Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Life Sciences team is building a research group focused on biological discoveries by combining AI with hands-on biological research. We're seeking research scientists with deep expertise in experimental chemistry to join the team. We welcome chemists from across the field, including medicinal, synthetic organic, physical organic, organometallic, inorganic, analytical, physical, and materials chemistry, as well as formulation science. Our goal is to speed up progress in the life sciences by an order of magnitude, and this role puts that mission into practice. You'll be an expert in your area of chemistry with hands-on experience designing, and running experiments, from synthesizing, purifying, and characterizing compounds to studying reaction mechanisms and kinetics. Above all, you'll close the loop between AI-generated hypotheses and experimental data to share with the community. Working alongside AI researchers and engineers, you'll drive experimental programs end to end and pressure-test AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties against real chemistry.
This role is fully on-site in the San Francisco Bay Area.
Key responsibilities
Depending on your area of chemistry, you will:
Design multi-step synthetic routes for small molecules and oversee their execution end to end, including route selection, reaction optimization, purification strategy, and interpretation of full characterization data (NMR, LC-MS, HPLC)
Design and run mechanistic, kinetic, and spectroscopic studies to explain and predict reactivity, selectivity, and molecular properties
Prepare and characterize inorganic and organometallic compounds, materials, and formulations, and relate their composition and structure to their properties
Coordinate synthesis and biological evaluation with external contract research organizations and academic partners
Evaluate AI-designed molecules, AI-proposed synthetic routes, and AI-predicted mechanisms and properties, drive them to experimental readout, and feed results back to research teams
Generate experimental and computational data, for example from quantum mechanical calculations, that research teams use to train and evaluate AI models
Apply medicinal chemistry principles, including SAR analysis and physicochemical property optimization, to compound design and prioritization
Ensure experimental data across programs is high quality and well documented, including procedures, spectra, and failure modes
Communicate findings clearly to chemistry, AI research, and life sciences audiences
Minimum qualifications
PhD in chemistry
Demonstrated depth in your area of experimental chemistry (for medicinal chemists, SAR-driven design and optimization of small molecules,), with recent, sustained hands-on laboratory work
Comfort navigating ambiguity and defining problems in a rapidly evolving research environment
Ability to work independently while collaborating effectively across cross-functional teams, with strong written and verbal communication skills
Preferred qualifications
5+ years of experience in your area of chemistry beyond the PhD
For medicinal chemists, a track record of advancing programs from hit identification through lead optimization
Experience directing chemistry activities at contract research organizations
Computational chemistry, cheminformatics, or coding skills, for example quantum mechanical calculations (DFT) or Python with RDKit or pandas for data analysis and automation
Experience using AI or ML tools in chemistry or the life sciences
Publications and/or patents demonstrating scientific impact
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY
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
Claude serves millions of individual users alongside enterprise clients. Safeguards Engineering develops the foundational infrastructure that ensures its safe use: robust access controls, active abuse detection, real-time probes and classifiers within the inference pipeline, offline monitoring for review, and the underlying systems powering it all. Operating at scale and velocity, we continuously adapt to technology whose capabilities and risks evolve weekly.
The Safeguards Data team owns the data lifecycle for Safeguards—routing user data and safety metadata from online systems into offline storage and enabling access for downstream teams. Our goal is to provide privacy-safe access to sensitive data for approved uses while ensuring performance, reliability, and minimal blast radius. We prioritize security by design, embedding controls directly into systems operating across AWS, GCP, Azure, and customer-managed environments.
This is a systems engineering position within a small, newly established team. Rather than managing an existing backlog, you will have the autonomy to own a problem domain, establish its technical vision, and shape the team's trajectory.
Key responsibilities
Design, build, and operate the stores, pipelines, schemas, and APIs that Safeguards' detection, evaluation, investigation, and review systems read from.
Build privacy-safe interfaces that allow ML training, evaluation, and investigation workflows to utilize sensitive data without requiring broad access to raw records, ensuring access is tied to purpose and built-in lineage.
Scale the distributed storage, ingestion, and processing systems operated by Safeguards, maintaining cost efficiency, reliability, and portability across deployment environments.
Collaborate with investigators, researchers, legal, privacy, and security teams to translate operational requirements into functional mechanisms and systems for safe data utilization.
Uphold a high operational bar by participating in the on-call rotation, leading incident reviews, and continuously reducing manual operational overhead.
Lead through technical design by authoring foundational proposals and conducting cross-team architectural reviews.
