of software supply chain security, with some experience generating and consuming artifacts such as SBOMs, signatures, provenance, or CVE reports
Familiarity with GitOps principles and workflows
Familiarity with additional languages such as Go or Rust
Hands-on experience building minimal and distroless container images
Knowledge of the OCI specifications
Familiarity with security or compliance frameworks such as CIS, NIST, FedRAMP, or DISA STIG
Evidence of contributions to open source projects
A passion for embedding security across all stages of the engineering lifecycle (DevSecOps), and an interest in using AI or agentic development responsibly and safely
Relevant Linux, container, or cloud-native certifications (such as CKS or DCA) are welcome
If your experience is close but does not match every requirement, we encourage you to apply. We value transferable experience from Linux packaging, release engineering, build systems, platform engineering, and open-source maintenance.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person
Personal learning and development budget of USD 2,000 per year
Bi-annual compensation review
Company recognition rewards
40 days annual leave per annum, including public holidays and our All Company holiday periods
Maternity and paternity leave
Team Member Assistance Program & Wellness Platform
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration
.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Strategic Account Executive at Anthropic, you'll drive the adoption of safe, frontier AI by securing strategic deals with top enterprises across key industry verticals, unlocking new value streams throughout their business. You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to customers, helping them embed and deploy AI while uncovering its full range of capabilities. In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across key industry verticals.
The ideal candidate will have a passion for developing industry-specific market segments, pinpointing high-potential opportunities within key industry verticals, and executing strategies to capture them. By driving deployment of Anthropic's emerging products, you will help enterprises obtain new capabilities while also advancing the ethical development of AI.
Responsibilities:
Win new business and drive revenue within a book of strategic industry accounts. Own the full sales cycle from prospecting to close, identifying and developing new opportunities across multiple business units and use cases within key industry verticals
Navigate complex organizational structures and build consensus among diverse stakeholder groups. Develop multi-threaded relationships from individual contributors to C-suite executives across industry enterprises
Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze your industry accounts' landscape, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns
Spearhead expansion by pinpointing new use cases and business units within key industry verticals. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge within your strategic industry accounts
Own sophisticated deal cycles involving multiple stakeholders, technical evaluations, and complex procurement processes. Demonstrate resourcefulness when faced with challenges that defy easy solutions
Build and maintain accurate pipeline forecasting while ensuring high forecast accuracy and consistency. Identify a robust set of business drivers behind all opportunities
Inform product roadmaps and features by gathering customer feedback and conveying key industry market needs. Provide insights that strengthen our value proposition and enhance the customer experience within industry verticals
Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency across key industry verticals
You may be a good fit if you:
10+ years of enterprise sales experience with a proven track record of closing complex deals with strategic accounts. Experience managing sophisticated sales cycles and securing deals with extended timelines and multiple stakeholders across key industry verticals
Experience selling emerging technologies or complex solutions to large industry enterprises. Ability to navigate technical evaluations and translate complex capabilities into business value for industry-specific use cases
Strong executive presence with demonstrated ability to engage C-suite executives and senior stakeholders. Experience presenting to boards and aligning solutions with strategic business initiatives within key industry verticals
Exceptional relationship building skills with proven ability to develop multi-threaded relationships across large organizations. Experience building consensus among diverse stakeholder groups in industry environments
Consultative sales approach with a focus on understanding customer business challenges and crafting tailored solutions. Ability to position yourself as a strategic advisor rather than a vendor within key industry verticals
Strong cross-functional collaboration skills with an ability to mobilize internal resources including product, engineering, and partnership teams. Experience coordinating complex deals that require multiple internal stakeholders
Resourcefulness and problem-solving abilities when faced with complex challenges. Demonstrated ability to navigate ambiguous situations and find creative solutions
High level of organization and attention to detail with strong forecasting accuracy. Ability to manage multiple complex opportunities simultaneously
Passion for AI and emerging technologies with enthusiasm for helping industry organizations transform through responsible AI deployment. Strong alignment with Anthropic's mission of developing safe, beneficial AI systems
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
Workplace: Remote
Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide.
Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/!
We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm.
This role is fully remote; however, we’re only open to candidates based in the US, EU and UK.
RESPONSIBILITIES
- SDLC Infrastructure Ownership: Own and evolve CI/CD infrastructure using GitHub Actions and Kubernetes, with a focus on reliability, scalability, and developer velocity.
- Mobile Release Automation: Automate release workflows including building, signing, and distributing binaries and managing app store submissions across iOS, Android, and Chrome.
- e2e Test Automation: Oversee and improve automated end-to-end testing with Maestro and Playwright across mobile and web.
- CI/CD Optimization: Improve pipeline performance, reliability, and observability to support rapid, high-confidence releases.
- Developer Experience: Partner with engineering teams on SDLC and DevEx improvements, including preview environments and tooling such as Appetize.
- Security & Compliance: Help ensure build, release, and deployment systems meet the security and compliance expectations of a financial product.
- Technical Leadership: Set standards and drive improvements across build, test, release, and deployment workflows, partnering closely with product and engineering teams.
QUALIFICATIONS
- 8+ years of experience in DevOps, Platform Engineering, SRE, Systems Engineering, or a related role, with experience operating at a senior or staff level.
- Strong experience with AWS and CI/CD systems such as GitHub Actions or GitLab CI.
- Strong experience with Docker, Kubernetes, and Infrastructure-as-Code tools such as Terraform or Pulumi.
- Experience supporting CI/CD and release infrastructure for production mobile applications, including iOS and Android.
- Experience working in financial services, fintech, or another environment with meaningful security and compliance requirements.
- Strong track record of improving developer workflows and partnering across engineering teams.
- Nice-to-have: Experience with React Native and/or Expo, mobile preview environments, or Appetize.
- Nice-to-have: Blockchain/crypto experience.
Why Work With Us
Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.
- Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
- Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless.
- Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation.
