Location: Remote-Friendly, United States
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
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. Anthropic’s Data Center team is responsible for delivering that physical infrastructure — partnering with build partners, equipment manufacturers, and vendors to stand up facilities that can reliably cool some of the largest accelerator clusters in the industry.
As a Senior Data Center Mechanical Engineer based in the United States, you’ll lead the design direction and technical oversight of building mechanical systems — cooling, chilled-water distribution, liquid cooling, plumbing, and fire protection — across our rapidly expanding U.S. portfolio. This is a senior individual contributor role focused on driving and reviewing mechanical design from concept through detailed design and construction documentation produced by external engineering firms and development partners, ensuring every facility meets Anthropic’s standards for reliability, efficiency, and scalability. You’ll own the mechanical design direction from Basis of Design through construction and commissioning, serving as the primary technical interface between Anthropic’s internal teams and our external engineering and development partners.
A central part of this role is speed-to-capacity through prefabrication and modular construction — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture that compress schedules and reduce onsite labor. You’ll bring deep familiarity with U.S. mechanical, plumbing, and fire codes and the local regulatory environment, and ensure the cooling architecture keeps pace with rapidly increasing rack densities and the shift toward direct-to-chip liquid cooling. Strong candidates will bring deep mission-critical mechanical design experience and the judgment to make sound trade-offs when the standard playbook doesn’t apply.
Responsibilities
Design direction & review
Drive mechanical design concepts for data center cooling plants, chilled-water distribution, liquid cooling (direct-to-chip and CDUs), plumbing, and fire protection systems.
Review and direct design drawings, specifications, and construction documentation produced by external engineering firms, ensuring alignment with Anthropic’s Basis of Design and owner requirements.
Evaluate design submittals, shop drawings, and equipment selections; respond to RFIs with clear technical direction.
Identify design conflicts and drive resolution across mechanical, electrical, and controls disciplines.
Maintain and evolve Anthropic’s internal mechanical design standards and reference configurations.
Prefabrication & modular delivery
Drive Anthropic’s prefabricated and modular mechanical strategy — modular cooling skids, prefabricated piping and pump assemblies, and design for offsite manufacture and onsite assembly — to accelerate deployment and reduce onsite labor.
Drive standardization of modular mechanical designs across sites while preserving flexibility for site-specific constraints and evolving hardware generations.
External partner & vendor coordination
Serve as the primary mechanical engineering point of contact for external developers, design engineers, and construction partners across the U.S. portfolio.
Develop scopes of work, equipment specifications, and bid packages for mechanical infrastructure.
Perform technical due diligence on third-party and colocation facilities, evaluating mechanical designs against program requirements and redundancy targets.
Coordinate with equipment vendors and manufacturers on cooling system procurement, including chillers, CDUs, pumps, and piping assemblies, and partner with supply chain to mitigate lead-time and single-source risk.
Construction & commissioning
Monitor mechanical system installation for compliance with design intent, applicable U.S. codes and standards, and industry best practice.
Conduct site visits to review progress, resolve field issues, and validate construction quality; travel to sites across the region as needed.
Support testing and commissioning of mechanical systems; analyze data and troubleshoot issues against design intent.
You may be a good fit if you
Have 10+ years of experience designing building mechanical systems for data centers or mission-critical facilities, across the project lifecycle from concept design through construction, commissioning, and handover.
Have deep familiarity with U.S. mechanical, plumbing, and fire codes and standards — including the International Mechanical Code (IMC), International Plumbing Code (IPC), International Energy Conservation Code (IECC), International Building Code (IBC), NFPA 13 (automatic sprinkler systems), ASME B31 piping codes, and applicable state and local amendments, alongside ASHRAE guidance (incl. TC 9.9).
Have strong knowledge of chilled-water systems, air-cooled cooling plants, liquid cooling (direct-to-chip and CDUs), and redundant piping configurations.
Have hands-on experience with prefabricated and modular mechanical infrastructure — modular cooling skids, prefabricated piping assemblies, and design for offsite manufacture.
Have experience driving and reviewing mechanical design work produced by external engineering consultants, and are proficient reading and marking up construction drawings, P&IDs, and single-line diagrams.
Hold a bachelor’s degree in Mechanical Engineering; a Professional Engineer (PE) license (or eligibility) is valued but not required.
Communicate clearly and can drive technical decisions across internal teams and external partners, and are results-oriented with a bias toward practical solutions.
Are able to travel up to ~30% to data center sites across the region.
Strong candidates may also have
15+ years of experience designing building mechanical systems for data centers or mission-critical facilities.
Direct project experience delivering data centers in multiple U.S. markets (e.g., Virginia, Ohio, Texas, Arizona, Oregon).
Experience with thermal-hydraulic modeling software (AFT Fathom, Cadence 6SigmaET, ANSYS, or similar), CFD modeling, and energy analysis.
Familiarity with controls/BAS systems and sequences of operation for cooling plants.
Experience preparing SOWs, facility audits, and TCO analyses.
A track record building modular prefabricated products in mechanical or electrical areas of the data center, and driving designs toward offsite manufacturing.
Proficiency with Revit MEP or AutoCAD MEP.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | 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 R&D teams depend on a large and fast-growing ecosystem of outside service providers. The biggest and most complex piece of it is Human Data Operations (HDO): vendors that supply the human-generated data, evaluations, and expert feedback our research depends on. Alongside HDO is a growing set of other R&D services, including labs, outsourced and outsourced service providers, and other specialized service partners that our research and special-initiative teams rely on.
We are hiring a Strategic Sourcing Business Partner to own the commercial side of this portfolio. Today these vendors have business owners and Procurement Operations support, this role will drive real ownership of the commercial terms end to end including contracts redlines, deployment of contract templates, and the negotiation.. There is significant untapped value in this portfolio (in pricing, in contract terms, and in vendor performance), and this role exists to go get it.
The job has four parts: run the contracts (redlining, templates, and renewals). This person will lead the commercial negotiations, partnering with the business to positively influence decision-making and deal structure, and manage vendor performance once the deal is signed. Success means moving fluidly between the deal and the relationship: negotiating strong terms, then executing against them through QBRs, SLA enforcement, and escalations as our needs change.
We use Claude as part of our daily workflow and are looking for someone who wants to help define what an AI-native sourcing function looks like, including how AI changes deal-making and vendor management itself over the next few years.
How this role fits within Procurement
Procurement Ops Business Partners own the primary relationship with each business vertical and are the front door for intake and day-to-day requests. Strategic Sourcing partners closely with them and owns the commercial outcome: negotiation strategy, contract terms and redlines, contract compliance, ongoing vendor performance, and sustained value creation for the leaders of these verticals working closely day to day with Legal (legal positions, templates, terms), Finance & Strategy (budgets, forecasts, and strategy), and Security / TPRM (risk assessment, approvals, process).