Minimum qualifications
Have strong systems fundamentals (processes, threads, RPC, storage, and how systems fail) and have built and operated large-scale, fault-tolerant distributed systems
Have built and operated systems that handle sensitive or high-value data, with access, privacy, retention and security controls designed in from the start
Have a track record of building platforms or internal tooling that other teams widely adopt
Have led the technical design of projects that span several engineers or teams
Learn quickly and adapt: you're comfortable with ambiguity, a fast pace, and systems or languages you haven't used before
Care about the impact of your work and about making AI safe, use good judgment about what matters most, and can explain technical trade-offs to non-technical partners
Preferred qualifications
Proficiency in one or more systems languages (e.g., C, C++, Rust, Go)
8+ years of experience as a software engineer, and a Bachelor's degree in Computer Science, Software Engineering or comparable professional experience
Experience building data infrastructure for ML: training datasets, offline batch inference or evaluation
Experience with data governance requirements in a regulated or high-sensitivity domain
Fluency with agentic coding tools such as Claude Code
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's consulting and systems integration partners now sell and deliver Claude work at growing volume, and selling alongside partners is working. What matters next is delivery: whether the partner completes the work, whether the customer's Claude usage grows and holds, and whether the outcome is good enough that the customer asks for that partner again.
The Partner Success Lead owns that outcome. You will hold a book of in-flight customer engagements across a set of managed partners in North America. From the day our Partner Delivery program matches a customer engagement to a partner in your book, you own it to a completed outcome: the work finishes on scope, the customer's Claude usage grows, and a stalled engagement gets diagnosed and unblocked before the customer disengages. You wake up every day on one question: what is each partner in my book doing, and is the work getting done.
Key responsibilities:
Own every customer engagement in your book from partner match to completed outcome. Know the state of each one every week: scope, timeline, blockers, and the customer's Claude usage trend.
Run the weekly delivery review across your book, and bring stalled or at-risk engagements to the weekly at-risk account review with a diagnosis, an owner, and a specific ask rather than a status list.
Unblocking. Partner capacity, scope creep, customer readiness, product questions, deal-registration conflicts, and customer dissatisfaction with partner work: get each issue to the right internal team and stay on it through resolution.
Own delivery quality and consumption across your book. Track engagements completed on time, time from match to completion, delivered consumption and weekly active use on the customer accounts your partners serve, and the accounts trending toward at-risk.
Build senior relationships with each managed partner's practice and delivery leadership. Together with the Partner Account Manager and other Anthropic counterparts, establish the executive-level trust that lets you ask a partner to restaff, escalate, or invest — and be taken seriously — when an engagement needs it.
Build each partner's Claude practice as the compounding work: certified bench depth, one repeatable offering in a chosen industry lane, and a published customer story from each completed engagement, so the next engagement needs less from you.
Turn what works into methodology. Convert the moves you prove in your book into named, reusable best practices — engagement review packs, unblocking plays, practice-building guides — written clearly enough to be shared at scale across partners, the Partner Success team, and the contract delivery team running the same loop.
Run the quarterly practice review with each managed partner's alliance and delivery leads: joint goals on completed customer engagements, customer adoption, certified practitioners, references, and industry positioning.
Present and persuade across audiences. Deliver partner executive briefings, practitioner enablement sessions, and internal reviews with equal command — this role is regularly the voice of Partner Success in front of a partner's leadership, a delivery team, a customer, or Anthropic's own leadership.
Steward funding requests from partners in your book. Recommend for or against co-investment and program funding requests against a stated outcome, and reconcile against milestones. The bar is outcomes, not consultant hours.
Work the handoffs cleanly: from Partner Sales when a partner deal closes, and from the Partner Delivery program when an engagement is matched to a partner in your book. Coordinate with the Partner Account Manager on any strategic partner that has one, with Customer Success Managers on customer-side account health, and with Anthropic's direct sales field on joint accounts.
Instrument your book and know its numbers: engagements in flight and completed, stall rate and days to unblock, delivered consumption per partner, certified practitioner counts, and partner health trajectory.
Run your book Claude-first. Telemetry drafts the diagnosis; you validate it and act. Claude drafts your review packs, status notes, and escalation briefs; you own the judgment, the exceptions, and the unblocking. Feed what you see in the field back into the packages, playbooks, tier rules, and health rubric the team runs on.
Minimum qualifications:
Experience owning a high-volume book of concurrent customer engagements, projects, or accounts (roughly 10 to 30 at a time) to completed outcomes, in a partner success, customer success, delivery management, or technical account management role.
Ability and appetite to build structure, clarity, and programmatic motions out of in-flight work, while delivering engagement by engagement. You have written something down — a review format, a checklist, a play — that others ran without you, and you want to do more of that; growing that into the operating playbook a wider team runs is the senior end of this role, not the entry bar. This role scales by what you write down, not by added hours.
Track record of a number tied to completed work and customer behavior (on-time delivery, adoption, retention, consumption, expansion) rather than contract signature, and an operating rhythm you built to hit it.
Judgment on delivery quality: you can review a partner's engagement plan or scope and tell whether it will finish on time and produce usage, and you ask the follow-up question that surfaces the real risk.
Escalation and unblocking judgment across a matrix (partner, customer, direct sales, customer success, product): you know which stall belongs to whom, you get help fast, and you stay engaged to resolution.