Benefits (only available to full-time employees)
- Competitive salary and equity
- Comprehensive insurance (medical/dental/vision): base plan 100% covered
- Flexible hours and a long-standing, supportive remote environment
- Unlimited vacation: Take time when you need it (and we really mean it!)
- 401(k) retirement plan
- Wellness stipend
- Weekly meal stipend
- Learning & Development stipend
- Remote / WFH set-up stipend
We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career.
By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.
Location: Bellevue
Workplace: OnSite
LIFE AT UIPATH
The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power.
To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose.
Could that be you?
Your Mission
At UiPath, we believe the next generation of software won't simply automate tasks—it will reason, plan, adapt, and act autonomously.
As a Principal Applied Scientist, you'll help invent that future.
You will lead the research and development of frontier AI systems that combine foundation models, multimodal reasoning, agentic workflows, and post-training techniques to build autonomous software capable of operating enterprise applications like a human.
This is an individual contributor leadership role for scientists who enjoy building. You'll work at the intersection of applied research and production engineering—designing new algorithms, training and evaluating large models, developing novel post-training methods, and shipping systems that reach enterprise customers.
If you're passionate about pushing the limits of LLMs, multimodal models, reasoning, planning, tool use, and AI agents—and you enjoy transforming research into products—this is the role for you.
About the Team
Our Advanced Machine Learning organization is building large multimodal foundation models capable of understanding enterprise software, reasoning over complex workflows, planning long-horizon tasks, and autonomously interacting with digital systems.
Our work spans:
- Foundation models
- Agentic AI
- Multimodal reasoning
- Reinforcement learning
- Post-training
- Model alignment
- Evaluation systems
- Enterprise AI agents
Our mission is to advance practical general intelligence for enterprise automation.
What You'll Do
- Lead research and development of large-scale foundation models and agentic AI systems for enterprise automation.
- Design novel approaches for post-training, model alignment, reinforcement learning, preference optimization, and synthetic data generation.
- Develop scalable evaluation frameworks that measure reasoning, tool use, planning, and autonomous task completion.
- Build production-quality AI systems that combine LLMs, multimodal models, retrieval, planning, memory, and external tool use.
- Drive innovations in long-context reasoning, workflow generation, autonomous software interaction, and multi-agent orchestration.
- Design large-scale experiments, analyze model behavior, and iterate using data-driven evaluation.
- Collaborate closely with engineering and product teams to transition research into production systems.
- Mentor scientists and engineers while raising the technical bar across the organization.
- Influence UiPath's long-term AI strategy through technical leadership and scientific innovation.
What We're Looking For
We're looking for scientists who have successfully taken frontier AI research from idea to production.
The ideal candidate has deep expertise in several of the following:
- Foundation model training
- LLM post-training
- Reinforcement Learning from Human Feedback (RLHF)
- Preference optimization (DPO, PPO, GRPO or similar methods)
- Reward modeling
- Synthetic data generation
- Model evaluation
- Agentic reasoning
- Tool use
- Function calling
- Long-horizon planning
- Multimodal learning
- Retrieval-Augmented Generation (RAG)
- Distributed training and inference
- Large-scale PyTorch systems
- Model alignment and safety
Preferred Experience
- PhD or equivalent research experience in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Robotics, or a related discipline.
- Significant experience building and deploying production AI systems based on large language models or multimodal foundation models.
- Demonstrated ownership of end-to-end ML systems—from research and experimentation through production deployment.
- Strong programming skills in Python and deep experience with modern ML frameworks such as PyTorch.
- Experience training or fine-tuning large models using distributed compute infrastructure.
- Strong publication record or demonstrated technical leadership in applied AI is highly valued.
- Excellent communication skills and the ability to influence technical direction across organizations.
Technologies We Work With
While experience with every technology is not expected, many members of our team work with:
- PyTorch
- JAX
- CUDA
- vLLM
- Ray
- DeepSpeed
- FSDP
- Triton
- LangGraph
- Semantic Kernel
- MCP
- Vector databases
- Kubernetes
- Azure AI
- Hugging Face
- Distributed GPU training infrastructure
You'll Thrive Here If You...
- Love building AI systems—not just publishing papers.
- Enjoy tackling ambiguous, first-principles problems.
- Are excited by rapidly evolving research.
- Think deeply about evaluation as much as modeling.
- Care about elegant engineering as much as novel algorithms.
- Want your research to power products used by millions of people.
#LI-MH1
Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned.
Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected.
We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.
Location: USA
Workplace: Remote
We are seeking experienced US registered nurses to review and assess AI-generated responses from a health coaching agent, with a focus on safety, regulatory compliance, and clinical content accuracy.
You will work asynchronously on a dedicated review platform, performing short, structured evaluations to help train and refine AI models for patient-facing health guidance.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES:
- Structured Grading: Score AI agent responses against a pre-defined rubric, applying the highest-priority criteria consistently across a large volume of items.
- Safety Review: Identify responses that could cause patient harm missed red flags, unsafe advice, failure to escalate or signpost to care.
- Clinical Accuracy: Assess factual correctness, completeness and guideline alignment of clinical content.
- Written Feedback: Provide brief, specific rationale for each failed response and general guidance on how it could be improved.
QUALIFICATIONS
- Licensure: Active RN license for US
- Experience: Minimum 2 years of clinical nursing practice.
- Knowledge: Strong grounding in clinical guidelines, patient safety and scope-of-practice boundaries.
- Attention to detail: Proven accuracy and consistency in clinical documentation or review work.
- Technical proficiency: Comfortable using structured review tools and digital platforms.
- Language: Native or near-native written English.
LEGAL STATUS
- You will have the right to work in your country of residence.
- You will work as an independent contractor.
WHY JOIN US?
- Flexible Work Arrangements: Part-time, remote and fully asynchronous.
- Competitive Compensation: Hourly rate
- Professional Development: Hands-on experience in AI evaluation and model fine-tuning, shaping how AI is deployed in patient care.