Responsibilities
Contract management and templates
Own the commercial redline for HDO and R&D services agreements (MSAs, SOWs, order forms, amendments, and renewals), partnering with Legal on legal terms, so deals move quickly while maintaining negotiation posture
Build and maintain the template library for these categories (standard MSA and SOW templates, pricing exhibits, SLA schedules, and a fallback playbook) so that most deals start on our paper rather than the vendor's
Run the renewal calendar for the portfolio so that no agreement auto-renews or lapses without a deliberate commercial decision
Keep contract data (rates, volume commitments, SLAs, key dates) current in our contract and intake systems so obligations are visible and enforceable
Negotiations and commercial strategy
Lead pricing and commercial negotiations across the portfolio, from strategy and deal structure through terms, SLAs, and executive alignment; you will personally run the ones that matter most
Build playbooks and Claude-powered tools for redlining, negotiation prep, benchmarking, and vendor reporting that raise the throughput and deal quality of the whole team
Design pricing structures that fit how R&D actually consumes these services (per-unit, per-hour, capacity, tiered, and committed-volume models) and that align vendor incentives with quality and throughput
Build and maintain a competitive bench for every mission-critical category via RFPs and competitive processes: qualified second sources, contracts structured so volume can move as needed, and flexible pricing constructs
Track and report savings, cost avoidance, and improved terms for the portfolio
Vendor management and value creation
Own the vendor management cadence for mission-critical vendors: QBRs, scorecards, SLA and quality reporting, and remedies when performance slips
Manage escalations between R&D teams and vendors and drive them to resolution
Identify consolidation, rationalization, and renegotiation opportunities as volumes shift, and bring executive-ready recommendations to R&D and Finance leadership
Manage TPRM, security, and compliance approvals, audit rights, and data-handling terms in partnership with Security and Legal
Relationships & Partnership
Partner with Procurement Ops BPs and leadership in R&D and special-initiative teams to understand upcoming needs and growth, and get vendor capacity and terms in place ahead of them
Partner with Finance & Strategy on vendor budgets, forecasts, and multi-year cost models for the portfolio
You may be a good fit if you have
7+ years of strategic sourcing, category management, vendor management, or commercial negotiation experience, primarily in services categories (data services, BPO or outsourced operations, lab or research services, managed services, staffing, or similar)
Hands-on contract experience: you have personally redlined MSAs and SOWs, built templates and fallback positions, and know where the commercial value sits in a services contract (pricing exhibits, volume commitments, termination rights, SLAs and remedies, IP and data terms) and when to bring in Legal
A track record of personally leading multi-million dollar services negotiations to strong outcomes, not just managing the process around them
Judgment about where leverage lives and how hard to use it: you can look at a portfolio of many vendors and many concurrent deals and know which ones deserve a deep negotiation and which need a fast, standard path, and you have a reputation with past vendors and colleagues for being commercially tough and fair with partners that need to scale with us
Strong analytical skills: rate and unit-cost analysis, TCO modeling, and pricing model design; you can find the real economics underneath a vendor proposal
Services vendor management experience: SLAs, scorecards, QBRs, and escalations, and how to enforce them without damaging the relationship
Comfort operating at pace: high deal volume, ambiguity, imperfect information, and a bias to execute rather than perfect
Clear, direct communication with executives internally and across the table, including in difficult conversations and escalations
Fluency with AI tools in your daily work and demonstrated experience in rebuilding your own workflows around them
Strong candidates may have
Experience sourcing human data, data labeling, annotation, or evaluation vendors, or comparable BPO and outsourced operations categories, and a point of view on where that market is heading
Experience sourcing lab services, scientific equipment and consumables, robotics or hardware services, or other technical services for a research organization
Experience at a hypergrowth company renegotiating or restructuring vendor pricing and contract structures under the growth curve
Experience standing up sourcing coverage for a category from scratch (templates, playbooks, benchmarks), not just operating within an established program
Experience designing vendor scorecards, SLA frameworks, and performance management programs
Familiarity with the confidentiality, data-handling, and IP terms that matter for research and data vendors
A point of view on how AI will change services vendor relationships and negotiations, backed by things you have actually tried
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:
$190,000
—
$230,000 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: Chicago, IL; Los Angeles, CA; New York City, NY; San Francisco, CA
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
We’re looking for a highly strategic Senior Principal Program Manager to join the GTM Excellence team within Reddit’s GTM Strategy & Operations organization. In this heavily executive-facing role, you will operate as a Business Transformation Manager leading large-scale strategic initiatives—specifically owning end-to-end processes, transforming our methodologies, and evolving our systems, data, and products.
The ideal candidate brings immense executive presence, strong judgment, and a deep background in digital media forecasting to build the systems and processes that maximize customer-facing time and create a seamless experience for Reddit advertisers.
Location:
Hybrid. New York, NY; Chicago, IL; San Francisco, CA; Los Angeles, CA
Responsibilities:
Support core GTM leadership by managing Reddit's largest OPEX planning cycles, overseeing complex roadmaps, and ensuring decision-ready documents are prepared for monthly engagements with executive leadership, including the CRO and COO.
Own the end-to-end processes. Example: Manage and optimize stages across the buy cycle, including pipeline, forecasting methodologies, campaign planning, credit checks, credit limits, application, and invoicing.
Act as an extension of senior leadership. Engage heavily with the CRO, COO, and cross-functional senior leaders across Finance, Product, Engineering, Sales, and Data Product to gather buy-in, pressure test ideas, and accelerate execution.
Break down ambiguous, high-impact opportunities into clear problem statements, develop hypotheses, drive analysis, and identify the highest-impact opportunities to improve how Reddit operates.
Own work from idea to execution, including rollout planning, stakeholder communication, training, and adoption. Navigate strong change management processes to ensure smooth transitions across a wide variety of sales spaces.
Evaluate how work gets done today, identify friction points and root causes, and design simpler, more standardized processes, policies, and ways of working that improve seller productivity and the advertiser experience.
Define success metrics, track results, gather feedback, and refine processes over time. Establish governance and guardrails where needed to drive consistency without adding unnecessary complexity.
Required Qualifications:
8-12+ years of experience in strategic program management, business transformation, strategy & operations, or a related field.
Background in Digital Media companies (experience at a platform + agency is highly preferred).
Executive communication and stakeholder management skills. Must be comfortable being put in front of and influencing C-suite stakeholders (CRO, COO) and acting as a seamless extension of leadership.
Proven ability to operate in ambiguity and independently structure complex problems into clear recommendations and action plans.