A convincing speaker and presenter to all kinds of audiences: partner executives, delivery practitioners, customers, and internal leadership. You can carry a quarterly practice review, an enablement session, and an executive escalation in the same week and land each one.
Deep understanding of how customer success works in a usage-based business; you have held a number tied to customer behavior and can read a consumption trend and act on it.
Enough technical fluency to be credible in a delivery review. You do not need to write code, but you can follow a partner architect's walkthrough of a real Claude engagement and ask the substantive second question.
Active daily use of Claude or another large language model as part of how you work: preparing reviews, drafting account plans, and analyzing your book. We will ask you to walk us through a recent deliverable.
Preferred qualifications:
5 to 8 years working with consulting and systems integration partners, or in delivery-facing customer success at a software company, cloud platform, or partner-led business.
Direct experience with systems integrators (global firms such as Accenture, Deloitte, Capgemini, Infosys, TCS, or Wipro, or regional and boutique firms) and an understanding of how their delivery practices are staffed and run.
Experience running at-risk or red account reviews and turning stalled work around.
Experience anchoring a surge team: setting the playbook and the review pack that a group of contract or offshore delivery coordinators ran, and holding the quality bar across them.
Depth in a specific industry vertical (financial services, healthcare, public sector, retail, or manufacturing) where you have carried a book of partners or customers.
Experience stewarding co-investment funding or market development funding against specific outcomes, with formed opinions about what works and what does not.
Experience running quarterly business reviews with consulting firm practice leads, and a sense of what makes them productive rather than ceremonial.
Experience on a new team where the operating model was being written while you ran the book, and you shipped both.
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:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As Head of Technology Partnerships, you will make Claude's ecosystem of technology partners a primary engine of distribution, customer retention, and product innovation. This is a senior leadership role with no inherited playbook. You are a high agency leader and have a track record of building new functions and capabilities. You will set the strategic technology partner strategy, hold the senior relationships with partner executives, drive high-stakes strategic partnerships, build and scale joint businesses, manage technology partner leads, and drive business impact. You are highly commercial and fluent with technical capabilities. You will collaborate with Sales, Business Development, Product, Applied AI, Partner Programs, and Partner Marketing.
Key responsibilities
Set Anthropic's technology partner strategy: priority partners, investment levels, and business goals across strategic partners.
Hold the executive relationships with our most strategic technology partners, establish joint business plans, and lead the highest-impact partnerships
Define the "better together" story with each strategic partner, including the products, use cases, and industries we will take to market together, the ones we will not, and how we handle overlap between our products and theirs.
Create repeatable co-build, co-sell, co-market, and marketplace motions.
Shape partnership structures with Business Development and account teams across product integration, commercial terms, distribution, and joint go-to-market, then take accountability for outcomes once agreements are signed
Represent technology partners inside Anthropic: shape product requirements for connectors, plugins, and Marketplace, and influence developer experience, partner economics, and program design.
Build the measurement system for evaluating partner health and business impact.
Minimum qualifications
Have built and led a technology partnerships, alliances, or strategic partnerships function, including hiring and managing partner leads and owning the organization's revenue or consumption target
Have personally led strategic partnerships with large enterprise software companies at the executive level
Have delivered on complex partnerships that combine product integration, commercial terms, distribution, and joint go-to-market, working alongside legal, finance, and product
Understand AI platforms, SaaS and consumption business models, cloud marketplaces, and enterprise go-to-market well enough to design a joint solution with a partner's product and field leaders, and to explain how Claude is embedded in and consumed through a partner's product
Have credibility with partner C-level executives and with internal product, engineering, sales, finance, legal, and marketing leaders, and lead through influence in a matrix where account executives own the customer relationship
Care about the safe and beneficial development of AI, and want the partnerships you run to reflect that
Preferred qualifications
Experience standing up an ecosystem business or partner function from scratch at a high-growth company and scaling it from first hires to a multi-team organization
Experience leading partnerships, marketplace, or ecosystem with enterprise SaaS, data platform, or cybersecurity companies
Experience building industry-specific or use-case-specific go-to-market plays with a partner and taking them to production at joint customers
Working familiarity with how AI applications and agents are built on model APIs, agent SDKs, and the Model Context Protocol
12+ years in technology partnerships, business development, platform ecosystems, or enterprise software, including several leading teams
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$365,000
—
$425,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's card issuing and stablecoin infrastructure to market. The Cards product pillar is our longest-standing product, and includes stablecoin cards that work across the Visa and Mastercard networks, onchain rewards infrastructure that drives loyalty, and thoughtfully crafted capabilities, like scoped cards, that support agentic payments as agents take on more of the world's transacting. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category gets more crowded.