Location: Europe; Paris; London
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
About the role
ElevenLabs is expanding globally, and some of our largest enterprise opportunities are won through complex procurement processes. We're building the RFP Engine to own how we compete in them — a new function at the heart of how ElevenLabs pursues its most strategic deals. As a Proposal Manager, you'll be one of its founding members, owning strategic pursuits in your region from qualification through submission: decoding what evaluators actually want, shaping the response strategy with account teams, coordinating input across sales, solutions engineering, legal, and security, and driving every submission to an exceptionally high bar — on time, every time.
You'll run pursuits through an AI-first system and help make it better with every cycle. Automation handles the mechanical work — first drafts, compliance checks, content retrieval — so your judgment goes where it matters: positioning, differentiation, and quality. When you spot work being repeated, you'll help systematise it, turning what you learn on each bid into templates, content, and process the whole company benefits from.
We think the right person has lived complex enterprise bids and knows the difference between a compliant response and a winning one. You write and edit exceptionally well, you're calm and decisive coordinating many contributors against a hard deadline, and you'd rather build the machine than crank the handle.
Requirements
- A track record managing complex enterprise RFP or bid responses end-to-end, from qualification through submission, ideally at a technology company
- A builder's approach to AI and automation: you use AI fluently in your own work, you've shipped internal tooling or workflows (or partnered closely with engineers to do so), and you treat repeated manual effort as a design flaw
- Exceptional writing and editing: you turn technical and commercial input from many contributors into clear, compliant, persuasive responses
- Strong project management under deadline pressure — running contributors, review cycles, and sign-offs across functions and timezones without dropping quality
- Commercial instincts: you can read scoring criteria, spot what will differentiate a response, and flag pursuits that aren't worth the effort
Bonus: additional languages beyond English; experience with security or compliance questionnaires; a technical or pre-sales background.
Growth Potential
We believe in hiring the best talent in the world to look make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
- Leading regional proposals capacity as pursuit volume grows across markets
- Specialising in bid strategy on our most strategic global pursuits
Location
We're hiring for this role in two regions. This role is remote-first and can be executed from any of our hub cities in EMEA. If you prefer, you can work from our growing number of offices, including in London, Dublin, Madrid or Warsaw.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Dubai; United Arab Emirates; Riyadh
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
ABOUT THE ROLE
We are building a Government Affairs and Public Policy (GAPP) team with the ambition and expertise to help shape one of the world's most dynamic environments for artificial intelligence and digital innovation.
As our Government Affairs Lead for the Middle East, you will help establish and strengthen Cohere's presence across the United Arab Emirates, the Kingdom of Saudi Arabia, and the other Gulf Coast countries ensuring the company's voice contributes to the development of AI policy, digital transformation, public-sector innovation, procurement, and economic diversification initiatives.
This is an exciting opportunity for an experienced government affairs professional who thrives at the intersection of government, technology, and public policy, and who wants to help position Cohere as a trusted partner supporting the region's ambitions to become a global leader in artificial intelligence.
You will work alongside experienced policy leaders, collaborate closely with senior executives, and contribute directly to Cohere's strategic growth across two of the world's fastest-growing AI markets.
KEY RESPONSIBILITIES:
- Report directly to Cohere's Head of EMEA Government Affairs & Public Policy, partnering closely with senior leadership, legal, public policy, responsible AI, communications, and commercial teams to develop and execute Cohere's government affairs and stakeholder engagement strategy across the UAE and the Kingdom of Saudi Arabia.
- Serve as Cohere's primary government affairs representative across the region, building trusted relationships with ministries, regulators, government authorities, public-sector organizations, sovereign entities, and innovation agencies.
- Monitor and assess legislative, regulatory, and public policy developments affecting artificial intelligence, cloud computing, data governance, cybersecurity, digital infrastructure, and emerging technologies across the region.
- Support policy advocacy by developing consultation responses, policy submissions, briefing materials, executive talking points, and stakeholder engagement strategies related to AI regulation, digital economy initiatives, technology policy, and public procurement.
- Partner closely with commercial and public sector sales teams to support business development opportunities across government, financial services, telecommunications, energy, and other regulated industries.
- Collaborate with communications, marketing, and public relations teams to ensure consistent and effective messaging regarding Cohere's approach to responsible AI, innovation, and technology policy.
- Represent Cohere in industry associations, public-private partnerships, conferences, and policy forums across the Middle East.
- Develop and manage relationships with external government affairs consultants, advisors, and trade associations across the region.
- Ensure all government engagement, lobbying, and political activities are conducted in full compliance with applicable local laws, regulations, and company policies.
- Contribute to broader regional government affairs initiatives across the GCC and support cross-functional projects involving international stakeholders.
QUALIFICATIONS
- 7+ years of experience in government, a ministerial office, public policy, diplomacy, public-sector consulting, regulatory affairs, corporate government affairs, or a leading industry association.
- Strong understanding of the policymaking, regulatory, and public-sector landscape in either the United Arab Emirates or the Kingdom of Saudi Arabia, with the ability to quickly develop expertise across both markets.
- Experience building trusted relationships with senior government officials and public-sector stakeholders.
- Familiarity with AI policy, digital transformation, innovation policy, cloud technologies, public procurement, or technology regulation.
- Excellent written and verbal communication skills in English. Professional proficiency in Arabic is highly desirable.
- Strong analytical skills with the ability to translate complex policy developments into clear business implications and actionable recommendations.
- A collaborative mindset and the ability to work effectively across international, cross-functional teams spanning multiple time zones.
- An entrepreneurial, self-starter mentality with excellent stakeholder management and project execution skills.
- Passion for artificial intelligence, emerging technologies, and the opportunity to help shape the policy environment supporting responsible AI adoption.
- An undergraduate degree in political science, international relations, public policy, law, business, economics, or a related field (or equivalent practical experience).
PREFERRED QUALIFICATIONS
- Professional proficiency in Arabic.