Experience leading change management initiatives across cross-functional teams, from initial problem framing through implementation and adoption.
Ability to balance high-level strategic thinking with hands-on execution; this role requires an owner, not just a coordinator.
Preferred Qualifications:
Startup experience in addition to larger tech/media platforms.
Strong foundational experience in basic strategy & operations or business operations.
Expertise in triaging complex issues, conducting root cause analysis, and utilizing competitive intelligence.
Familiarity with sales tools and technology that improve seller efficiency and productivity, including workflow automation and AI-enabled ways of working.
Deep Forecasting experience, including a proven track record of managing and transforming forecasting processes and the full RFP-to-invoice lifecycle.
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Hybrid
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$180,200
—
$313,000 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: Rochester, MN
Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.
As Via's
People Operations Regional Manager,
you will be supporting our local team in Rochester, and a number of Via services across the Central Region. This position is focused on supporting our frontline employees by overseeing HR processes such as policy implementation, compliance, employee support, and real-time issue resolution, all while fostering a positive and fair workplace culture.
This is a hands-on role — we’re a one-team culture, and you’ll be rolling up your sleeves to support across the board, whether it's stepping in for a short-term project, offering guidance to an employee, or diving into new HR initiatives. Collaborating closely with Via’s core HR team, you’ll act as a trusted partner, providing a safe space for feedback and ensuring strong relationships with our employees. With great judgment, attention to detail, and a focus on process, you’ll help shape an employee experience that aligns with Via’s mission.
**NOTE: this is a 5-day a week in-person role, primarily based in our Rochester, MN location with regular travel to other sites**
What You'll Do:
Own end-to-end employee lifecycle processes, including onboarding, off-boarding, pre-employment requirements, and documentation.
Manage workers’ compensation and unemployment claims, ensuring timely processing and compliance.
Serve as a trusted employee advocate, providing day-to-day support, handling inquiries and investigations, and fostering a positive, inclusive workplace culture.
Lead employee engagement and recognition initiatives to enhance overall employee experience.
Support payroll processes to ensure accuracy and compliance, administer employee benefits, including open enrollment, education, and support.
Maintain accurate employee records and ensure adherence to company policies and regulatory requirements.
Partner on recruiting efforts, including interviews, offer processes, and pre-hire screenings.
Lead sensitive employee relations matters, including terminations and required documentation.
Represent the company externally at job fairs and community events to attract talent and build brand awareness.
Act as a key liaison with local partners and vendors, supporting operational needs and strengthening relationships.
Collaborate with central HR teams to align on best practices and drive process improvements.
Who You Are:
Minimum of 3+ years of experience in HR operations, employee relations, talent acquisition or a similar role.
Experience working with unionized employee populations and understanding of collective bargaining agreements.
You’re comfortable with ambiguity and flexible in adapting to changing needs, always looking for creative solutions.
Knowledge of employment laws and regulations (e.g., FMLA, ADA, FLSA, etc.).
Strong interpersonal and communication skills with the ability to handle sensitive situations effectively.
Detail-oriented and highly organized with a process-driven mindset.
Proven ability to work in a fast-paced, dynamic environment and manage multiple priorities.
Based in the Rochester, MN area and comfortable working in person 5 days per week
Experience working with unions is a plus
Compensation and Benefits:
Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable
Salary Range: $70,000-$90,000 per year
We are proud to offer a generous and comprehensive benefits package.
Ready to join the ride?
Via is an equal opportunity employer.
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
Go To Market ("GTM") Systems builds and runs the platform that Sales and contracting operate on, a production Salesforce org plus a growing portfolio of custom internal applications and agents. These systems process revenue-impacting transactions, guide critical business processes, and produce data the rest of the company runs on. Today the path from request, development, test, and pull request to production push is manual and slows the team down rather than speeding it up.
We are hiring a DevOps / AgentOps engineer to build and run that path. You will stand up and maintain an AI-first CI/CD pipeline covering both Salesforce and custom application code. This release pipeline will support three modes: fully agentic, human-in-the-loop, and AI-assisted. Anthropic is an unusual place to do this. Our own frontier models are part of the toolkit and the question we want you to answer is what a delivery system looks like when you design it for agents and humans working side by side rather than retrofitting agents into a pipeline built for humans alone.
You will work closely with a team of business systems analysts, software engineers, and integration engineers to develop the solution to accelerate their everyday work. The pipeline you build is the one path to production for a system under audit, so the guardrails, approvals, and audit trail are part of the product, not an afterthought.
Key responsibilities
Design, build, and operate the CI/CD pipeline for a production Salesforce org and a portfolio of custom internal applications, from branching and validation through deploy and rollback
Define how a change is classified and routed into an agentic, human-in-the-loop, or AI-assisted lane, what gates each lane passes through, and how a change escalates between lanes when validation fails or risk changes
Build the agent operations layer: what agents are scoped to do in the pipeline, what tools and permissions they hold, how they are sandboxed differently for Salesforce and custom-app work, and what they are not trusted to do unsupervised
Implement approval workflows that keep PR review and business sign-off as distinct gates, with clear rules for which changes need which, who is asked, and what evidence they see
Own environment strategy, secrets handling, deploy observability, and kill-switch and rollback mechanics across all three lanes
Produce the audit trail and evidence a SOX-scoped platform needs
Measure and report on the pipeline itself: lead time, failure rate, share of work moving through each lane, and where humans are still doing work an agent should be doing
Pair with engineers on the team as they move onto the pipeline, and turn what you learn from them into better defaults
Minimum qualifications
Have built and run a CI/CD pipeline for a team, including the branching model, merge gating, and rollback path, and can explain the choices you made and what you would change
Have hands-on experience with Salesforce deployment mechanics (metadata API, source-tracked development, org-to-org promotion) or a comparable enterprise platform
Work fluently with AI coding tools and agentic workflows, and have opinions about which kinds of engineering work belong in the hands of an agent, which need a human review, and where the boundaries are
Design for the failure case: you think about blast radius, sandboxing, permissions, and what happens when an automated change is wrong before you think about the happy path
Are comfortable working across GitHub Actions or a comparable CI system, infrastructure as code, and the scripting needed to glue platforms together
Write clear design documents and can defend a design to engineers, business approvers, and auditors in language each of them will accept
Preferred qualifications
Have shipped agents or automation that operate inside a production system of record, and have dealt with what happens when they misbehave
Have operated a platform under SOX or a similar audit regime and know what evidence a change-management control actually requires
Have experience with Salesforce DevOps tooling (Gearset, Copado, sfdx-based pipelines) and know where those tools stop and custom work begins
Have run a migration from ad hoc or manual deploys to a governed pipeline and can talk about how you kept a team shipping while you did it
Have built approval or notification workflows in Slack or a comparable tool that people actually used
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$270,000
—
$315,000 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: Sydney, Australia | Remote-Friendly, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate.