What you’ll do
- Own go-to-market for new card-related product and feature launches, from positioning through rollout
- Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training
- Partner closely with Product, Engineering, Compliance, and Legal to translate card program mechanics like interchange, network rules, program economics, and agentic use cases into materials teams can act on
- Track issuers and networks entering the stablecoin card space in key global markets and give internal teams a clear point of view on how Rain wins
- Build and run training for Business Development and post-sales Platform teams on card issuing fundamentals so they can sell and support credibly
- Represent the voice of the customer back to Product and Engineering to shape roadmap priorities
You are likely to succeed if you have:
- 3-7+ years in product marketing, product management, or sales enablement at a card network, issuer, processor, or program manager (not a fintech or neobank that simply offered a card to consumers)
- Deep knowledge of card issuing economics, including interchange, network fees, program management, and compliance
- A track record selling or marketing card programs to enterprise-level companies
- Genuine interest in agentic payments and how cards like Rain's scoped cards will become a primary way agents transact
- Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment
- Strong writing and communication skills, with the ability to make technical and regulatory complexity clear
Bonus attributes:
- Existing relationships across the card issuing and network ecosystem
- Familiarity with agentic commerce, AI agents, or emerging payment rails
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: New York, NY
Workplace: OnSite
About the Company
Rain is the global stablecoin payments platform for enterprises, neobanks, platforms, developers, and AI agents. Our technology allows partners to move, store, and use stablecoins instantly and compliantly through global payment cards, rewards, on/offramps, wallets, and cross-border rails. As both a Visa and Mastercard Principal Member, Rain issues cards that work at more than 175 million merchant locations in over 220 countries and territories. Built natively for stablecoins and trusted by more than 100 organizations worldwide, Rain delivers secure, scalable infrastructure that makes money move freely and instantly around the world.
You will have the opportunity to deliver massive impact at a hypergrowth company backed by some of the top investors in fintech, crypto, and SaaS. In January 2026, we closed a $250M Series C led by ICONIQ, valuing Rain at $1.95B, with Sapphire Ventures, Dragonfly, Bessemer Venture Partners, Galaxy Ventures, FirstMark, Lightspeed, Norwest, and Endeavor Catalyst also participating. If you're curious, bold, and excited to help shape a borderless financial future, we'd love to talk.
Our Ethos
We believe in an open and flat structure. You will be able to grow into the role that most aligns with your goals. Our team members at all levels have the freedom to explore ideas and impact the roadmap and vision of our company.
About the Team
Product Marketing sits within Rain's Marketing & Communications team and owns how we bring Rain's infrastructure to market. The Money Movement line covers onramps, offramps, and payments, the connective tissue between onchain and the world's banking rails. As the world moves onchain, this team's job is to make clear how Rain bridges stablecoins with the rails enterprises already trust, from ACH and SEPA to SWIFT, Fedwire, and local real-time payment schemes. Reporting to our founding PMM, you'll help build the positioning, enablement, and market intelligence that keep Rain ahead as this category matures.
What you’ll do
- Own go-to-market for new onramp, offramp, and payments product and feature launches, from positioning through rollout
- Build and maintain revenue enablement for both Business Development and post-sales Platform teams, including pitch decks, case studies, and sell sheets, as well as internal training
- Partner closely with Product, Engineering, Compliance, and Legal to translate money movement mechanics like liquidity, settlement, FX, and cross-border regulatory nuance into materials teams can act on
- Track banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems, and explain how Rain connects to each
- Track competitors in the stablecoin on/offramp space and give internal teams a clear point of view on how Rain wins
- Represent the voice of the customer back to Product and Engineering to shape roadmap priorities
You are likely to succeed if you have:
- 3-7+ years in product marketing, product management, or sales enablement at a payments company, bank, or money transmitter working directly with cross-border rails and settlement
- Deep knowledge of banking rails and payment schemes around the world, including ACH, SEPA, SWIFT, Fedwire, and regional real-time payment systems
- A track record selling or marketing payments infrastructure to enterprise-level companies
- Genuine interest in how stablecoins and onchain rails are reshaping global money movement
- Comfort working cross-functionally with Product, Engineering, Compliance, and Legal in a fast-moving environment
- Strong writing and communication skills, with the ability to make technical and regulatory complexity clear
Bonus attributes:
- Experience with FX and treasury operations across multiple currencies
- Existing relationships across banks, payment processors, or correspondent banking networks
- Familiarity with stablecoins, blockchain settlement, or onchain payment rails
Things that enable a fulfilling, healthy and happy experience at Rain:
Unlimited time off 🌴 Unlimited vacation can be daunting, so we require Rainmakers to take 10 days minimum for themselves.
Flexible working ☕ We support a flexible workplace – work from home, come into an office, or both. We want everyone to work in an environment where they're their most confident and productive selves. New Rainmakers receive a stipend to set up a comfortable home workspace.
Easy to access benefits 🧠 For US Rainmakers, we cover 95% of your health, dental, and vision plan costs and 90% for your dependents, plus a 100% company-subsidized life insurance plan.
Retirement goals💡 Plan for the future with confidence. We offer a 401(k) with a 4% company match.