- Existing relationships with government stakeholders in both the UAE and Saudi Arabia.
- Experience engaging with GCC institutions or regional organizations.
- Experience in enterprise software, cloud computing, artificial intelligence, or another emerging technology sector.
- Experience supporting government procurement, digital transformation, or national AI initiatives.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: England; United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
The Secure Build team builds and operates the infrastructure behind Docker's container builds. The team owns Docker Build Cloud and Auto Builds while developing the next generation of trusted build and CI capabilities.
Software is being changed faster than ever, but CI remains a bottleneck and a major trust boundary. Developers and software agents need to run build and test work quickly without exposing secrets, losing local-to-cloud parity or accepting an unverifiable result. Our direction is to make Docker the trusted place CI runs and turn that constraint into an accelerator.
The technical work spans Go services, container and build technology, cloud infrastructure, isolated execution and software supply-chain security. It also requires disciplined operation of the production systems customers rely on today. Docker Build Cloud and Auto Builds will need targeted reliability and operational improvements while useful capabilities evolve towards a coherent Secure Build platform.
As a Senior Software Engineer, you will turn these problems into practical product and technical outcomes. You will own substantial work from discovery and design through production, make sound security and reliability trade-offs, and stay close to the experience of developers and the agents they delegate work to.
We make extensive use of AI-assisted engineering tools. We expect engineers to use them thoughtfully, validate their output and remain accountable for the quality and security of what ships.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by becoming an end-to-end owner for secure, reliable build infrastructure. Within your first year, you should have delivered a material secure-build or CI capability, reduced operational risk in Docker Build Cloud or Auto Builds, and become a trusted partner to the teams and customers that consume the platform.
_______________________________________________________________________
RESPONSIBILITIES
- Turn developer, agent and security problems into clear requirements, staged technical decisions and measurable outcomes.
- Design, build and operate Go services and APIs that power Docker's build and secure-CI infrastructure.
- Develop isolation, identity, policy, provenance, attestation and signing capabilities for trusted build and test jobs.
- Work with container, OCI, BuildKit, cloud and isolated-execution technologies to deliver secure and reproducible workflows.
- Own features from technical design through rollout, observability, incident response and ongoing maintenance.
- Keep Docker Build Cloud and Auto Builds reliable, make targeted improvements that reduce operational load, and help their capabilities evolve towards the wider Secure Build direction.
- Make practical security trade-offs and use threat modelling to guide designs without blocking delivery.
- Design for a clear developer experience, including workflows initiated or consumed by software agents.
- Partner with Product, Security, Developer Experience, Registry and other platform teams on end-to-end customer workflows.
- Participate in the team's paid on-call rotation and drive improvements from incidents and recurring operational work.
- Communicate decisions, risks and progress clearly in a remote, async-first environment.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 6+ years of software engineering experience, with demonstrated technical leadership on production systems at scale.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- Strong backend engineering experience building and operating distributed systems in production.
- Production experience with Go and the ability to write, test, review and debug maintainable Go services.
- Experience with containers and build or CI systems, such as OCI, BuildKit, Buildx, GitHub Actions or comparable platforms.
- Experience with cloud-native infrastructure and a major cloud platform.
- A strong operational mindset covering observability, reliability, incident response and on-call ownership.
- Evidence of taking a feature or service from an ambiguous problem through production operation and measurable results.
- Working knowledge of security boundaries, identity, secrets and common software supply-chain risks.
- A strong product mindset and care for developer workflows, including experiences used by software agents.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Experience with Kubernetes.
- Experience with SLSA, in-toto, SBOM, VEX, Sigstore, cosign, provenance or artefact signing.
- Experience with sandboxing, microVMs, untrusted workload execution or multi-tenant infrastructure.
- Experience building hosted CI runners, remote builders or developer-platform infrastructure.
- Experience with agentic development workflows or building systems used programmatically by software agents.
- Experience evolving a legacy production system while delivering new capabilities.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Docker Build Cloud, Auto Builds and the Secure Build product and technical direction.
- Pair with the Secure Build team on core services, deployments and operational practices.
- Ship a useful production change and take part in an operational review or incident-learning session.
- Understand the secure-CI threat model and build relationships with DHI, Registry and Developer Experience.
FIRST 90 DAYS
- Own a secure-build feature or reliability improvement from problem definition through production.
- Contribute materially to the secure-CI architecture, including isolation, identity, policy or signed evidence.
- Deliver an observable improvement to the reliability or operability of an existing build service.
- Demonstrate strong product judgement across developer and agent workflows.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted senior technical owner on the Secure Build team.
- Deliver a material secure-CI or trusted-build capability used by customers or internal product teams.
- Improve the reliability and maintainability of Docker Build Cloud and Auto Builds while helping their useful capabilities converge with the wider platform.
- Contribute to the team's architecture for isolated execution, brokered access and verifiable build outcomes.
- Help establish strong product, design, review and operational practices as the team grows.
Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
Europe: €94,040 – €155,650 base
United States: $160,900 – $260,700 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
Cloud providers and Systems Integrators help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind that ecosystem.
You'll build the reference architectures, integration patterns, and enablement programs that make partner motions work technically: co-sell with cloud hyperscalers, and independent delivery capability at systems integrators and global systems integrators (GSIs). You build with and for a partner, whose technical team then takes what you built to dozens of their own clients.
About the role
AWS, Google Cloud, and Microsoft Azure help LangChain reach customers that our direct sales and customer engineering teams can't reach on their own. This role is the technical foundation behind those cloud alliances.
You'll build the reference architectures, integration patterns, and co-sell assets that make our cloud motions work technically. That covers marketplace listings and private offers, joint solutions with cloud field teams, and technical wins on named accounts. You build with and for each cloud provider, and their partner and field teams then take what you built to many of their own customers. When a cloud deal involves a services partner, you make sure that partner can deliver on LangChain.