We are looking for a Community Engagement Manager in Australia to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centres are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbour, from the earliest stages of site selection through construction and long-term operations.
You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organisations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand.
You will travel regularly within your region, up to 50% of the time, and occasionally to other Anthropic data centre markets.
Key responsibilities
Build and maintain trusted, sustained relationships with local councils, state government ministers and agencies, regional development organisations, community groups, civic leaders, educational institutions, and workforce partners in the data centre markets you cover
Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations
Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate
Represent Anthropic in public forums, town halls, planning hearings, community events, and local media
Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement
Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced
Work with the Communications team to develop proactive, locally relevant messaging
Coordinate charitable donations, community investment, and economic development commitments in your markets, including managing not for profit partner relationships
Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use
Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows
Minimum qualifications
Experience in community affairs, public affairs, economic development, government relations, local council or state government, or a closely related field
Direct experience working for or engaging with local councils, both elected councillors and council staff, and state governments on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out
A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations
The ability to represent a company credibly in public settings — town halls, hearings, press interviews
Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to
The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them
Based in Australia or willing to relocate there, and prepared to travel regularly across the region
Preferred qualifications
7+ years of experience in community engagement specifically on data centre, utility, energy, or large-scale industrial infrastructure projects, or in local government
Familiarity with land use, zoning, and planning approval processes at the local and regional level
Experience managing corporate social responsibility programs
Established relationships with economic development, workforce, or civic organisations in the markets this role covers
Experience working with real estate, legal, communications, and policy teams at the same time
A genuine interest in the communities where you work, not just the projects you are managing
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: Austin, TX | Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate.
We are looking for a Community Engagement Manager in Texas to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations.
You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand.
You will travel regularly within your region, up to 50% of the time, and occasionally to other Anthropic data center markets.
Key responsibilities
Build and maintain trusted, sustained relationships with local elected officials, government agencies, economic development organizations, community groups, civic leaders, educational institutions, and workforce partners in the data center markets you cover
Develop and execute a community engagement strategy for each of your markets, spanning site selection, pre-development, construction, and ongoing operations
Build external coalitions, host education and listening sessions, and design local solutions that deliver real benefits to the communities where we operate
Represent Anthropic in public forums, town halls, planning hearings, community events, and local media
Monitor community sentiment and local political dynamics, and advise internal teams on risks, opportunities, and the right pace and posture for engagement
Partner with the Real Estate and Infrastructure team to bring community input into how projects are planned, communicated, and delivered, not just how they are announced
Work with the Communications team to develop proactive, locally relevant messaging
Coordinate charitable giving, community investment, and economic development commitments in your markets, including managing nonprofit partner relationships
Partner with the Energy and Sustainability team to explain our approach to environmental stewardship and respond to questions about power, water, and land use
Build a community engagement playbook and repeatable processes that scale as Anthropic's infrastructure footprint grows
Minimum qualifications
Experience in community affairs, public affairs, economic development, government relations, local or regional government, or a closely related field
Direct experience working for or engaging with local governments and a broad set of community stakeholders on behalf of large infrastructure, construction, energy, or technology projects, with a working understanding of how local politics and community dynamics actually play out
A skilled relationship and coalition builder who earns trust with a diverse group of stakeholders, and who maintains relationships through difficult conversations
The ability to represent a company credibly in public settings — town halls, hearings, press interviews
Strong written and verbal communication skills, including the ability to turn a complex operational plan into plain language that a local official or reporter can understand and respond to
The ability to work independently, get up to speed quickly on complex policy issues, and manage multiple concurrent engagements across different markets without losing track of any of them
Based in Texas or willing to relocate there, and prepared to travel regularly across the region
Preferred qualifications
7+ years of experience in community engagement specifically on data center, utility, energy, or large-scale industrial infrastructure projects, or in local government
Familiarity with land use, zoning, and permitting processes at the local and regional level
Experience managing corporate social responsibility programs
Established relationships with economic development, workforce, or civic organizations in the markets this role covers
Experience working with real estate, legal, communications, and policy teams at the same time
A genuine interest in the communities where you work, not just the projects you are managing
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:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote-Friendly (Travel-Required) | Washington, DC
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
Governments do some of the most consequential work there is: deciding benefits claims, getting veterans to care, investigating financial misconduct, running unemployment insurance, and producing the analysis that world leaders act on. Anthropic's public sector team exists to put Claude in the production path of that work. In the US and some allied governments, Claude is already in daily use across major agencies and US states.
The next steps need a particular kind of product manager: someone who can walk into an institution they have never worked with, sit with the people doing the work and find, alongside them, the workflow that matters. The best government products we know of started as an idea that came out of the room rather than a requirements document.
The scope is large: a product portfolio here is a set of governments rather than a feature area. A year in, success looks like agencies delivering services more effectively because public servants are doing core parts of their job with Claude in the loop, and at least one thing that you learn from them shipping to every Anthropic enterprise. That is a lot of surface; you will have to choose where to go deep, and we will back the choice.
We are hiring across civilian, state and local, govtech, and national security portfolios and will match you to one on background and interest. Some portfolios require eligibility for a US security clearance, though most do not. You would be among the first product managers on the team, working with a dedicated engineering and research team and with the policy, go-to-market, customer success, and applied AI leads who already spend their days inside these agencies.
In this role, you will:
Alongside GTM, run discovery inside government institutions to find where Claude belongs in the production path of their work, then shape the product around what you find
Own product decisions for our government models and product offerings and the agency workflows built on top of them
Spot the government needs worth generalizing and carry them into Anthropic's broader roadmap. Many of Anthropic’s commercial features started as public-sector customer problems
Help Anthropic navigate government compliance regimes
Partner with our cloud and integration partners
You may be a good fit if you:
Have shipped successful products end-to-end. We weigh product judgment above any domain credential
Can point to something you built that was your idea: it came from watching people work rather than from a requirements document
Get things done through teams that don't report to you. In addition to the dedicated team, this role runs through a variety of partner teams inside Anthropic and many offices inside each agency.
Move on your own clock. You have shipped in an organization with a fast cadence, or you set the pace in an environment that didn't
Have built domain intuition fast in large enterprises that do not resemble each other
Are a US person. We have agreements with the US Government that mandate this for these roles.