Equity plan 📦 Every Rainmaker gets an equity option plan so we all benefit from our success.
Health and Wellness 📚 High performance begins from within. Rainmakers receive a monthly stipend to be used for eligible health and wellness spending like gym memberships/fitness classes, massages, acupuncture - whatever recharges you!
In-office meals 🍜 Rainmakers working from the office enjoy lunch and dinner on us, covered with a DoorDash credit.
Team summits ✨ Summits play an important role at Rain. Time together helps us build relationships and a common destiny. Expect team and company offsites, both domestic and international.
Location: Worldwide
Workplace: Remote
Veda builds vault infrastructure for DeFi at scale. We manage Billions in total value locked across 15+ blockchain networks, powering yield strategies for partners including Kraken, Etherfi, MetaMask and Plasma. Our protocol turns complex multi-chain DeFi positions into simple vault interfaces that institutional and retail users can actually trust.
We seek individuals with high agency to join us in defining the next phase of DeFi growth and adoption. The ideal candidate takes ownership, thrives in a fast-paced environment, and adapts swiftly to evolving demands.
THE ROLE
As a Backend Engineer focused on Solana, you will help build secure DeFi products across on-chain programs and the backend systems that support them. You will work on protocol integrations, transaction infrastructure, product APIs, and production operations. This is a hands-on role combining smart contract engineering, backend development, and applied security for systems that manage real assets.
RESPONSIBILITIES
- Design, build, and maintain Solana programs and backend services that power Veda’s DeFi products.
- Own features end to end, from technical design and implementation through testing, deployment, monitoring, and ongoing improvement.
- Integrate third-party DeFi protocols and infrastructure, evaluating technical and economic risks and maintaining those integrations as external systems evolve.
- Build reliable APIs, data pipelines, SDKs, and internal tools that connect on-chain functionality with user-facing products and operational workflows.
- Design for security and financial correctness, including clear trust boundaries, safe state transitions, access control, precision, reconciliation, and recovery from partial failures.
- Improve the scalability, reliability, performance, and developer experience of our Solana platform.
- Develop comprehensive automated tests, participate in security reviews and audits, and drive findings through remediation and production verification.
- Collaborate closely with product, engineering, research, and external partners while documenting important technical decisions and operational procedures.
YOU HAVE
- Strong professional experience with Rust and the ability to reason about security-critical systems code.
- Deep knowledge of Solana and the SVM, including its account model, transaction lifecycle, token standards, performance constraints, and common security considerations.
- Experience building Solana programs and the backend services or SDKs that configure, invoke, index, or operate them.
- Experience designing and operating production APIs and distributed services in a language such as Python or TypeScript.
- Strong DeFi fundamentals, including vaults, lending, trading, liquidity, fees, pricing, and cross-chain systems.
- A security mindset and experience building systems that handle real money, with careful attention to correctness, auditability, and incident response.
- Strong testing practices across unit, integration, and end-to-end environments, including working with real external dependencies.
- High agency and clear communication. You can turn an ambiguous problem into a reviewed design, incremental implementation, production rollout, and durable handoff.
EVEN BETTER IF YOU HAVE
- Production experience with Anchor, native Solana development, and the Solana token ecosystem.
- A track record of deploying, auditing, or maintaining smart contracts that secure meaningful value.
- Experience integrating with major Solana DeFi protocols or building vault, lending, trading, staking, or bridge products.
- Knowledge of EVM smart contracts or cross-chain systems.
- Experience with secure key management, multisig or custody workflows, and institutional blockchain infrastructure.
- Experience with cloud-native services, event-driven systems, containers, deployment pipelines, and production observability.
- Contributions to open-source blockchain infrastructure or comfort using modern agentic development tools without weakening engineering judgment.
WHAT YOU’LL WALK INTO
We’re a 35-person team that has raised $18M at Series A. Veda’s infrastructure is already running in production and supporting billions in TVL, and Solana is an important area of continued investment. You’ll help expand our capabilities, strengthen reliability and security, and make the platform easier for the team to extend as the business grows. The work is highly collaborative, ownership-focused, and close to both product and protocol design.
COMPENSATION
Competitive base salary plus equity. We’re a Series A company heading toward Series B, early enough that your equity is meaningful, late enough that the business is real.
Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience.
Location: San Francisco, California
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
To be eligible for this role, you need to graduate in December 2026 and be able to start full time by January/February 2027.
WHAT YOU'LL ACHIEVE:
- You'll work with others to plan, shape, and build new product features from start to finish: through conception, research, implementation, and maintenance. For example, you might work on driving adoption, by instrumenting key onboarding moments and iterating on activation flows.
- You'll help improve performance and reliability, or polish existing features. For example, you might update our spell checker to sync dictionaries across browsers or improve search to index file attachments.
- You'll build internal tools to support simplicity and productivity for the whole team. This might include writing a script to import user feedback into Notion.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field.