Key responsibilities
Cloud partner engineering (AWS, GCP, Azure)
- Own the technical relationship with partner and field teams at AWS, Google Cloud, and Microsoft Azure
- Build reference architectures and integration patterns for running LangChain, LangGraph, DeepAgents and LangSmith on each cloud, including integrations with each provider's native AI and data services (for example Amazon Bedrock, Gemini Enterprise, AzureAI)
- Support the technical side of co-sell: joint solution briefs, deployment guides, and validated architectures that cloud sellers can bring to their customers
- Partner with cloud account teams on solutioning for named accounts, from discovery through technical win
- Keep our marketplace listings, deployment options, and co-sell technical assets current as the product evolves
- Enable cloud field and partner teams through workshops, demos, and technical briefings so they can position LangChain without pulling in our engineers for every deal
- Build and maintain joint technical plans with each cloud provider, turning shared account and industry priorities into a concrete set of reference assets
Marketplace motions with services partners
- Support systems integrators and resellers when they're part of a cloud deal, such as marketplace private offers transacted through a channel partner or joint deployments on a customer's cloud
- Give those partners the technical assets they need to scope and deliver LangChain on AWS, GCP, or Azure, using existing reference architectures and implementation guides rather than a standalone enablement program
Partner technical evangelism and feedback
- Serve as a technical escalation point for complex deployments sourced through cloud partners
- Represent LangChain at cloud provider events, summits, and joint webinars
- Gather feedback from cloud partners and the field, and route it back to product and engineering
What we're looking for
7+ years of experience in a technical, partner-facing or customer-facing role such as Partner Engineer, Partner Solutions Architect, Solutions Architect, or Sales Engineer. Experience at or alongside a hyperscaler is a strong plus. We also like former founders and technical leaders, so if you have an unusual background but the right skill set, you're welcome to apply.
Cloud and partner experience
- Track record of working with AWS, Google Cloud, or Microsoft Azure partner and field teams to drive co-sell, from joint solution design through technical win
- Familiarity with cloud marketplace mechanics such as listings, private offers, and channel partner offers, and with hyperscaler co-sell programs
- Experience enabling a partner's field or technical teams so they can position and deploy a product without depending on you for every deal
- Comfortable working across engineering, partnerships, and sales at the same time
- Strong presentation and technical communication skills, able to translate between technical and business stakeholders, including C-suite executives
Agent engineering and development
- Hands-on experience building with LLM frameworks such as langchain, langgraph, or similar, including RAG patterns and agent architecture
- Experience designing evaluation frameworks and iterating on prompts and agent behavior based on results
- Strong Python skills
Cloud architecture and integration
- Deep working knowledge of at least one of AWS, GCP, or Azure, and familiarity with the other two. Strong background in GCP or Azure preferred.
- Hands-on experience with cloud AI platforms and managed model services
- Experience designing integrations, sample repositories, or reference architectures that other teams can pick up and reuse
- Familiarity with vector stores, tool integration, and API design in agentic systems
Key attributes
- You build credibility with a cloud provider's technical and field teams and act as their trusted advisor on LangChain
- Building and evangelizing are both part of the job. You're equally comfortable writing an integration and presenting it at a cloud summit
- You build assets that scale. A reference architecture should work across every cloud account team, not only the one in front of you
- You're comfortable with variety. AWS, GCP, and Azure each have their own programs, sellers, and ways of working, and switching between them doesn't throw you off
LOCATION:
San Francisco
COMPENSATION:
$185K to $225K
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: District of Columbia
Workplace: onsite
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
As an AI Solutions Architect for Console, you are the technical engine behind Filevine's defense pursuits. This is a deeply technical pre-sales role: rather than demonstrating a fixed product, you will configure and build against development requirements and specific mission use cases, working hand in hand with our forward engineering team to stand up demo environments. You will gather and translate mission requirements into technical direction, shape what gets built to demonstrate capability, and then demonstrate that capability to technical and operational evaluators.
You will work to determine the customer's mission need and the engineering effort that meets it. This role requires deeper engineering and product experience than a traditional sales engineer: you must be able to reason about architecture, data, and AI systems, translate ambiguous mission problems into buildable requirements, and move fast in a development-driven environment. We are building a small, elite team of AI Solutions Architects to attack the defense AI market, and this role is where mission requirements become demonstrated capability.
Responsibilities:
Gather and translate mission requirements
working with DOD customers and Account Executives to turn ambiguous operational problems into clear, buildable technical requirements and use cases.
Support requirements identification and shaping
partnering with capture and product teams to identify emerging mission requirements early and shape them ahead of a formal solicitation.
Configure and build against development requirements
standing up Console demo environments tailored to specific mission use cases — going well beyond a fixed demo script to prove the capability the customer actually needs.
Partner directly with forward engineering
supporting and directing the engineering effort that builds demo environments and prototype capability, and serving as the bridge between customer need and what gets built.
Demonstrate capability to technical and operational evaluators
running credible, mission-relevant demonstrations that show Console solving the problem in the customer's context.
Serve as the technical advisor throughout the pursuit
answering deep technical questions, resolving roadblocks, and supporting technical validation, security questionnaires, and the technical portions of responses.
Support RFPs with demos and documentation
building demo assets and writing the technical narrative and supporting documentation that go into RFP and RFI responses.
Work hand in hand with Account Executives
providing the technical proof that moves defense deals past evaluation and into pilot or production.
Reason about architecture, data, and AI systems
advising on how Console integrates and operates within the customer's environment, including classified and air-gapped constraints.
Feed customer feedback to product teams
feeding mission requirements and field insight back to product and engineering to shape what Console becomes.
Partner with strategic pursuit teams
working closely with Sales, Proposals, Partnerships, and other strategic teams to align technical strategy with the broader pursuit.
Qualifications:
6+ years in a deeply technical role — AI Solutions Architect, Sales Engineer, Forward Deployed Engineer, or a software engineering / technical product role — with meaningful hands-on engineering or product depth.