Strong candidates may also have:
Roughly 7+ years building and shipping products, or equivalent scope
Real intuition for how government operates, earned either from the inside or at a digital services organization or by building products public servants actually use
Taken a public-sector or field requirement into a commercial product that succeeded
Fluency with AI products: evaluations, model behavior as part of the product surface
Shipped inside a FedRAMP, classified, or comparable compliance boundary
Negotiated with or steered large partners such as cloud providers or systems integrators
An active TS/SCI security clearance with the US government (relevant for only some roles)
Ability to travel up to 25% of the time
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:
$305,000
—
$385,000 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: Washington DC
Workplace: Remote
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey's Sales Manager, Public Sector leads our go-to-market into United States federal, state, and local government legal organizations. This is a build role. You will recruit and lead a team of Enterprise Account Executives covering federal agencies and state and local government, and you will own the number for the segment — quota, pipeline, forecast, and execution. Harvey already has active engagements at government agencies; your job is to turn early momentum into a durable, repeatable government sales motion.
WHAT YOU'LL DO
- Recruit, coach, and lead a team of Enterprise AEs across Federal and State & Local, including sourcing and closing the founding hires.
- Own quota attainment, pipeline generation, and forecast accuracy for the Public Sector segment.
- Build the public sector sales playbook from zero — qualification criteria, procurement path selection, security review sequencing, and fiscal-year timing.
- Carry a small number of strategic accounts personally through the first two quarters while the team ramps.
- Partner with the Head of Public Sector on channel strategy and on FedRAMP and StateRAMP/GovRAMP positioning.
- Work cross-functionally with Legal Engineering, Security and Compliance, Legal, and Finance to move agency security reviews, authorizations, and contract vehicles forward.
- Represent Harvey across the government legal and gov-tech community in Washington and in-market.
- Travel as required, including agency sites and Harvey offices.
WHAT YOU HAVE
- 8–10+ years of technology sales experience, including 3–5+ years managing public sector sellers.
- Personally carried and hit a public sector quota as an individual contributor before moving into management.
- Experience standing up a public sector sales team, region, or territory from scratch — not advising or supporting one that already existed.
- Fluency in government procurement: GSA schedules, GWACs, OTAs, sole-source and exemption pathways, FAR fundamentals, and state tender and cooperative purchasing processes.
- Comfort with long, non-linear cycles and fiscal-year budget dynamics.
- Ability to lead complex, multi-threaded sales spanning agency general counsel, CIO and CISO organizations, contracting officers, and end-user attorneys.
- Genuine conviction about the mission and about equipping public servants with frontier technology.
NICE TO HAVE
- Existing relationships across federal agency legal, CIO, or CISO organizations.
- Prior experience selling into legal departments.
- Experience managing a government reseller or channel relationship.
COMPENSATION
$400,000 - $440,000 USD OTE 50/50
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AD2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Munich, Germany
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI Engineer on our Enterprise team, your role is to guide some of Germany's largest businesses to the frontier of AI and help them deploy Claude into their operations, their products, and their ways of working. You will become the go-to Claude Platform specialist and trusted technical advisor for your customers, advising their engineering teams on architecture, agent design, and evaluation, and working with the C-level and senior executives who sponsor these programmes to show the business value Claude can create and help them reach a confident decision to build on Claude.
Enterprise deals are different. Procurement cycles are longer, more stakeholders are involved, and success depends on being able to connect the technical work to the outcomes the boardroom cares about. You will be as comfortable advising an engineering team on evaluation and architecture as you are presenting a value case to a CIO or CTO, and you will carry the technical thread across every stage of a multi-quarter engagement. Much of this work happens in German, with German executives and engineering teams, so native or fluent German is essential for the role.
You will partner closely with Enterprise Account Executives and Applied AI Architects to take each customer from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude. Once they have decided, you set their systems integration partner up to deliver, agreeing the target architecture and what good looks like, and you stay close as the customer's technical advisor on Claude throughout deployment, while the partner does the build. Working alongside Anthropic's Product and Engineering teams, you will use your knowledge of the Claude Platform to advise on evaluation, recommend architectures that meet enterprise security and scale requirements, and create the technical and business resources that help large organisations succeed with Claude.
Responsibilities
Partner with Enterprise Account Executives and Applied AI Architects to take enterprise customers in Germany from first conversation, through technical evaluation, proof of value and procurement, to the decision to build on Claude
Lead the technical side of each opportunity through to that decision, and remain the customer's technical advisor on Claude as they deploy
Set customers and their systems integration partners up to deliver: agree the target architecture, define what good looks like, and stay on hand to advise the delivery team as the build progresses
Guide enterprise customers to the frontier of AI, advising them on how to deploy Claude into their operations, their products, and their ways of working
Help customer engineering teams see how they would build on Claude, covering architecture, agent design and evaluation, so they can make a confident decision
Build and present the business value case for Claude with C-level and senior executives, in German and English, linking technical capabilities to measurable outcomes such as cost, revenue, risk, and time to market
Guide customers through long, multi-stakeholder procurement and adoption cycles, including technical evaluations, proofs of concept, security and architecture reviews, and a clear path to production
Work with Account Executives on account strategy, deal qualification, and executive engagement plans, and with Applied AI Architects to keep context and continuity across every engagement
Run executive briefings, technical workshops, and enablement sessions for both leadership and engineering audiences
Navigate enterprise requirements around security, compliance, data residency, and governance, working with Anthropic's internal teams where needed
Identify patterns across enterprise engagements and feed insights back to Product, Engineering, and the wider Applied AI team
Travel to customer sites across Germany for executive meetings, workshops, and relationship building
You may be a good fit if you have
Native or fluent German, written and spoken, as you will work day to day with German enterprise customers at both executive and engineering level
6+ years of experience as a Software Engineer, Solutions Architect, Forward Deployed Engineer, or technical founder
Experience in a pre-sales or technical advisory role selling into large enterprises, ideally in the German market, including scoping and designing complex solutions
Experience with value-based selling, meaning you can build a business case, quantify impact, and present it to senior decision makers
Comfort presenting to, and building relationships with, C-level and VP-level stakeholders
Experience owning the technical win in enterprise deals: evaluations, proofs of concept and technical due diligence with engineering, security, legal and procurement teams
Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale
A hands-on engineering background, including building and deploying production applications, so you can relate to engineering leaders and their teams
Familiarity with enterprise security, compliance, and architecture requirements, and experience working through them with customer teams
The ability to explain complex AI concepts clearly to both technical and executive audiences, and to move between industries such as financial services, healthcare, retail, and manufacturing
A passion for making powerful technology safe and beneficial
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: Singapore
Workplace: hybrid
Partnerships Sales Manager - Singapore
We are looking for a driven, entrepreneurial Partnerships Sales Manager to join our expanding global Partnerships team and support Sokin’s next stage of growth across Southeast Asia.