- To be eligible for this role, you need to graduate by Dec 2026 and be able to start FTE by January/February 2027.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as TypeScript, Node.js, or Python.
SKILLS YOU'LL NEED TO BRING:
- Impact-driven approach to technology: You see technologies as tools to achieve user impact rather than ends in themselves. You care more about building successful systems that solve real problems than about using specific tech stacks or following trends.
- You stay current with the latest tools like Codex, Claude Code, and other AI-assisted development environments. You're pragmatic about choosing the right tool for the job, focusing on what delivers the most value to users.
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck. You think about the implications of what you're building and how it will impact real people's lives.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- Passion for web applications: You can work with others to build and maintain quality user interfaces for a big audience, using Web technologies like HTML, CSS, JavaScript, and a modern UI framework like React.
- Familiarity with backend systems: You understand how parts of a system fit together—from the user interface to the data model. Familiarity with database systems like Postgres, MySQL or MongoDB is a plus.
NICE TO HAVES:
- You have experience with any part of our technology stack: React, TypeScript, Node.js, Postgres, and Elasticsearch.
- You’re a builder who finds joy in building software solutions for yourself or others.
- You care about the interaction between technology and society, the ways in which they inform each other, and our responsibility as technologists to be conscious of that relationship.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated salary range for this role is $135,000 - $155,000
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
This internship will take place from May 24 - August 13 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
WHAT YOU'LL ACHIEVE:
- Write clean, secure, tested, and documented code.
- Design & enhance the Notion product with new capabilities with an AI first mindset
- Develop, fix and debug software for across our full stack: web services, databases, applications, tools while leveraging modern frameworks and tooling.
QUALIFICATIONS:
- Pursuing a bachelor's or master’s degree in computer science, engineering, or another related field. Must graduate before Summer 2028.
- This internship will take place from May 17 - August 6 or June 14 - Sept 3 (based on your summer schedule) and you will need to be able to work out of our NY or SF office during this time.
- Previous internship experience.
- Working towards a proficiency of one or more programming languages such as Typescript, Node.js, or Python.
- You find large challenges exciting and enjoy discovering problems as much as solving them.
- You are able to problem-solve and adapt to changing priorities in a fast-paced, dynamic environment.
SKILLS YOU’LL NEED TO BRING:
- Thoughtful problem-solving: For you, problem-solving starts with a clear and accurate understanding of the context. You can decompose tricky problems and work towards a clean solution, by yourself or with teammates. You're comfortable asking for help when you get stuck.
- Put users first: You think critically about the implications of what you're building, and how it shapes real people's lives. You understand that reach comes with responsibility for our impact—good and bad.
- Not ideological about technology: To you, technologies and programming languages are about tradeoffs. You may be opinionated, but you're not ideological and can learn new technologies as you go.
- Empathetic communication: You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real time. In disagreements, you engage thoughtfully with other perspectives and compromise when needed.
- Team player: For you, work isn't a solo endeavor. You enjoy collaborating cross-functionally to accomplish shared goals, and you care about learning, growing, and helping others to do the same.
- AI enthusiast: You have built or prototyped features with AI technologies (LLMs, Embeddings, ML) and are interested in learning more
NICE TO HAVES:
- You have expertise with specific technologies that are part of our stack, including Typescript, React, Python.
- You've heard of computing pioneers like Ada Lovelace, Douglas Engelbart, Alan Kay, and others—and understand why we're big fans of their work.
- You have interests outside of technology, such as in art, history, or social sciences.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated hourly range for this role is $57/hr for Bachelors and $61/hr for Master’s.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: San Francisco, CA | New York City, NY
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: Alpharetta, GA
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
LG Electronics Eco Solutions is hiring a Program Manager to help own the forward direction of our product line. This role tracks market needs, regulatory change, and the competitive landscape, and translates those inputs into a product roadmap that keeps our platforms ahead of the market. This is an individual contributor role reporting to a Senior Program Manager or Product Development Manager, intended for someone early in their product management career with a technical foundation to build on.
Duties and Responsibilities
Monitor market needs, customer requirements, and industry trends across assigned product lines
Track regulatory and code changes (DOE, EPA, ASHRAE, UL, AHRI, and similar bodies) and assess impact on current and future products
Research and maintain a working view of the competitive landscape, including product specifications, positioning, and pricing
Support development and maintenance of the product roadmap under the direction of senior product management
Translate market and regulatory inputs into clear product requirements for engineering
Partner with engineering, marketing, and sales to gather input on feature and platform decisions
Prepare market and competitive analysis materials for internal reviews and leadership updates
Support business case development for new product initiatives, including cost and volume assumptions
Coordinate with Korea HQ counterparts on product planning, specifications, and timing
Assist with go-to-market planning and cross-functional launch coordination
Skills and Qualifications
Bachelor's degree in Mechanical, Electrical, or related engineering discipline
0–4 years of experience in product management, product development, or applications engineering; HVAC industry experience a plus
Bilingual in Korean and English preferred, both written and verbal, sufficient for technical and business discussions
Working knowledge of HVAC systems and components, or a strong technical aptitude to build that knowledge quickly
Ability to read and interpret regulatory and standards documentation
Strong analytical skills; comfortable synthesizing market, technical, and financial information into a clear recommendation
Proficiency in Excel, PowerPoint, and Word;
Clear written and verbal communication skills across technical and business audiences
Willingness to travel domestically and to Korea as needed (estimated 10–15%)
#LI-DB2
Recruiting Range
$100,000
—
$127,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Asia
Workplace: Remote
We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats.
The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering.
You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES
- Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty.
- Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm.
- Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information.
- Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items.
- Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose.
- Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers.
QUALIFICATIONS
- Licensure: Registered doctor based in the US, Europe or Asia-Pacific.
- Experience: Current or recent clinical practice in your stated specialty.
- Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards.
- Attention to detail: Proven accuracy and consistency in clinical review or assessment 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 in line with specialty and level of experience.
- Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.
Location: USA
Workplace: Remote
We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats.
The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering.
You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES
- Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty.
- Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm.
- Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information.
- Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items.
- Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose.
- Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers.
QUALIFICATIONS
- Licensure: Registered doctor based in the US, Europe or Asia-Pacific.
- Experience: Current or recent clinical practice in your stated specialty.
- Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards.
- Attention to detail: Proven accuracy and consistency in clinical review or assessment 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 in line with specialty and level of experience.
- Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.
Location: United Kingdom; Europe
Workplace: Remote
We are seeking physicians to review, validate and design clinical tasks to help advance frontier AI models across a range of clinical scenarios and formats.
The project is designed to surface where models perform poorly in clinical scenarios such missed findings, incorrect clinical information, overconfidence or failure to seek context before answering.
You will work asynchronously on a dedicated platform, within your own specialty and day-to-day scope of practice.
This is a remote, flexible and short-term project.
KEY RESPONSIBILITIES
- Scenario Design: Design realistic clinical scenarios and instructions that mirror the work you carry out day-to-day in your specialty.
- Content Review: Assess clinical outputs for accuracy, flagging anything incorrect, outdated or can cause harm.
- Reference Answer Validation: Judge whether reference answers reflect what you would actually write in practice, including caveats, uncertainty and requests for further information.
- Grading Criteria Assessment: Design and evaluate whether scoring criteria capture what matters clinically and whether each is weighted appropriately, particularly safety-critical items.
- Written Rationale: Provide short, specific reasoning where you disagree, and note the weakness each new item is designed to expose.
- Feedback & Continuous Improvement: Highlight edge cases and ambiguity to refine guidelines and improve consistency across reviewers.
QUALIFICATIONS
- Licensure: Registered doctor based in the US, Europe or Asia-Pacific.
- Experience: Current or recent clinical practice in your stated specialty.
- Knowledge: Strong grounding in current guidelines, diagnostic reasoning and clinical documentation standards.
- Attention to detail: Proven accuracy and consistency in clinical review or assessment 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 in line with specialty and level of experience.
- Professional Development: Direct involvement in how frontier AI models are evaluated for clinical safety, working alongside clinicians and AI researchers.
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 Developer Experience team builds the backend systems and product capabilities that help developers understand, secure and ship software with confidence. The team powers important parts of Docker Scout, Docker Hardened Images and the workflows that turn supply-chain data into useful developer experiences.
Our systems are deliberately polyglot. Today that includes Clojure and Go services, event-driven workflows, Kafka, legacy Datomic components and newer Spanner-backed services. We will keep evolving the stack as the product and business change. We are looking for an adaptable backend engineer who can become effective in an unfamiliar codebase, choose technology pragmatically and help other engineers do the same. Clojure experience is useful, but it is not a requirement and this is not a Clojure-specialist role.
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, security and operability of what ships. At Staff level, you will also help the team turn good individual practice into repeatable workflows, controls and shared standards.
As a Staff Software Engineer, you will lead ambiguous, cross-team work from problem definition through measurable outcomes. You will remain hands-on in code while shaping architecture, raising operational standards and creating enough clarity for several engineers and partner teams to move quickly. Work may span developer-facing features, build and artefact workflows, data and event pipelines, platform evolution and integrations with Docker's build and security systems.
SUCCESS IN THIS ROLE LOOKS LIKE
You will succeed by finding the highest-leverage problem, creating momentum before every detail is known and bringing people with you. Within your first year, teams should be delivering more confidently because you have made system boundaries clearer, reduced operational risk, connected technical choices to customer outcomes and helped senior engineers take on larger work.
_______________________________________________________________________
RESPONSIBILITIES
- Set technical direction for major backend and developer-experience initiatives across Clojure, Go and adjacent systems.
- Turn ambiguous product or platform problems into clear plans, staged decisions and measurable outcomes.