Strong proficiency in at least one of:
data migration (ETL, SQL, Python/JavaScript), REST APIs and webhook integrations, or cloud platforms (AWS, Azure) and database management.
Demonstrated ability to configure and build against development requirements — you can turn a use case into a working, demonstrable solution, not just present a fixed demo.
Experience translating ambiguous, mission-driven problems into clear technical requirements that an engineering team can build against.
Strong technical foundation: the ability to reason about architecture, data, integration, and AI/LLM systems, and to work credibly alongside engineers.
Experience building or deploying systems powered by LLMs or generative/agentic AI, and an understanding of how model behavior shapes the solution.
Deep understanding of the DOD/national-security customer — how mission owners and program offices operate — and the ability to speak their language.
Comfort operating in a fast-moving, development-driven environment, working directly with forward engineering and Account Executives.
A conceptual, driven, deeply technical operator who can move from requirement to demonstrated capability fast.
Who We're Looking For
We are building an elite strike team to win the defense AI market — conceptual, driven, deeply technical operators. The Console AI Solutions Architect is where mission requirements become demonstrated capability: the person who translates the problem, works with forward engineering to build the proof, and shows the customer what Console can do. This is a rare chance to build defense AI capability at the ground floor of a market we are creating.
Compensation Information: $120,000 - 170,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation:This role is based in our Ballston, VA location, and expected to be onsite 5 days/week.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com
Location: District of Columbia
Workplace: onsite
Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform—where modern legal work happens with clarity and consistency.
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine’s rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.
Role Summary:
As an AI Solutions Architect for Filevine Federal, you are the technical engine behind Filevine's federal civilian pursuits. This is a deeply technical pre-sales role: rather than demonstrating a fixed product, you will configure and build against agency requirements and specific use cases across Filevine's platform — Console included — working hand in hand with our forward engineering team to stand up demo environments. You will gather and translate agency requirements into technical direction, shape what gets built to demonstrate capability, and then demonstrate that capability to technical and program evaluators.
You will work directly with agency POCs to define the customer's agency need and the engineering effort that meets it. This role requires deeper engineering and product experience than a traditional sales engineer: you must be able to reason about architecture, data, and AI systems, translate ambiguous agency problems into buildable requirements, and move fast in a development-driven environment. We are building a small, elite team of AI Solutions Architects to win the federal civilian AI market, and this role is where agency requirements become demonstrated capability.
Responsibilities:
Gather and translate agency requirements
working with federal civilian agency customers and Account Executives to turn ambiguous operational problems into clear, buildable technical requirements and use cases.
Support requirements identification and shaping
partnering with capture and product teams to identify emerging agency requirements early and shape them ahead of a formal solicitation.
Configure and build against development requirements
standing up demo environments across Filevine's platform — Console included — tailored to specific agency use cases, going well beyond a fixed demo script to prove the capability the customer actually needs.
Partner directly with forward engineering
supporting and directing the engineering effort that builds demo environments and prototype capability, and serving as the bridge between customer need and what gets built.
Demonstrate capability to technical and operational evaluators
running credible, agency-relevant demonstrations that show Filevine solving the problem in the customer's context.
Serve as the technical advisor throughout the pursuit
answering deep technical questions, resolving roadblocks, and supporting technical validation, security questionnaires, and the technical portions of responses.
Support RFPs with demos and documentation
building demo assets and writing the technical narrative and supporting documentation that go into RFP and RFI responses.
Work hand in hand with Account Executives
providing the technical proof that moves federal civilian deals past evaluation and into pilot or production.
Reason about architecture, data, and AI systems
advising on how Filevine's platform, including Console, integrates and operates within the customer's environment, including FedRAMP and agency-specific security and compliance constraints.
Feed customer feedback to product teams
feeding agency requirements and field insight back to product and engineering to shape what Filevine's federal platform becomes.
Partner with strategic pursuit teams
working closely with Sales, Proposals, Partnerships, and other strategic teams to align technical strategy with the broader pursuit.
Qualifications:
6+ years in a deeply technical role — AI Solutions Architect, Sales Engineer, Forward Deployed Engineer, or a software engineering / technical product role — with meaningful hands-on engineering or product depth.
Strong proficiency in at least one of:
data migration (ETL, SQL, Python/JavaScript), REST APIs and webhook integrations, or cloud platforms (AWS, Azure) and database management.
Demonstrated ability to configure and build against development requirements — you can turn a use case into a working, demonstrable solution, not just present a fixed demo.
Experience translating ambiguous, agency-driven problems into clear technical requirements that an engineering team can build against.
Strong technical foundation: the ability to reason about architecture, data, integration, and AI/LLM systems, and to work credibly alongside engineers.
Experience building or deploying systems powered by LLMs or generative/agentic AI, and an understanding of how model behavior shapes the solution.
Deep understanding of the federal civilian customer — how agency program offices and procurement processes operate — and the ability to speak their language.
Comfort operating in a fast-moving, development-driven environment, working directly with forward engineering and Account Executives.
A conceptual, driven, deeply technical operator who can move from requirement to demonstrated capability fast.
Who We're Looking For
We are building an elite team to win the federal civilian AI market — conceptual, driven, deeply technical operators. The Filevine Federal AI Solutions Architect is where agency requirements become demonstrated capability: the person who translates the problem, works with forward engineering to build the proof, and shows the customer what Filevine can do. This is a rare chance to build federal civilian AI capability at the ground floor of a market we are creating.
Compensation Information: $110,000 - $140,000
The base salary range represents the low and high end of the salary range for this position. The total compensation package for this position will be determined by each individual’s location, qualifications, education, work experience, skills and performance. We believe in the importance of pay equity - the range listed is just one component of Filevine’s total compensation package for employees. This position is also eligible for a paid time off policy, as well as a comprehensive benefits package.
Work Location Expectation:This role is based in our Ballston, VA location, and expected to be onsite 5 days/week.