About us
Sokin is a next-generation B2B financial services provider, enabling businesses to make and receive global payments with greater speed, lower cost, and total transparency. Our mission is simple: we’re simplifying global business – so businesses thrive wherever they choose to grow.
We deliver services across:
Global payments and receivables
Foreign exchange (FX)
Treasury management
Finance reconciliations
We are rapidly expanding, with an established presence in EMEA, APAC and North America. Backed by strong global infrastructure and industry-leading partners, we are redefining how businesses move money worldwide.
Our clients span industries from sports and entertainment to logistics, travel and e-commerce. As our community grows, we’re building a team of exceptional people who share our ambition to transform the future of global payments.
The role
As Partnerships Sales Manager, you will identify, develop and grow referral and commercial partnerships that generate sustainable revenue for Sokin across Singapore and the wider Southeast Asian market. You will manage the partner journey from market mapping and initial engagement through commercial negotiation, activation and ongoing growth.
This is a hands-on commercial role for someone who can build trusted relationships, navigate regional opportunities and translate partner potential into measurable client acquisition and revenue. You will work closely with Sales, Marketing, Compliance, Product and Client Onboarding to deliver a seamless partner and referred-client experience.
Key responsibilities
Contribute to and execute the partnerships sales plan for Singapore and priority Southeast Asian markets, aligned with Sokin’s regional and global growth objectives.
Proactively generate new partnership opportunities through consistent outbound prospecting, networking, market research and referrals, building and maintaining a healthy pipeline across Singapore and Southeast Asia.
Identify, assess and prioritise high-value partnership opportunities across relevant sectors, including fintech, B2B credit, payroll, e-commerce platforms and growth agencies, systems integrators, professional services and other business ecosystems.
Build a strong regional pipeline through market intelligence, existing networks, targeted outbound activity, events, referrals and collaboration with Sokin’s global commercial teams.
Manage the partnership sales cycle, including discovery, qualification, business-case development, proposal creation, commercial negotiation and agreement finalisation, with support where appropriate.
Engage partner stakeholders and clearly articulate the value of Sokin’s global payments, receivables, FX and treasury solutions for partners and their clients.
Create joint go-to-market and activation plans that turn signed partnerships into qualified referrals, new clients and sustainable revenue.
Own and grow strategic partner relationships, monitoring performance, addressing challenges and identifying opportunities to deepen engagement.
Collaborate with Compliance, Legal, Product, Marketing, Sales and Client Onboarding to ensure partnerships are commercially sound, operationally executable and appropriate for the markets they serve.
Maintain accurate CRM records, pipeline reporting and forecasts, providing clear visibility of partner activity, conversion, revenue potential and risk.
Represent Sokin at relevant industry events and partner forums across the region, building market presence and trusted relationships.
Share regional insights and partnership best practice across the business, contributing to sales planning and the continued development of Sokin’s Partnerships function.
Requirements
4+ years of experience in partnerships, business development or B2B sales, ideally within payments, fintech, financial services, remittance, e-commerce or a closely related sector.
A proactive hunter mindset and the confidence to initiate new conversations, build relationships from scratch and maintain momentum through persistence, curiosity and disciplined follow-up.
A proven track record of originating, negotiating, activating and growing strategic partnerships that deliver measurable pipeline and revenue outcomes.
Strong knowledge of the Singapore business environment and experience developing commercial relationships across one or more Southeast Asian markets; a broader regional network is a strong advantage.
Experience managing multi-stakeholder sales cycles and building credibility with commercial and operational decision-makers.
Commercial understanding of cross-border payments, FX, treasury or related financial solutions, together with an awareness of the varied regulatory and operating environments across Southeast Asia.
Excellent negotiation, communication and stakeholder-management skills, with the ability to create compelling, value-led propositions for different partner types and markets.
Sound analytical and commercial judgement, with the ability to assess strategic fit, revenue potential, implementation requirements and risk.
Highly organised and self-directed, with disciplined CRM, pipeline-management, forecasting and reporting habits.
Comfort working in a fast-paced, international fintech or scale-up environment and collaborating effectively across functions, cultures and time zones.
Willingness to travel across Southeast Asia as business needs require.
Desirable
Previous experience in fintech, payments, financial services or another relevant finance-led environment.
A strong established network among prospective partners in Singapore and across Southeast Asia.
Additional language capabilities relevant to Sokin’s priority markets in Southeast Asia.
Bachelor’s degree in Business, Finance, Marketing or a related field, or equivalent professional experience.
Experience using modern sales tools and CRM platforms; Zoho experience is an advantage.
Working at Sokin
You’ll join an ambitious, international team in a fast-paced fintech environment, with the opportunity to shape Sokin’s partnerships presence in one of our key growth regions and make a visible contribution to our global expansion.
Please note: candidates must have the right to work in Singapore. Sokin is committed to building an inclusive workplace and welcomes applications from suitably qualified candidates.
Location: London, UK
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 Technical Deployment Lead on the Forward Deployed Engineering team, you will lead the delivery of custom agentic AI solutions for enterprise customers. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes
Each engagement runs from SOW through production deployment. Forward Deployed Engineers build the technical solution; you drive the delivery plan, product scoping, stakeholder relationships, and the organizational complexity of deploying agents into complex enterprise environments.
You need to be credible in architecture conversations with engineering leads and equally comfortable running executive briefings with C-suite sponsors. You won't write production code, but you'll pressure-test technical decisions and make real-time trade-offs on scope and priority when things go sideways on an engagement.
This is also a builder's role. We're in the early innings of an emerging motion - the playbooks, the delivery patterns, the repeatable IP that makes the next engagement faster and better don't exist yet. The TDLs who thrive here are the ones who get that codifying what works is as important as the engagement in front of them right now.
Responsibilities
Own the technical delivery plan for each engagement. Work from the signed SOW to a sequenced roadmap with clear milestones, dependencies, success criteria, and value hypotheses that FDEs execute against.
Lead delivery discovery. Map customer workflows and constraints in depth, pressure-test the scoped MVP against what you find, and shape the solution architecture with the FDEs.
Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Own product scoping during delivery. Author requirements, prioritize the engineering backlog, manage scope against success criteria, and hold the bar for what good looks like for the people and enterprises who will use the product.
Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
Contribute reusable delivery patterns. Capture what works on your engagements and feed field signal to the Programs Leads, Product, and Research.
Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
Run engagement-level delivery operations: sprint ceremonies, milestone reviews, and engagement reporting that feed the team's post-sales cadence and dashboards.
Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (up to 25–50% travel expected).
You May Be a Good Fit If You
Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
Operate like the CEO of your engagement. You take initiative without a mandate, make decisions with incomplete information, and lead rather than wait for instructions.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Have experience in a specialized vertical (life sciences, pharmaceutical, retail, mining, agriculture, etc.).
Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making - ideally across multiple workstreams in regulated industries.
Have executive presence - polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
Thrive in ambiguity and bring structure where none exists.
Have a builder's mindset - you're here to create a function, not just join one.
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:
£165,000
—
£230,000 GBP
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: Ukraine
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
The Kyiv Independent, Ukraine's leading English-language publication, is looking for a Business Development Manager to join their Commercial Partnerships team. In this role, you'll be responsible for identifying new business opportunities, building long-term relationships with international clients, and growing strategic commercial partnerships that support independent journalism.
What you'll do:
- Identify and develop new B2B business opportunities in international markets.
- Conduct outbound sales through cold outreach via email, LinkedIn, calls, and networking.
- Build relationships with international brands, agencies, NGOs, and organizations.
- Present The Kyiv Independent's advertising, branded content, sponsorship, event, and partnership opportunities.
- Lead the entire sales cycle, from prospecting and qualification to negotiation and closing.
- Prepare commercial proposals, presentations, and business correspondence in English.
- Coordinate commercial projects from initial discussions through successful delivery, working closely with internal teams.
- Prepare, negotiate, review, and coordinate commercial agreements and other contractual documentation.
- Own client relationships beyond the initial sale, serving as the primary point of contact throughout the partnership.
- Proactively identify opportunities for renewals, upselling, and cross-selling to generate repeat business and long-term partnerships.
- Maintain an organized sales pipeline and consistently achieve commercial targets using CRM tools.
What we're looking for:
- 2+ years of experience in B2B business development or sales.
- Proven experience selling marketing services, media advertising, digital advertising, or IT services through outbound (cold) sales.
- Experience working with international clients.
- Professional proficiency in English, both written and spoken.
- Excellent presentation, negotiation, and business communication skills.
- Experience managing commercial projects and coordinating multiple stakeholders.
- Experience negotiating and managing commercial contracts.
- Strong relationship-building skills with a customer-focused mindset.
- Demonstrated ability to develop long-term client relationships that lead to repeat business.
- Highly organized, proactive, and results-oriented.
- Ability to manage multiple opportunities simultaneously.
- Willingness to work a flexible schedule when needed to accommodate clients in North American time zones.
Nice to have:
- Existing network of international marketing agencies or brand contacts.
- Experience selling to clients in the US, UK, or Europe.
- Experience with HubSpot, Notion, Pipedrive, LinkedIn Sales Navigator, or similar sales tools.
- Interest in journalism, media, and current affairs.
What we offer:
- An opportunity to work for one of the world's leading independent media organizations covering Ukraine.
- The chance to build partnerships with global brands and organizations.
- Competitive compensation with performance-based incentives.
- Flexible work arrangements.
- Professional growth in a fast-growing, mission-driven organization.
- A collaborative, ambitious team committed to supporting independent journalism.
- Location: Kyiv (hybrid) / Remote within Ukraine
What’s next?
If this role sounds like a fit — we’d love to hear from you! Just send over your CV and anything else you’d like us to consider.
We’ll review everything within five working days, and if your background matches what we’re looking for, we’ll get in touch to set up a call and get to know each other better.
Location: Belgrade, Serbia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand.
You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production.
If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you.
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
What you’ll do:
- Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower).
- Participate in the full development life cycle, including design, implementation, quality polish, and release.
- Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization.
- Create and optimize complex database queries for data analysis and modification.
- Perform code reviews, and suggest improvements to tools and processes.
Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes.
What we are looking for:
- +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration).
- Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries.
- Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability.
- Ability to see the product through the user’s eyes and a passion for product excellence.
- Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding.
- Experience with CI/CD, docker, k8s as a plus.
- Ability to pass technical interview both in Russian & English.
- Hands-on, thoughtful use of AI tools in development.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Tbilisi, Georgia
Workplace: Remote
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand.
You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production.
If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you.
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
What you’ll do:
- Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower).
- Participate in the full development life cycle, including design, implementation, quality polish, and release.
- Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization.
- Create and optimize complex database queries for data analysis and modification.
- Perform code reviews, and suggest improvements to tools and processes.
Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes.
What we are looking for:
- +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration).
- Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries.
- Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability.
- Ability to see the product through the user’s eyes and a passion for product excellence.
- Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding.
- Experience with CI/CD, docker, k8s as a plus.
- Ability to pass technical interview both in Russian & English.
- Hands-on, thoughtful use of AI tools in development.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Krakow, Poland
Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance.
About this role:
At Sensor Tower, we process tens of terabytes of data to power insights used by thousands of customers. We’re looking for curious, motivated engineers who want to grow their skills while helping us build fast, reliable systems that make data easy to access and understand.
You’ll work closely with experienced engineers, contribute to meaningful features from day one, and learn how large-scale systems are designed, built, and optimized in production.
If you enjoy learning, solving problems, and shipping real software that users rely on, we would love to meet you.
Our Engineering Culture
We believe that "Simplicity is a prerequisite for reliability." We are looking for engineers who align with our core values:
- Simplicity: We avoid over-engineering. We prefer the tools we already have and the most straightforward solutions over "shiny new toys."
- Quality: We write code that is a pleasure to read because we know code is written once but read many times. We don't cut corners, and we polish to a high level before shipping.
- Extreme Ownership: We don't just do the minimum. We expect you to understand the "why" behind your work and own the ultimate goal of fixing problems at their root cause, avoiding temporary band-aids.
- Prioritization: We focus relentlessly on what is important, not just what is urgent.
What you’ll do:
- Improving and building new features for an app market intelligence SaaS platform focused on the SMBs (AppMagic by Sensor Tower).
- Participate in the full development life cycle, including design, implementation, quality polish, and release.
- Work on a variety of tasks, such as parsing, data aggregation, API design, refactoring, and performance optimization.
- Create and optimize complex database queries for data analysis and modification.
- Perform code reviews, and suggest improvements to tools and processes.
Backend stack: Golang, PostgreSQL, ClickHouse, MongoDB, Elasticsearch, RabbitMQ, GitLab, Docker, Kubernetes.
What we are looking for:
- +3 years of experience with Go (if you have lesser years of experience but have meaningful github contributions and other coding samples, this will be taken into consideration).
- Strong SQL skills (Postgres/ClickHouse). You know when to rely on an ORM and when to write raw SQL, and you're comfortable writing and debugging complex queries.
- Focusing on quality by writing testable code that simplifies debugging and ensures long-term reliability.
- Ability to see the product through the user’s eyes and a passion for product excellence.
- Curiosity & drive: a proactive approach to digging into sources yourself rather than relying on second-hand information, and an eagerness to understand why a project is valuable before you start coding.