- Design, build and operate distributed services, event pipelines, databases and APIs with strong security and reliability characteristics.
- Lead cross-team delivery, surface risks early and remove technical or organisational blockers without waiting for formal authority.
- Make pragmatic recommendations about when to retain, evolve or replace existing components, including the continued reduction of legacy Datomic dependencies.
- Partner with Product, Design, Security and other engineering teams to connect technical investment to developer and business outcomes.
- Improve observability, incident readiness, performance and service ownership across the Developer Experience estate.
- Improve engineering leverage through appropriate automation, AI-assisted workflows and controls that preserve human accountability.
- Mentor senior engineers, raise the quality of design and code reviews and create reusable patterns that multiply the team.
- Stay hands-on through implementation, debugging and the team's paid on-call rotation.
- Communicate decisions and trade-offs clearly in a remote, async-first environment.
_______________________________________________________________________
QUALIFICATIONS
REQUIRED
- 8+ 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
- Deep experience designing, building and operating production backend or platform systems.
- Strong programming ability in at least one production language, with evidence of becoming effective in unfamiliar languages and codebases.
- Experience with distributed systems, event-driven architectures, APIs, relational or distributed databases and cloud-native infrastructure.
- A track record of leading complex initiatives that crossed team or organisational boundaries.
- Strong technical and product judgement, including the ability to explain constraints, alternatives, customer outcomes and business trade-offs.
- Evidence of influencing without authority and improving the effectiveness of other experienced engineers.
- An operational mindset that treats observability, resilience, incident response and on-call ownership as part of engineering.
- Comfort using AI-assisted engineering tools critically while retaining ownership of the result.
- Clear written and spoken communication suited to a remote, async-first company.
HELPFUL, BUT NOT REQUIRED
- Production experience with Go, Clojure or both.
- Experience with Spanner, Datomic, Kafka or other distributed data and streaming platforms.
- Experience with build systems, containers, artefact workflows or developer tooling.
- Experience evolving a platform, database or language strategy without disrupting product delivery.
- Experience building security or software supply-chain products.
_______________________________________________________________________
WHAT TO EXPECT
FIRST 30 DAYS
- Build context on Developer Experience products, customers, architecture and current priorities.
- Pair across Clojure, Go, Datomic and Spanner-backed systems and ship a useful production change.
- Understand the operational profile of the team's services, including on-call and recurring failure modes.
- Build working relationships with Product, Design, Security and adjacent engineering teams.
- Learn the team's AI-assisted engineering practices and identify where shared controls or workflows would improve them.
FIRST 90 DAYS
- Lead the technical framing and delivery plan for one significant team or cross-team problem.
- Contribute production code in the parts of the stack needed to move that work forward.
- Identify and begin addressing a material reliability, observability, data or architectural weakness.
- Establish a mentoring and design-review cadence that helps other engineers own larger decisions.
ONE YEAR OUTLOOK (FIRST YEAR)
- Be a trusted technical leader for Developer Experience and a sought-after partner across Docker.
- Deliver at least one material product or platform outcome spanning multiple teams or systems.
- Improve the reliability, clarity and delivery speed of the backend and data estate.
- Shape pragmatic evolution across Clojure, Go, Datomic, Spanner and future technologies without turning technology choice into the goal.
- Grow other senior engineers into broader ownership and reduce the number of decisions that depend on a small set of people.
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: €110,500 – €181,500 base
United States: $170,350 – $275,550 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: 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: Port Chester, New York
📍
Location:
Port Chester, NY
🕒
Schedule:
Tuesdays, 3:30 PM to 4:30 PM; consistent weekly commitment preferred
🏠
Setting:
1:1 ABA support
About the role
LBAPS is seeking a Spanish-speaking ABA Paraprofessional (RBT) for a 1:1 case in Port Chester, NY. You will deliver ABA sessions under the direction of a supervising BCBA and record session data.
What we are looking for
🗣️ Spanish-speaking
✅ RBT certification preferred, depending on agency requirements
✅ High school diploma required
✅ Experience working with children is a plus
✅ Reliable, patient, and compassionate
What we offer
💰 Competitive pay, based on experience
📩
Apply today to be considered.
Location: Patterson, New Jersey 07514
📍
Location:
Paterson, NJ
🕒
Schedule:
Monday to Friday, 3:30 PM to 8:30 PM
🏠
Setting:
1:1 ABA support
About the role
LBAPS is seeking an ABA Paraprofessional (RBT) for a 1:1 case in Paterson, NJ. You will deliver ABA sessions under the direction of a supervising BCBA and record session data.
What we are looking for
✅ RBT experience required
✅ High school diploma required
✅ Experience working with challenging behaviors preferred
✅ Patient, compassionate, and reliable
✅ Able to build a positive working relationship with the learner
What we offer
💰 Pay based on experience
📩
Apply today to be considered.
География найма не уточнена
New York City, NY
leadSan Francisco, CA | New York City, NY | Seattle, WA
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