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
Privacy Policy Notice
Filevine will handle your personal information according to what’s outlined in our Privacy Policy.
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
Filevine is an Equal Opportunity Employer. Qualifications for employment, promotion and other terms and conditions of employment are based upon the ability to perform the job. Equal-employment opportunities are provided to all applicants and employees without regard to race, creed, religion, color, age, national origin, sex, disability, veteran status, or other legally protected class. Filevine is committed to providing reasonable accommodations for qualified individuals with disabilities. If you need assistance or accommodation due to disability, or if you have concerns related to Filevine’s equal employment opportunities, you may contact us at legal@filevine.com
Location: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
The Compliance Engineering team is responsible for preparing Reddit’s platforms for evolving regulatory requirements. We’re building products that establish the foundation of trust in the Reddit platform, while partnering closely with teams across the company to ensure our platforms and features meet the highest standards. Engineers on this team will thrive in dynamic, ambiguous problem spaces and work across multiple domains and technology stacks.
What You’ll Do:
Shape the future of Reddit by adapting our platforms to an evolving privacy, security, and regulatory landscape
Partner with product, design, and engineering teams across the company to build trusted, compliant experiences for millions of users
Join a highly visible team where you’ll influence both technical and product strategy, and help define an entirely new product space
Own product areas and shape strategy end-to-end: from technical design and coding to testing, experimentation, analysis, and launch
Lead high-impact, cross-functional initiatives that are critical to Reddit’s business and platform integrity
Raise the bar for engineering by improving workflows, setting standards, and mentoring the next generation of engineers
Qualifications for this role:
5+ years backend development experience with multiple parts of the backend stack, from databases to networking to efficient computing. We develop with Go, Python, Postgres, Redis, Thrift, GraphQL and deploy to Docker/k8s on AWS.
Experience as a tech lead on projects and teams with 3+ backend engineers
Ability to design and implement complex distributed systems operating under high load.
You must be self-directed, innovative, and biased towards action in fast-paced environments. You live to build new things and thrive in ambiguity and even failure.
Excellent communication skills. You must be able to collaborate effectively with teams in a fully-remote environment, and discuss complex topics with technical and non-technical audiences.
Experience mentoring engineers, owning team processes, and leading cross-functional projects is preferred.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$190,800
—
$267,100 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: USA (Remote); Canada (Remote)
Workplace: Remote
Mysten Labs’ mission is to advance the internet through step-function improvements in what technology makes possible. We build foundational infrastructure and products that give people, businesses, and developers new ways to interact, transact, and create value.
Our work spans on-chain finance and the emerging agent economy. Through Sui, Move, and our broader technology stack, we’re building the systems that make these experiences possible - from secure, scalable blockchain infrastructure to new ways for businesses and AI agents to interact.
The Role:
We are hiring a Staff Security Engineer to act as the primary security partner for the Walrus team, providing deep architectural guidance and embedding security practices throughout the development lifecycle, starting from the design phase.
What You'll Do:
- Lead security assessments for new Walrus features while also contributing to security initiatives across the broader Mysten ecosystem, identifying systemic risks and providing actionable remediation plans for complex architectural challenges.
- Drive a "security-by-design" culture, ensuring that security considerations are front-and-center before code is written, within Walrus and the wider Mysten organization.
- Leverage AI-driven tools and advanced automation to identify and remediate low-hanging fruit, allowing the team to focus on high-impact, complex security research.
- Maintain a generalist security perspective, providing strategic oversight on broader infrastructure and product security issues as they impact Walrus and beyond.
- Collaborate with engineering leadership to prioritize security roadmap items, balancing feature velocity with the security posture of the platform.
- Mentor senior and junior engineers, setting technical direction for security standards and establishing best practices across the engineering organization.
What You'll Have:
Minimum Qualifications
- Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or equivalent experience.
- 8+ years of industry experience in security engineering, with a proven track record of operating at a Staff (E6) level or equivalent.
- Extensive experience as a security generalist, capable of navigating infrastructure, application, and cryptographic security domains.
- Strong proficiency in building, deploying, and managing automated security tooling; demonstrated history of using AI/ML or advanced static/dynamic analysis to improve security outcomes at scale.
- Deep expertise in collaborating with engineering teams during the design phase to proactively identify and mitigate high-risk design flaws.
- Excellent communication skills, with the ability to influence technical direction and lead cross-functional security initiatives.
What You'll Have
Preferred Qualifications
- Technical understanding of decentralized storage, distributed systems, or the Web3 stack (prior experience is a plus, not a requirement).
- Experience leading security-focused transformations or implementing security-by-design frameworks in high-growth engineering environments.
- Ability to balance tactical, hands-on security work with strategic long-term planning and leadership.
Employment is contingent upon the successful completion of a background check, which may include verification of employment history, education credentials, criminal history, and other relevant information.
Regarding the recent rash of technology job scams: Be aware that emails from genuine Mysten Labs group recruiters will always come from the @mystenlabs.com http://mystenlabs.com domain or related subdomains (e.g., mystenlabs.com/careers http://mystenlabs.com/careers). Remember: you can always verify positions on our job boards at www.mystenlabs.com/careers http://www.mystenlabs.com/careers.
To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers.
Our team is remote first and we are hiring across the world. Here at Mysten Labs, you’ll be joining a world-class team with tremendous growth potential as we bring the next billion users to web3. We raised a $300M Series B round from top Silicon Valley led venture funds like Jump Crypto, Andreessen Horowitz (a16z), Binance Labs, Redpoint, Lightspeed, Coinbase Ventures, Electric Capital, Standard Crypto, NFX, Slow Ventures, Scribble Ventures, Samsung Next, Lux Capital, among other investment firms and strategic partners. Come join us and build the future of web3!
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We are looking for a Senior or Staff Reinforcement Learning Engineer to develop learning-based control policies for humanoid robots.
You will design and train reinforcement learning policies that enable dynamic locomotion and loco-manipulation behaviors on real robots. Your work will focus on building scalable training pipelines, designing reward functions and environments, and improving sim-to-real transfer for reliable deployment on hardware.
You will work closely with controls and robotics engineers to integrate learned policies into the robot control stack, ensuring stable and robust behavior in real-world conditions.
Development will involve continuous iteration between large-scale simulation and hardware experiments.
The problems you will work on include dynamic locomotion, balance recovery, contact-rich manipulation, and multi-behavior policy learning.
WHAT YOU’LL DO
- Design and train reinforcement learning policies for humanoid robot control.
- Build scalable simulation and training pipelines (e.g., Isaac Lab, MuJoCo).
- Design reward functions, observation spaces, and curricula for complex behaviors.
- Improve robustness and sim-to-real transfer of learned policies.
- Deploy and evaluate policies on real robotic systems.
- Integrate policies into the control stack.
WHAT WE'RE LOOKING FOR
- MS or PhD in Robotics, Machine Learning, Computer Science, or related field.
- Strong experience with reinforcement learning (e.g., PPO, SAC, offline RL).
- Experience applying RL to robotics or physical systems.
- Experience deploying learned policies on real robotic systems.
- Experience with physics-based simulation environments (e.g., Isaac Lab, MuJoCo).
- Strong programming skills in Python and/or C++.
NICE TO HAVE:
- Experience with RL for locomotion or legged robots.
- Experience with sim-to-real transfer.
- Familiarity with robot dynamics, control, or whole-body control.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making.
In this role, you’ll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You’ll build financial models that inform Anthropic’s investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership.
This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.
Key responsibilities
Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure
Serve as subject matter expert for Anthropic’s overall compute capacity plan, owning source of truth and plan of record
Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization
Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment
Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks
You may be a good fit if you have:
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry
Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks
Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
Proven track record of partnering with technical teams to drive financial optimization initiatives
Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change
Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Are passionate about Anthropic's mission to build safe, transformative AI systems
Are passionate about the effective integration of AI tools to streamline manual finance workflows
Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc
Preferred qualifications
7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
3+ years of experience specifically in cloud infrastructure financial management
Experience working directly with major cloud service providers (AWS, GCP, Azure)
MBA or other advanced degree in finance, economics, or business
Deep expertise in cloud service provider economics, contract structures, and pricing models
Experience with chip architecture economics and optimization strategies
Proficiency with financial modeling tools and languages (SQL, Python, Excel)
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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 Applied Scientist to join our Applied Science team. In this role, you will design, develop, and deploy the algorithmic systems that power Garner's products and drive meaningful impact for our members. Our members rely on us to answer hard questions — Which doctor should I see? What will it cost? When should we reach out, and how? — and the quality of those answers is determined by the algorithms behind them.
This is not a dashboards or descriptive-analytics role. You will own production systems end-to-end: framing the problem, defining the objective function, choosing the right approach (ML, optimization, heuristics, expert systems, or a hybrid), shipping it, and improving it against real-world outcomes. The closest analog outside healthcare is a quantitative researcher at a top hedge fund.
What you will do:
Own the most ambiguous, high-stakes problems on the team end-to-end, and serve as a technical resource others rely on
Frame messy, real-world healthcare and business constraints into clear objectives, tradeoffs, and decision frameworks
Define the set of metrics needed to judge whether a solution is working, and validate solutions before they ship
Choose the right approach for each problem, from machine learning to optimization to heuristics to simple rules, based on what the problem actually calls for
Find novel ways to frame and solve the team's hardest problems, proving out approaches that others build on
Set the bar for quality by reviewing others' work with rigor, and build the standards and evaluation tooling the team relies on
Build a deep understanding of the healthcare economy and Garner's place in it
To make the role concrete, here are three problems on our near-term roadmap:
Provider tiering optimization.
Build a tiering algorithm that jointly optimizes geographic access and total-cost-of-care savings across our doctor network. The objective function, constraints, and tradeoff surface are all open design questions.
AI primary care doctor.
Fine-tune and productionize an LLM-based primary care experience on our website, including the evaluation harness, guardrails, and ongoing quality monitoring needed to ship a medical-adjacent product safely.
Member engagement model.
Build an ML system that ingests claims data and in-app behavior to choose the right channel and moment for each touchpoint — SMS, push, phone, or email — to influence member behavior toward better-quality, lower-cost care.
What we're looking for:
4+ years of industry experience as an Applied Scientist, Machine Learning Engineer, Research Scientist, or equivalent; or 2+ years of industry experience with a relevant advanced degree, PhDs preferred
A bias toward action, quickly translating ideas into working prototypes to test approaches
Strong applied problem-solving skills, with the ability to define good metrics and then deliver solutions that improve them
Deep technical range, with fluency across Garner's data and a habit of staying current with advances in the field
Strong judgment in choosing between statistical models, heuristics, optimization approaches, and simpler algorithmic methods depending on the problem
Strong communication skills and the ability to synthesize complex algorithmic ideas for senior and external stakeholders, and to secure buy-in for cross-team work
A desire to be a part of a high-performing, mission-driven team that operates with 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:
Python, SQL, AWS, Snowflake, pandas, XGBoost, PyTorch, HuggingFace, modern LLM tooling and eval frameworks. We pick tools based on the problem, not the resume — bring your judgment.
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 base comp range for this position is
$200,000 – $230,000
. 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
.
juniorNew York
San Francisco, CA | New York City, NY
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УдалённоВеликобритания, США; This role is fully remote; however, we’re only open to candidates based in the US, EU and UK; We strongly encourage candidates of all backgrounds to apply
ОфисBellevue
УдалённоEurope; Paris; London; Strong project management under deadline pressure — running contributors, review cycles, and sign-offs across functions and timezones without dropping quality
ГибридleadDubai; United Arab Emirates; Riyadh; A collaborative mindset and the ability to work effectively across international, cross-functional teams spanning multiple time zones; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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