- Experience with CI/CD, docker, k8s as a plus.
- Ability to pass technical interview both in Russian & English.
- Hands-on, thoughtful use of AI tools in development.
Fraud warning:
It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying.
To all recruitment agencies:
Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: London, UK
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
Join Anthropic's Customer Success team as an EMEA based Customer Success Manager as we pioneer the future of enterprise AI adoption. As a Customer Success Manager at Anthropic, you'll be the strategic partner and trusted advisor to our most complex customers across EMEA helping them harness the full potential of all our Claude capabilities - API, Claude for Enterprise, and Claude Code.
You'll develop genuine partnerships with customers, gaining a deep understanding of their business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us.
In partnership with the broader account team you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage (consumption & seat based) grows and evolves.
Your role focuses on helping customers scale their usage effectively, implement change management strategies, optimize use cases, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-market strategies — making you a key voice in shaping how we build and deliver ongoing value as a business.
As one of our early CSMs in EMEA, you'll be a pioneer - helping to build regional processes, establishing new customer relationships, and representing Anthropic's brand in a high-growth market. You'll operate with significant autonomy while maintaining strong alignment with global teams, requiring someone who thrives in ambiguous environments and can work effectively across time zones.
Responsibilities:
Build trusting, strategic relationships with key EMEA customer decision makers to understand their business and objectives, identifying opportunities for optimization and expansion
Become an expert in Anthropic's products across API, Claude for Enterprise, and Claude Code, understanding the technical nuances and best practices for each to guide customers to the right solutions
Leverage your deep knowledge of the customer and regional nuances to proactively drive usage planning, understanding current and future consumption/ adoption and how it creates realized value for the customer
Monitor usage patterns and identify optimization opportunities, proactively addressing underutilization across both consumption-based (API) and seat-based (Claude for Enterprise / Claude Code) products to drive full value from contracted commitments
Serve as the customer’s thought partner, enhancing their knowledge of Claude products by socializing Anthropic’s product roadmap, driving awareness on new products and engaging Product PMs as the voice of EMEA customers
Document and quantify customer value realized through business outcomes, ROI, and impact metrics to build compelling internal business cases for continued and expanded investment
Identify potential use cases and lines of business not currently onboarded, partnering with customers to discover new applications for Claude across different departments, teams, and workflows
Develop and execute change management strategies to drive end-user adoption and maximize value within customer organizations, including Train the Trainer programs, Center of Excellence development, and organizational enablement
Own the customer experience across their lifecycle — managing comprehensive account and success plans grounded in the customer's business objectives, conducting Quarterly Business Reviews, and serving as the primary conduit between the customer and Anthropic
Build Anthropic's brand and customer relationships as a member of the first in-region CS team, developing EMEA-specific processes, playbooks, and best practices where needed that account for regional business cultures
You may be a good fit if you have:
6+ years of experience in customer-facing roles (Customer Success, Consulting, Solutions Architect, Solutions/ Functional Consultant, Success Engineer or similar)
Experience driving success across both consumption-based and seat-based business models, with understanding of different expansion levers and success metrics for each
Technical fluency with ability to understand and articulate AI/ML concepts, API integrations, and software implementation patterns
Experience explaining and demonstrating technical products to various audiences
Strategic mindset to identify growth opportunities and translate them into actionable expansion plans
Cross-functional collaborator who represents the customer in a positive, proactive manner, rallying everyone around paths forward that solve customer needs
Strong project management skills and ability to manage multiple customer relationships
Passion for AI and interest in responsible development of advanced systems
Experience working in and building a growing region, while navigating across time zones with US-based headquarters
A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player
Native English and (Bonus) Fluency in French, German, Spanish or Italian
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:
£135,000
—
£165,000 GBP
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 Bay Area, USA
Workplace: Hybrid
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
ABOUT THE ROLE
We're looking for exceptional Machine Learning Engineers focused on Ads to help take Higgsfield's advertising platform to the next level.
You'll work at the intersection of large-scale machine learning, generative AI, and advertising systems—building the models and infrastructure that determine how creative is generated, ranked, optimized, and ultimately performs.
This role is for someone who understands ads systems deeply and is equally strong in modern generative AI. You should be comfortable moving across ranking and recommendation, targeting and optimization, prompt engineering, post-training, and production ML systems.
You'll help define what an AI-native advertising platform looks like from the ground up.
WHAT YOU'LL DO:
- Build and improve ML systems powering advertising products, including ranking, recommendation, targeting, prediction, and optimization.
- Develop models that improve ad creative quality, relevance, personalization, and performance at scale.
- Build systems that connect generative models with real-world advertising performance signals, creating feedback loops that continuously improve model outputs.
- Apply prompt engineering and post-training techniques to improve generative models for advertising and creative use cases.
- Work on fine-tuning, preference optimization, evaluation, and other techniques for adapting foundation models to specific creative and advertising objectives.
- Design and run experiments across creative generation, ranking, targeting, and delivery to understand what drives advertiser performance.
- Build production ML systems that operate reliably at significant scale, from experimentation through inference and serving.
- Work closely with Product, Research, Engineering, and GTM teams to turn advances in generative AI into products advertisers can use.
REQUIREMENTS
- Deep experience building machine learning systems for advertising.
- Strong understanding of ads systems, including areas such as ranking, recommendation, targeting, bidding, conversion prediction, creative optimization, or measurement.
- Hands-on experience with LLMs, multimodal models, or generative AI systems.
- Strong experience with prompt engineering and model evaluation.
- Experience with post-training, including techniques such as supervised fine-tuning, preference optimization, reinforcement learning, or related approaches.
- Strong software engineering fundamentals and experience shipping production ML systems.
- Ability to operate across research and engineering: you can experiment quickly, identify what works, and turn it into a scalable production system.
- High agency.
- Working English.
NICE TO HAVE
- Experience building ads, ranking, or recommendation systems at a major consumer, social, search, or advertising platform.
- Experience with generative video, image, or multimodal models.
- Experience using downstream signals such as CTR, CVR, ROAS, engagement, or retention to train or optimize ML systems.
- Experience with large-scale model training, inference optimization, or distributed ML infrastructure.
- Experience building AI systems that generate or optimize advertising creative.
COMPENSATION & BENEFITS
• We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.
• Base Salary: The anticipated salary range for this role is $165 - $230k, depending on experience, skills, scope, and location.
• Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth. •
• Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally
• The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.
• Significant ownership, direct impact, and opportunities for professional growth as the company scales.
This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.
Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual
San Francisco, CA | Seattle, WA
seniorChicago, IL; Los Angeles, CA; New York City, NY; San Francisco, CA
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ГибридSan Francisco Bay Area, USA; Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone