Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
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An overview of this role
Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams.
This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it.
What you'll bring
Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams.
High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands.
Force multiplier and raise the people and the codebase around them
Deep full-stack expertise, including strong proficiency in
Go, Ruby
and
Node
.
Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration.
Hands-on experience building production AI-powered tool orchestration.
Experience operating multi-tenant systems across SaaS and self-managed deployment.
Direct communicator who builds alignment across teams.
Bias to write things down and make reasoning legible.
What you'll own
Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem.
Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph.
Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies.
Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs.
Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed.
Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team.
Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward.
Mentor senior and intermediate engineers through design reviews, pairing, and code review.
Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity.
Take part in on-call or operational support where your team’s ownership model requires it.
About the team
Data Products work across three surfaces:
Dashboard and Reporting Framework
Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework.
Internal Ingestion
Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem.
External Ingestion
External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products.
We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$152,800
—
$259,200 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
Location: Lisbon
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Role: Forward Deployed Backend/DevOps Engineer
- Location: Portugal (Lisbon)
- Reports to: VP, Forward Deployed Engineering
- Working type: Hybrid (On-site at customer locations approx. 50% of time)
- Must be eligible and able to attain relevant national and NATO security clearances.
- Must be based in-country and native level speaker of the country you're deploying to.
WHY THIS ROLE MATTERS
In this role, you are the backend and infrastructure backbone defence and intelligence customers rely on. You deploy ICEYE's intelligence platform into secure (often air-gapped) environments and design the high-performance backend systems that move satellite data at scale — fast APIs, resilient services, tuned databases, automated infrastructure. Our stack: Python and Go services on Kubernetes, PostgreSQL and MongoDB, Terraform and Ansible, CI/CD pipelines that also run offline, cloud (AWS) and on-premises air-gapped clusters, with AI-assisted development as the default.
This is a ship-daily role: systems you build run mission-critical workloads analysts use to protect nations.
WHAT YOU'LL OWN
Platform deployment & operations
- Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centres).
- Install, upgrade and operate Kubernetes clusters and containerised applications (Docker) in customer environments — cloud and on-premises.
- Build infrastructure-as-code (Terraform, Ansible) and CI/CD pipelines that work without external internet access, including offline registries and artifact mirroring.
- Troubleshoot deployment and production issues in disconnected environments, from the application layer down to storage and networking.
High-performance backend systems
- Design and build APIs, services and data pipelines that handle large volumes of SAR imagery and intelligence data with low latency.
- Connect ICEYE systems to customer C4ISR infrastructure and intelligence tools through robust, well-designed integrations.
- Own database design and performance at production scale (PostgreSQL, MongoDB): schemas, indexing, tuning, replication and backup.
- Apply caching, queueing and horizontal scaling patterns deliberately — and capacity-plan for fixed on-premises hardware where you cannot simply scale out.
Reliability, security & observability
- Build monitoring, logging and alerting that work in restricted environments, so problems are found before the customer finds them.
- Harden deployments to meet customer security constraints; own backup, recovery and upgrade paths for systems that cannot go down.
- Run the infrastructure behind AI workloads shipped by the team — model serving, vector databases, GPU nodes — reliably and repeatably.
Customer engagement & rapid delivery
- Work embedded with intelligence analysts, operators and customer IT teams to understand operational and infrastructure requirements.
- Rapidly prototype and iterate (working systems first, polish later) to address immediate operational needs.
- Conduct hands-on training for customer administrators on platform operations.
- Feed deployment experience back to ICEYE's product and engineering teams as concrete technical requirements.
WHAT WE'RE LOOKING FOR
Must-haves
- 5+ years hands-on backend engineering building and operating production systems at scale.
- Strong programming skills in Python. You write typed, tested services and you are comfortable with async APIs. TypeScript is a plus.
- Proven experience designing high-performance backend systems: APIs, distributed services, messaging, caching and databases under real load. Experience with spatial, search, or vector workloads in Postgres is a plus.
- Production experience in both cloud (e.g., AWS) and on-premises environments — this role lives in both.
- Deep Docker and Kubernetes: deploy, debug, and upgrade clusters — not only consume them. GitOps and infrastructure-as-code experience. Pipelines that can run offline or on an isolated network are a plus.
- Observability as a habit: metrics, logs, and alerts are part of done.
- Infrastructure-as-code (Terraform, Ansible) and CI/CD experience, ideally including pipelines that run offline or in isolated networks.
- PostgreSQL and/or MongoDB at production scale: schema design, tuning, replication, backup and recovery.
- Observability as a habit: metrics, logging and alerting are part of done, not an afterthought.
- Builder mindset: ship fast, iterate with feedback, and prioritise working solutions over perfect architecture.
- Strong communication and customer engagement, able to work embedded with intelligence analysts / military operators.
- Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
- Willingness to travel 40–60% to customer sites within the region.
Nice to have
- Experience in defence, intelligence, or government operational environments.
- Deploying to on-prem data centres and/or air-gapped networks, including offline artifact and registry management.
- Event streaming and high-throughput data systems (e.g., Kafka or similar) at production scale.
- Deeper Kubernetes: operators, service mesh, multi-cluster, storage and networking internals.
- Security hardening and accreditation experience (system hardening baselines, audit and compliance in classified environments).
- Familiarity with geospatial data, satellite imagery, or remote sensing.
- Experience running infrastructure for AI/LLM workloads: GPU scheduling, model serving, vector databases.
- Active use of AI-assisted development tools as part of your daily workflow.
- Experience in defence tech (e.g., Palantir, Anduril, Scale AI, similar startups).
WORKING AT ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
HOW WE WORK (OUR VALUES)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
- Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the “why” behind decisions.
- See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
- Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
- Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
- Have fun: What we do matters—and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
BENEFITS
Our benefits are designed to support your health and wellbeing—at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
OUR COMMITMENT TO DIVERSITY, EQUITY AND INCLUSION
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us—we’ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at https://www.iceye.comiceye.com http://iceye.com
Location: Canada
Workplace: remote
About Xsolla
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
About the Role
We're looking for a Staff Engineer to own the smart wallet and account abstraction layer of Xsolla's Web3 platform. This is an individual contributor role with outsized technical scope: you'll be the technical anchor for how millions of players get an on-chain account they never have to think about — setting direction, making hard architectural calls, and raising the bar across the org.
Concretely, you'll own the account model behind Xsolla ZK, our zkSync-based L2, and the wallet that sits inside Xsolla App. Every player who signs in with Xsolla ID receives a deterministic, non-custodial smart account — derived from their identity claim, identical on every device, with private keys that never leave the client. That account is not a separate "wallet" screen: it is the player's inventory, and it backs minting, gifting, trading on our Bazaar marketplace, Merkle-based reward airdrops, gas sponsorship, and an in-app dApp browser that exposes the same signer to third-party applications through an EIP-1193 provider. You'll own the primitives underneath all of it: the ERC-4337 user operation lifecycle, EIP-7702 delegation, session keys and origin-bound Smart Sessions, paymaster and gas abstraction strategy, and the custody and recovery roadmap — including the move from raw key export to MPC custody.
You will own the strategy behind account abstraction, signing, and session management at scale, and evolve our smart account and permissioning model to meet both product and compliance needs. You operate with significant autonomy, but your decisions ripple across teams — so you'll spend real time building buy-in with engineering, product, security, and legal stakeholders, not just designing in isolation.
You are technically deep, calm under pressure, and comfortable being the escalation point when production wallet issues get hard — because in this domain, "hard" means a stuck user operation, a drained paymaster, or a signing prompt a player didn't understand. You write the RFCs and design docs that people actually read, and you create leverage for the broader engineering org through documentation, tooling, and mentorship — without needing a management title to do it.
Responsibilities
Own Smart Wallet & AA Architecture
— Own the technical strategy and architecture of our smart wallet platform, covering the account model, signing, session management, and gas abstraction at scale.
Design the Account & Signing Model
— Design and evolve our ERC-4337 user operation lifecycle (prepare → sign → submit → confirm), EIP-7702 delegation, deterministic address derivation from identity, and the session-key and permission primitives that let players act without a prompt on every transaction.
Own Gas Abstraction
— Set the paymaster and gas-sponsorship strategy: what we sponsor, how we meter and cap it, how we defend it from abuse, and how it degrades when sponsorship is unavailable.
Harden the dApp-Facing Surface
— Own the security model where our signer meets third-party applications: EIP-1193 / EIP-6963 provider behavior, origin-bound and policy-versioned sessions, trust tiers, and the transaction and signature confirmation flow. Define what a player is actually approving, and make sure the UI can prove it.
Drive Custody & Recovery
— Lead the custody roadmap from today's interim mechanisms toward MPC-based custody, and design recovery paths (passkeys, guardians, social recovery) that a non-crypto-native player can complete without losing assets.
Drive Cross-Team Technical Decisions
— Drive decisions on account architecture, SDK contracts, data modeling, and platform reliability, and build buy-in across the wallet, marketplace, SDK, mobile, and security teams.
De-Risk Proactively
— Identify systemic risks — key management, signature phishing, reorgs and indexer staleness, bundler and RPC dependencies, contract upgrade paths — and lead initiatives to resolve them before they become incidents.
Set Engineering Standards
— Define engineering standards, review critical code, contracts, and designs, and create leverage for the team through documentation, tooling, and mentorship.
Align with Stakeholders
— Collaborate with product, security, legal, and infra teams to align on roadmap and translate business and regulatory needs into well-scoped technical plans.
Own Production Escalations
— Serve as the go-to escalation point for complex production issues in the wallet and account abstraction domain.
What You Bring
Account Abstraction & Smart Wallets
ERC-4337 Depth
— Deep, hands-on understanding of ERC-4337: EntryPoint (v0.6 through v0.8), the UserOperation lifecycle, bundler and paymaster roles, validation rules (ERC-7562), gas estimation and its failure modes, counterfactual deployment, and signature validation for undeployed accounts (ERC-6492).
EIP-7702 & the Post-Pectra Landscape
— Working knowledge of EOA delegation, its interaction with ERC-4337 EntryPoint v0.8, and the trade-offs and risks it introduces (residual key authority, delegation phishing, storage collisions).
Smart Account Implementations
— Experience building on or extending production smart account implementations (Safe, Kernel, Biconomy, Coinbase Smart Wallet, or equivalent), and familiarity with modular account standards (ERC-7579 / ERC-6900).
Session Keys & Delegated Permissions
— Experience designing scoped, time-limited, policy-bound authority: session keys with TTL and contract allowlists, origin binding, permission revocation, and delegated-permission standards (ERC-7710 / ERC-7715).
Signature Schemes & Wallet Interfaces
— Practical command of EIP-712 typed data, ERC-1271 contract signatures, WebAuthn / passkey (P-256) signers, and the wallet-facing standards: EIP-1193, EIP-6963, EIP-5792 batched calls, ERC-7677 paymaster interfaces.
Production Wallet Experience
— Experience designing or operating a production smart wallet or account abstraction system serving real users and real value.
Production Crypto Track Record
Scale in a Major Crypto Organization
— Substantial engineering experience at a large crypto product or protocol organization — for example Coinbase, Kraken, Base, Safe, the Ethereum Foundation, Consensys / MetaMask — or a comparable wallet, exchange, or account-abstraction infrastructure team where wallet correctness and custody were core to the product.
Operational Judgment Under Value at Risk
— You have shipped and operated systems where a bug meant lost funds, and you can talk concretely about the guardrails, reviews, and rollback paths you put in place.
Smart Contracts & EVM
Solidity & EVM Fluency
— Ability to read, review, and write account, paymaster, and module contracts; gas-aware design; upgradeability and migration patterns; working effectively with external auditors.
L2 Specifics
— Understanding of L2 execution differences and how they affect wallet design: native account abstraction on zkSync-family chains, transaction and fee models, finality and reorg behavior, and RPC and indexer semantics.
Backend Engineering
Go Engineering
— Strong Go (Golang) engineering skills: idiomatic code, concurrency patterns, performance profiling.
TypeScript & SDK Design
— Ability to design and own client-side SDK surfaces in TypeScript that other engineering teams — internal and external — build on top of.
Distributed Systems
— Experience with distributed systems and their trade-offs (consistency, availability, failure modes), and with reconciling off-chain state against an authoritative on-chain result.
Data & Infrastructure
PostgreSQL
— Schema design, query optimization, migrations at scale.
Kubernetes
— Deploying, operating, and debugging services in a k8s environment.
Message Streaming
— Kafka or NATS — event-driven patterns, consumer groups, at-least-once delivery.
Git & CI/CD
— Git and modern CI/CD practices.
Security
Key Management
— Hands-on experience with key material in production: platform secure storage (Keychain / Keystore), HSMs, MPC or threshold signing, and the operational discipline around each.
Wallet Threat Modeling
— Solid grasp of the wallet attack surface: signature and delegation phishing, malicious dApp origins, replay and cross-chain replay, token approval abuse, and paymaster griefing and DoS.
Leadership
Cross-Team Initiative Leadership
— Proven ability to lead multi-quarter technical initiatives across teams.
Architectural Influence
— Track record of influencing architecture and standards beyond your immediate team.
Written & Verbal Communication
— You write RFCs and design docs that people actually read.
Nice to Have
Experience working in the video game industry, building or operating platforms for game developers, publishers, or players
Hands-on experience with the zkSync / Elastic Chain ecosystem (ZKsync OS, Matter Labs stack, native AA and paymaster flows, custom L2 operations)
Experience with embedded and ecosystem wallet providers or AA infrastructure vendors (thirdweb, Privy, Dynamic, Turnkey, Pimlico, Alchemy, Biconomy, ZeroDev, Safe{Core}) — and clear views on where to build versus buy
Experience with MPC / threshold custody, social recovery, or guardian-based recovery in a consumer product
Experience with NFT and token infrastructure at scale: ERC-721 / ERC-1155 / ERC-20 mechanics, marketplace contracts, Merkle-based airdrop and claim distribution, chain indexing services
Contributions to open-source wallet, security, or identity projects — including authorship or review of ERC / EIP standards
Familiarity with compliance requirements relevant to crypto consumer products: KYC / AML, geofencing, MiCA, SOC 2, ISO 27001, GDPR data minimization, audit logging
Experience with identity and auth integration for wallet derivation (OAuth 2.0 / OIDC, JWT verification, token scoping)
Background in platform or infrastructure engineering — building systems other engineers build on top of
Experience owning a mobile wallet surface (React Native / Expo, WebView provider injection, native signing UI)
Hands-on, up-to-date experience with modern AI tools (e.g. Claude, Copilot, Cursor) for code generation, review, and accelerating day-to-day engineering work
How We Work
Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship. Strong written communication is essential — your architectural decisions and designs need to stand on their own and be actionable without you in the room.
We value directness, technical depth, and follow-through. In this domain that means saying plainly when a design has custody, security, or reversibility implications, defending your position with evidence, and staying engaged until it's resolved. Where a decision touches player funds or key material, we expect the conservative call to be argued for explicitly rather than assumed.
Benefits
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
Scientists use Claude across the life sciences, from drug discovery and research biology to clinical development and manufacturing. To support that work, Anthropic introduced the Life Sciences Verification Program (LSVP), which gives verified life science professionals access to Claude with a refined set of safeguards that is more permissive for biology-related work. The program is in beta.We're hiring a Technical Program Manager to own the program of work that expands that access and helps scale it with safety in mind.
Each expansion depends on many teams at once and no single team owns the path end to end. You'll become the single owner of that program, the person who knows what each expansion requires, where every workstream stands, what it is waiting on, and who needs to decide. This is a cross-org execution role, not a research role, and it does not require a life sciences background. LSVP is the starting point, and the scope will grow alongside Anthropic's broader work in the life sciences. Over time, more of the life sciences community can get verified access, and each new expansion takes less bespoke effort than the last.
Responsibilities
Own the program for expanding access to Anthropic's life sciences verification programs: scoping, sequencing, dependencies, and tradeoffs across safeguards, platform, and product engineering teams
Scope and drive the cross-org engineering work that each expansion requires, from new plan and account types to new platforms
Partner with the product manager to turn program goals into a sequenced plan with clear owners and dates
Drive clarity on data access, retention, and review requirements, and on the changes they require across safeguards, access, and provisioning
Drive user experience scoping across the Claude product surfaces where the program is available
Find and remove the technical blockers that keep eligible organizations from accessing life sciences capabilities
Establish the operating rhythm: a single view of workstreams, owners, dependencies, risks, and status, with planning, escalation paths, and launch coordination across orgs
Convert recurring efforts into documented, repeatable processes so that each new expansion requires less bespoke coordination
You may be a good fit if you
Have several years of experience in technical program management, with a track record of successfully delivering complex, cross-functional programs
Have experience coordinating across multiple engineering teams and organizations simultaneously, including safeguards, platform, and product partners
Can engage meaningfully with the engineers doing the work, from platform and access systems to product surfaces
Are highly organized and can manage multiple parallel workstreams effectively across distributed teams
Thrive in unstructured environments with a knack for bringing order to chaos and creating clarity in ambiguous situations
Have excellent written and verbal communication skills, with the ability to influence without authority
Have worked on cloud or platform programs (preferred but not required)
Do not need a life sciences background. This is not a research role, and no life sciences experience is required
Are passionate about Anthropic's mission and interested in the challenges of bringing AI capabilities to the life sciences community safely and reliably
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:
$290,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: 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
Anthropic sells Claude through partners as well as directly. In the public sector, those partners matter more than anywhere else. As Channel Partner Manager, Public Sector, you will own Anthropic's reseller and distributor relationships across US federal, state and local government, and you will build the operations that let those partners transact with us quickly and cleanly.
Your time will be split roughly evenly between two kinds of work. The first is partner management. You will be the primary Anthropic contact for our public sector partners, agree on a joint plan with each of them, and work with our public sector account teams so that partner and direct motions support each other rather than collide. The second is channel operations. You will onboard new partners, instance an agreement for each of them, run deal registration, administer rebates, and keep the program's processes and records in order.
Every partner adds a fixed amount of operational work regardless of revenue, so the processes you build will determine how quickly public sector customers can buy. Much of this does not exist at Anthropic yet, and building it to a standard our partners and teams can rely on will be a large part of your first year.
You will work closely with Legal, Finance and with our public sector sales team on pipeline. You will also work with the public sector teams at the cloud providers and through cloud environments that meet federal security requirements such as FedRAMP.
Key responsibilities
Own Anthropic's relationships with our public sector partners, acting as their primary point of contact and building relationships with their public sector and alliance leadership
Agree on a joint business plan with each partner covering target segments, contract vehicles, pipeline, enablement and marketing, and run regular business reviews against it
Work with our federal, state and local, and education account teams to align partner and direct motions, clear conflicts early, and route each opportunity through the right partner and contract vehicle
Run partner onboarding end to end, from application and diligence through agreement execution, enablement and a first transaction
Own partner agreements with Legal, keeping contract vehicle coverage and program terms current
Own deal registration for the public sector channel, making sure registrations are submitted, validated and conflict cleared, and that every deal names its end customer
Manage partner rebates and program incentives with Finance
Build and run the channel's operating processes, including quoting, order handling and partner reporting, with clear service levels and documentation
Work with the cloud providers' public sector teams so that partner deals run cleanly through cloud marketplaces and authorized cloud environments
Forecast and report partner sourced pipeline and resale revenue for the public sector channel, and own that number with the reseller program and public sector sales leadership
Own partner escalations end to end, from billing and contracting questions to deal conflicts, and resolve them with the right internal owner
Represent what public sector partners and buyers need to the central reseller program team, and feed what you learn back into how the program works
Minimum qualifications
7+ years in channel, partner or alliances roles in enterprise software or cloud, including at least 3 years focused on the US public sector
Direct experience managing reseller or distributor relationships that sell to government or education buyers
Working knowledge of how public sector buyers purchase technology, including contract vehicles, two-tier distribution, and the role of resellers in public procurement
Working fluency in channel program mechanics, including deal registration, partner onboarding, margin and rebates
Experience running channel or partner operations, including agreements, program administration, reporting, and the systems behind them
Experience building processes and working rhythms from zero, and comfort joining a new program early
Clear written and spoken communication with Legal, Finance and Sales teams, and the judgment to hold program rules under commercial pressure
Excitement about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience with FedRAMP and with selling software that runs in authorized cloud environments
Experience with federal, state and education contract vehicles
Experience with cloud marketplace resale for public sector buyers, including private offers
Experience on the reseller or distributor side of a vendor relationship, as well as the vendor side
Familiarity with how government agencies and education institutions are evaluating and adopting AI
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$215,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy.
These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other.
Key responsibilities
Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale
Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools
Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling
Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level
Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox
Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution
Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers
Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios
Work with cloud providers on the hardware and platform features that our workloads depend on
Share knowledge on systems programming and Linux internals, and help set technical standards for the team
Minimum qualifications
Software engineering experience in Linux systems programming, kernel development, or another low-level area
Strong programming skills in at least one systems language such as Rust, C, C++, or Go
Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc
Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management
Experience profiling and debugging performance issues at the system level
Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results
Strong communication skills and a commitment to building safe, reliable systems
Preferred qualifications
Experience building or operating a multi-tenant sandbox, serverless, or code execution platform
Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore
Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code
Experience with eBPF and kernel tracing tools
Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP)
Experience with network isolation, high-performance networking, or building egress proxies and policy layers
Experience with sandboxes for AI agents, computer use, or reinforcement learning environments
Experience with GPU virtualization, accelerators, or performance work on machine learning workloads
Prior experience as a technical lead or mentor
Representative projects
Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools
Designing a network egress policy layer so agents can reach approved services without exposing secrets
Running many thousands of parallel reinforcement learning environments with strong isolation between them
Building tracing tools that attribute latency and resource use inside a running sandbox
Reducing per-sandbox memory overhead to raise density on each host
Hardening the runtime against escape attempts found in internal red-team exercises
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote, California, United States, AMER
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran is building data pipelines to power the modern data stack for thousands of companies.
We’re looking to hire a
Senior
Sales Engineer Enterprise
to join our Field Engineering team. As a Sales Engineer, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt.
You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business.
This is a full-time position based in the West Region.
Technologies You’ll Use
AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs
What You’ll Do
Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling
Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition
Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation
Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable
Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap
Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks)
Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion
Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community
Skills We’re Looking For
7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI
Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures
Hands-on experience with SQL, ETL/ELT, and data modeling
Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools
Ability to gather and translate technical and business requirements into concrete solutions
Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders
Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments
Optional Bonus Skills
Prior experience at an analytics, ETL, BI, or open-source software company
Hands-on experience with dbt Cloud or dbt Core or Fivetran
Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF)
Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend)
Experience with self-hosted software applications and supporting infrastructure
Hands-on networking experience, cloud and on-premise
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process
OTE (On Target Earning)
$218,491.87
—
$303,462.32 USD
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an International Accounting expert (APAC) to join our International Accounting team in Singapore. This role reports to our APAC Accounting Lead and is the first hire in our Singapore hub. In this pivotal role, you will build and implement the framework for local compliance across our APAC entities (Singapore, Japan, Korea, Australia and India), with an initial focus on Singapore, Japan and Korea, while flexibly adapting to our evolving needs as we scale. As a key contributor to establishing our regional accounting operations, you'll partner closely with our global teams while taking ownership of the processes and systems you help create. If you're looking for an opportunity to make a significant impact on the financial infrastructure of an innovative AI company at the forefront of safety, come join us in our mission to build cutting-edge, safe AI.
Responsibilities
Build and implement frameworks for local compliance across our APAC entities, ensuring alignment with both local statutory requirements and global standards
Establish and maintain frameworks for local financial statement review on a monthly basis, including local flux analysis and variance explanations
Participate in the development and implementation of international finance policies, adapting existing global policies for regional requirements and establishing local approval workflows
Execute monthly consolidation processes and eliminations across international entities, including journal entry preparation and booking, intercompany eliminations, and reconciliations, to ensure timely and accurate group-level reporting
Manage intercompany transactions and develop frameworks to support global scaling, including transfer pricing documentation and compliance
Handle foreign exchange (FX) transactions and develop monthly processes for currency consolidation and risk management
Perform comprehensive reconciliations of balance sheet accounts, ensuring accuracy and completeness of financial records
Support local statutory audits of the APAC entities, coordinating with external auditors and preparing comprehensive audit schedules and documentation
Support tax compliance framework development and implementation across international jurisdictions
Partner with US-based teams to ensure seamless integration of international operations with global financial processes
Leverage technology and tools to drive continuous improvement, automation, and operational excellence across international accounting processes, with a focus on finance transformation
You may be a good fit if you
Have 8+ years of accounting experience, preferably in high-growth environments with multi-country exposure across APAC
Have a bachelor's degree in Accounting or Finance, or equivalent practical experience
Are a qualified accountant with professional certification (CA, CPA, ACCA or equivalent)
Possess deep knowledge of US GAAP, IFRS, and the local statutory framework in at least one of Singapore, Japan, Korea, Australia or India, with strong understanding of statutory reporting requirements
Are proficient in Workday, NetSuite, or similar ERP systems, with experience building and optimizing accounting workflows
Have experience with consolidations, eliminations, and intercompany accounting processes
Demonstrate curiosity and initiative, with a strong drive to independently identify and solve problems
Are highly collaborative and able to build strong relationships across time zones and cultures
Ability to effectively communicate and influence in a globally distributed team
Take high ownership of your work and have the flexibility to adapt to changing needs and priorities
Exhibit strong organizational and time-management abilities with exceptional attention to detail
Strong candidates may also:
Have prior experience at a high-growth technology company, particularly in international operations
Bring FX experience including hedging strategies and currency risk management
Have worked with complex group structures and multi-jurisdictional consolidations
Demonstrate comfort with ambiguity and building processes from the ground up
Possess experience working across different time zones and cultural contexts
Have knowledge of AI/ML company dynamics and business models
Show passion for Anthropic's mission to develop safe and ethical AI systems, with enthusiasm for leveraging AI tools to drive automation and process improvement
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, New York, United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
About the Tavily at Nebius
In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.
Tavily provides the search and intelligence layer that powers AI agents and retrieval systems with trustworthy, real-time information. We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed.
About the Role
We're looking for a senior, full-stack analyst / data scientist to own Product and PLG analytics end-to-end. You'll own the metrics behind our self-serve motion (signup, activation, usage, conversion, expansion and retention)
and find the drivers behind them
. You'll work directly with our CEO and leadership as a thought partner on product and growth decisions.
This role is fully independent. When a question comes up, you take it all the way: from building the pipeline, model the data, train and deploy the model, analyze the results and come back with a clear recommendation. Nothing waits in a queue for someone else. You'll also work closely with the other analysts on the team, share methods and standards, and collaborate across Product, Engineering, Growth, Marketing and GTM.
What You'll Do
• Own Product and PLG analytics end-to-end: define, instrument and measure the self-serve funnel, from first API call through activation, conversion to paid, expansion and churn.
• Uncover the drivers behind top-level KPIs: which behaviors, use cases and product experiences predict activation, retention and monetization.
• Build what you need: data pipelines and models (SQL, dbt, Python, orchestration) that turn raw product, usage and billing data into trusted, reusable datasets.
• Build and ship predictive models (conversion propensity, churn risk, usage forecasting, lead and account scoring) and bring their outputs into product and GTM workflows.
• Design, run and evaluate experiments (A/B tests, pricing and packaging tests, onboarding changes) and apply causal inference where you can't run a clean experiment.
• Proactively monitor key business and product metrics, investigate trends and anomalies, and surface insights stakeholders can act on.
• Partner directly with the CEO and leadership on strategic questions, including pricing, growth levers, product bets and market opportunities, and turn ambiguous questions into clear analysis and decisions.
• Set the standard for how we measure product success: metric definitions, a shared source of truth and analytical rigor across teams.
What We're Looking For (Must-Haves)
• 5+ years of experience as a Product / Growth Analyst, Data Scientist or equivalent.
• 2+ years in a SaaS company, with deep understanding of funnels, cohorts, activation, retention, monetization and PLG dynamics.
• A strong statistical foundation.
• A proven record of working end-to-end on your own, from data engineering through modeling to a delivered recommendation.
• Strong hands-on experience using Python for data analysis, experimentation, machine learning and data modeling in a production environment.
• Comfort working with large, messy, event-level datasets.
• Hands-on experience building, validating and deploying predictive models (e.g., classification, forecasting, segmentation) that were used to make real business decisions.
• Demonstrated ability to influence business strategy through data and drive alignment across cross-functional stakeholders, including executive leadership.
• Strong communication: you can turn complex analysis into a clear, compelling story and a concrete recommendation.
• Experience with modern data tooling (Snowflake/BigQuery, dbt, Airflow, and BI tools like Omni/Looker/Tableau).
• BSc in Statistics / Math / CS or equivalent.
Nice to Have
• Experience at an API-first, developer-focused or PLG company.
• Experience with product analytics platforms (PostHog, Amplitude, Mixpanel).
• Experience with pricing and packaging analysis or usage-based billing models.
• Familiarity with LLMs / AI tooling, and using AI agents to speed up your own analytical work.
• Evidence that you build things on your own: a GitHub profile, portfolio, side projects or publications.
• MSc / PhD in Statistics / Math / CS or equivalent.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$179,000
—
$224,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Dublin, IE
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 EMEA Startups team works with the companies building AI-native products on Claude, from Seed through Series B and beyond. The Growth Account Executive owns a portfolio of startups that are already building on Claude and is responsible for growing that relationship: deepening Claude's role in the customer's product, structuring the commercial agreements that support their scale, and defending the account as the competitive landscape shifts.
This is a consultative role. Native AI companies move fast, change direction often, and make decisions on technical merit. Earning a seat at the table means building real relationships with founders and technical leaders, understanding their product and roadmap as well as they do, and helping them build on the frontier — bringing them the latest models and capabilities early, showing them what's possible, and turning that into adoption. Commercial outcomes follow from that trust.
You work closely with our Applied AI (AAI) team, who bring deep technical partnership to our highest-potential accounts, but you are expected to understand what each customer is building and identify the next use case yourself. Helping customers build on the frontier is part of this job, not something you hand off.
Responsibilities
Own a portfolio of high-potential AI-native startups across EMEA, with full accountability for revenue growth and retention
Build long-term, trusted relationships with founders, CTOs and technical leads, acting as their advisor on how to build with Claude
Help customers build on the frontier: bring new model releases and capabilities to them early, work through where they apply, and drive adoption into the core of the product
Develop use cases: understand each customer's product and roadmap, identify where Claude can go deeper, and make it happen
Structure, size and time usage-based commitments, including multi-surface agreements across the Claude API, Claude Code and Claude for Work
Navigate competitive pressure, including aggressive discounting, with a clear point of view on value rather than price
Partner with the Applied AI team on technical strategy for your accounts and coordinate their involvement where it creates the most leverage
Build and maintain relationships across the EMEA VC and accelerator ecosystem to source and qualify pipeline
Bring structured feedback from your portfolio to Product and Go-to-Market leadership
You may be a good fit if you have
5+ years of quota-carrying experience in consumption or usage-based sales at a cloud provider, infrastructure, data platform or developer tools company
A track record of expanding existing accounts: you have carried a growth or expansion number and understand how commits, credits and usage curves work
A consultative selling style, with evidence that customers treat you as an advisor rather than a vendor
Experience selling to early- and growth-stage startups and comfort with the pace and informality of founder-led companies
Enough technical depth to hold a credible conversation with a CTO about APIs, model selection and AI product architecture, and to recognise where a new capability fits
Existing relationships in the European startup, VC or accelerator ecosystem
Fluency in English; additional European languages are a plus
Strong candidates often have
Time inside a startup, not just selling to them
Hands-on experience building with LLMs, even on side projects
A history of describing wins by what the customer built rather than the size of the deal
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:
€155.000
—
€205.000 EUR
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: Tokyo, JP
About the Role
Miro is looking for an exceptional General Manager to lead our Japan business. Japan is one of Miro's fastest-growing markets, and that growth is about to accelerate: we've made a significant recent investment in a Japan Data Center, removing a long-standing barrier for enterprise customers and opening the door to a new tier of commercial ambition.
This is a business catalyst role. We need a senior executive who can drive an ambitious commercial agenda while building a team and culture strong enough to carry it, for our people and for the customers we serve. This person earns trust quickly, leads with transparency, and represents Japan credibly inside a global organization while being the external face of Miro Japan.
You'll lead a team that understands customers' most strategic challenges, knows exactly who the key stakeholders are, and helps those customers transform their business with Miro, all while building a Tokyo hub that people are proud to belong to.
What you’ll do
Commercial Leadership
● Set the strategy for Japan's High Touch Sales organization and own its execution
with clear accountability.
● Own an ambitious, sustainable growth target for the region.
● Win new logos, particularly lighthouse accounts, and drive wall-to-wall expansion
across the existing customer base.
● Build effective co-sell motions with partners: new logo acquisition into TSE-listed
parent companies, and expansion into their subsidiaries.
● Act as a trusted Miro expert for enterprise customers, credible with practitioners
and executives alike.
People & Culture Leadership
● Build a Tokyo hub culture grounded in transparency, strong team dynamics,
accountability, and psychological safety.
● Lead and develop a multi-layered team, visibly investing in coaching and growth.
● Act as a genuine bridge between Japan and JAPAC/global leadership, translating
strategy and context in both directions.
● Be an active, engaged member of the regional senior leadership team as well as
the cross functional global leadership team.
● Hold the standard we hold every leader to: how you lead people matters as much
as the results you deliver.
What you’ll need
Experience & Track Record
● 15+ years of experience across direct and partner-led sales.
● A proven track record in direct SaaS sales within enterprise segments.
● A demonstrable partner sales track record, including co-sell motions for new logo
acquisition and subsidiary expansion into TSE-listed groups.
● Experience leading through a layer of management, leading people managers
rather than only individual contributors, across a growing team of 20+.
● Country Manager or GM experience in a global company is a strong plus, as is a
background in SaaS, PLG, or collaboration software.
Leadership & Culture
● A track record of building trust with your team, stakeholders, peers, and
customers.
● Demonstrated ability to build or turn around team culture, backed by concrete
examples of impact.
● Strong experience operating in a global, matrixed organization and working well
amid ambiguity.
● A consistent, accountable, and transparent leadership style.
● A genuine investment in developing talent, evidenced by people on your team
who grew and excelled under your leadership.
What's in it for you
We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning & Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our
Global Miro benefits board
.
#LI-YN1
About Miro
Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
Check out more about life at Miro:
Youtube:
https://www.youtube.com/@lifeatmiro
Blog:
https://miro.com/careers/life-at-miro/all/
Instagram:
https://www.instagram.com/mirohq/
At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences.
Miro’s mission —
Empower teams to create the next big thing
— is how we think about our product, people, and culture.
We believe that creating big things requires diverse and inclusive teams.
Diversity
invites all talent with different demography, identities and styles
to step in
, and
inclusion
invites them to step
closer together.
Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
Miro handles and uses personal data of job applicants in line with its
Recruitment Privacy Policy
found
here
.
Location: United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
Overview
You lead the team that owns the analytical backbone of how the Operations Department understands its own performance. Sitting within the Strategic Operations & Analytics team, you manage a small team of analysts whose work is used every day by leaders across CX, Fraud, Payments, WFM, and VIP. You also remain directly involved in the work.
This is a hands-on manager role, roughly an even split between leading the team and doing the work. You will write and optimize SQL, review your team's models and analyses, and own complex cross-functional initiatives end-to-end. You will set the bar for that work, develop the people doing it, and be accountable for what the team ships. You’ll work closely with the Sr. Manager of Strategic Operations, who provides strategic direction, executive alignment, and support navigating priorities and cross-functional dependencies.
We are actively building toward an AI-first way of operating, and this team is central to it. The right person is technically sharp, relentlessly detail-oriented, and genuinely curious about both what the data is saying and how AI changes the way we find and act on answers. You move fast, own ambiguous problems, and hold yourself and your team to a high bar.
What You'll Do
Leading the team
Manage, coach, and develop a team of 2–3 analysts, including goal setting, regular feedback, performance management, and career development.
Set and hold the technical and analytical bar for the team's output, through direct review of SQL, dbt models, dashboards, and analyses.
Manage day-to-day prioritization across the team’s queue of Ops stakeholder requests, escalating broader tradeoffs and resourcing decisions to the Sr. Manager when needed.
Analytical work and insights
Personally lead complex, cross-functional analytical initiatives end-to-end from an ambiguous business problem through scoping, analysis, and a decision-ready recommendation.
Diagnose root causes in the data rather than symptoms, and translate the diagnosis into a concrete recommendation.
Lead scenario analysis and impact sizing for product initiatives, operational changes, and staffing decisions - shaping how the question itself gets framed.
Set standards and guide the team’s approach to Ops dashboards and reporting, ensuring leaders have clear visibility into performance through well-defined KPIs and documented assumptions.
Present findings to operational stakeholders and senior leadership, and defend your methodology under scrutiny.
Analytics foundations and automation
Own the quality and reliability of the dbt models and analytical datasets maintained by the Ops Analytics team.
Partner with central data teams as needed on upstream pipelines, data-platform needs, etc., representing Ops requirements and escalating reliability issues when needed.
Help the team replace recurring manual data pulls with maintainable reporting, automation, and alerting.
AI enablement
Partner with the Sr. Manager and Strategic Operations leaders on the Ops analytics AI roadmap, bringing an analytics perspective to use-case prioritization, data readiness, and validation.
Ensure the team provides the trusted data, metrics, and evaluation frameworks needed to support agent development.
Track and report on the performance of deployed agents against agreed-upon Ops goals.
Help establish where AI can be trusted in analytical workflows and where human review and judgment should remain in the loop.
Required Qualifications
6+ years in analytics, business intelligence, data analytics, or strategic operations.
2+ years directly managing analysts as direct reports
, including performance management, hiring, and career development. This is not a first-time manager role.
Advanced, hands-on SQL.
You write, QA, and optimize complex queries yourself today, and you review others' work at that level. This role includes a live, on-screen technical exercise.
Working fluency in dbt:
You can build and review models, make sound design decisions, and identify issues in your team’s work.
Demonstrated experience owning complex, cross-functional projects end-to-end, from ambiguous ask to stakeholder-ready recommendation.
Experience building and maintaining dashboards in Sigma, Tableau, or a comparable tool.
Strong stakeholder management: you communicate complex problems clearly to senior leaders and propose alternative approaches when the data warrants it.
High attention to detail - you and your team catch data quality issues before they surface in leadership reporting.
Preferred Qualifications
Experience supporting AI/ML workflows, agent builds, or automation initiatives.
Python or a similar scripting language for data manipulation and automation.
Familiarity with operational KPIs across customer support, fraud, payments, or workforce management.
Experience in gaming, fintech, or sports.
Bachelor's degree in Analytics, Computer Science, Statistics, Economics, or a related field.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-JM3
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$138,000
—
$170,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Santa Clara, CA
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
LG NOVA, LG Electronics North America Innovation Center
You are not applying for a job. You are here to found LG's next company.
LG NOVA builds new ventures and spins them out as real businesses. We are looking for a small group of founders to validate and launch the next one, with LG's balance sheet and government relationships behind them. We are recruiting now for our next Founder in Residence cohort, with the first 90 day validation sprint targeted to begin on
December 1, 2026.
This is a founding seat, not an advisory one. If the venture proves out, you lead it as Founder and CEO.
The mandate is open on purpose
We are not handing you a problem to solve. The strongest ventures come from founders who already see something the market has missed, so we are domain agnostic by design. While we stay open on the domain, we are focused on AI enabled software ventures with strong commercial potential.
We are looking for candidates with experience building, leading, or commercializing businesses at the core AI layer or adjacent products/tools, rather than mainly building applications using AI. The strongest candidates bring experience and a solid understanding of the AI lifecycle, including model training or fine tuning, evaluation, deployment, inference, optimization, and production scale operation. This experience may come from technical development, product leadership, or building and commercializing AI platforms and infrastructure businesses. Hands-on engineering experience is valuable but not required.
Relevant areas of business may include:
AI Management, Development Platforms
Agentic Coding, Dev Automation
Agent Orchestration, Workflow Automation
AI Safety, Security, Compliance
Data Infrastructure, Data Generation, Curation
Relevant experience may include model training infrastructure, inference and serving, model optimization, AI runtimes, agent infrastructure, orchestration, evaluation, observability, governance, data infrastructure, or AI native developer platforms. You should understand model and data pipelines, compute and performance trade offs, production reliability, and the economics of running AI systems at scale.
Strong preference goes to candidates who have built, led, or commercialized reusable AI infrastructure, platforms, or developer tooling that many applications or enterprise customers can build on. We value founders who can translate technical capabilities into differentiated, commercially viable B2B ventures, supported by strong customer relationships and a track record of generating revenue.
Bring the problem you have unfair insight into, the buyers you already know, and the conviction that it should exist as a company. Every venture in this cohort is AI native.
We are building software only, so no hardware, and nothing capital intensive to get off the ground. The industry is yours to pick, but for this cohort we are not considering health or clean tech, which sit with other teams at LG NOVA, so if that is your space this is not the cohort for it.
This is not an accelerator. We are looking for founders who want to build and validate a new venture from the ground up. If you already have a company or a product you are trying to push forward, this is not the right fit.
Who we are looking for
You are a domain operator with deep access to the buyers in your space. You have built or commercialized something real and have raised funding before. People in your industry take your call. Maybe you founded before, maybe you raised before, maybe you ran a business line that behaved like a startup. You move fast when the path is unclear, and you close.
The profile we want
Founder, repeat founder, or founding executive experience
Deep expertise and credibility in a specific industry or problem space
A live network of buyers and decision makers in your domain that you can call on
A track record of building, commercializing, or scaling something new
Comfort in ambiguity with a bias toward evidence and revenue
A clear view on why AI makes your venture buildable now and not three years ago
What LG NOVA offers
You get resources most early founders would fight for.
Competitive compensation at market rates while you do the work
A concept testing budget so you can put real money behind proving demand
A budget of up to $500K to carry a validated idea toward commercialization, setting you up for a Seed round
Government partnerships across multiple US states that open real doors to pilots, design partners, and first customers
An LG backed fund that gives validated ventures a direct path to capital, so you are not starting your raise from zero
Market research, market sizing, and financial modeling done alongside you, not billed back to you
Engineering services to help you test and build
Equity in the venture you validated and commercialized if it progresses to a Seed round
You validate. We resource it.
How the program runs
The program runs in two sprints.
Sprint 1 is 90 days of validation
. You define a specific high value problem, identify the economic buyer, test willingness to pay, and generate hard evidence that a venture should exist. The point is proof, not a product.
We run this in the open with you. You meet with us weekly to review progress and evidence, and at set checkpoints around Day 30, 45, and 60 we decide together whether to sharpen the concept, redirect it, or stop it. Redirecting or stopping a concept early is part of how this works, not a mark against you.
Sprint 1 ends with a panel review on Day 90. That panel decides whether the venture continues into Sprint 2.
Sprint 2 is around 180 days of building toward venture formation
. You move from evidence to commercialization, early customers, and the foundation of a company. If the venture earns it, you become Founder and CEO of a new business built with LG behind you.
What you will do
Develop and sharpen a venture thesis in a space you know cold
Run buyer discovery with the people who actually hold the budget
Pin down the economic buyer, the budget owner, and how they buy
Validate the pain, the workflow, and the real size of the demand
Design and test a paid pilot, a design partner program, or an early offering
Secure concrete evidence of willingness to pay, whether a paid pilot, a signed letter of intent with commercial terms, or a design partner agreement, from a named buyer
Build the commercialization plan and the business model
Bring back a recommendation grounded in what the market told you
What success looks like by the end
A clearly defined venture opportunity
A validated customer and economic buyer
Hard evidence of demand
A credible path to revenue
Signed design partners, pilots, or customer commitments
A commercialization plan that scales
Enough conviction that LG should invest and build
The details
This is a contract, hybrid role based in Santa Clara, California, structured as two consecutive sprints. It is a full-time, exclusive engagement. While you are in the program you are not building, advising, or holding an active role in another startup, including as a passive or part time founder. Your focus is this venture and nothing else.
Compensation is annualized and paid during each sprint.
Sprint 1, the first 90 days, pays an annualized equivalent of $180,000 to $200,000
, plus a dedicated concept testing budget.
Sprint 2, around 180 days, pays an annualized equivalent of $200,000 to $240,000,
contingent on completing Sprint 1 and being selected to continue into commercialization.
The ventures built here are LG ventures. The work and IP you create during the program belong to LG NOVA, and in return you share in the upside through equity if the venture progresses to a Seed round, and the path to Founder and CEO if it spins out.
We are selecting a very small, highly selective founding cohort for this round, so the bar is high and the opportunity is real. If your venture spins out and you step into Founder and CEO, your executive package, including salary, equity, and other terms, is negotiated separately as part of forming and financing the new company.
Location & Work Schedule
This hybrid role requires eight hours of onsite work each Tuesday, Wednesday, and Thursday at our Santa Clara office. Mondays and Fridays may be worked remotely.
#LI-JH1 #HYBRID
Recruiting Range
$180,000
—
$200,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Location: Tokyo, Japan
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 Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Key Responsibilities
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events
: Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
Product Feedback:
Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
Preferred qualifications
5+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Fluent in Japanese and English
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: Kuala Lumpur, Malaysia
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
About the Role
We are at an inflection point where AI is fundamentally reshaping what products can do and how users experience them. We're not just looking for a product manager — we're looking for a
hybrid product builder
who truly understands AI capabilities and can translate technical potential into real user value.
You will lead end-to-end product design for LLM / Agent-powered applications — from zero to one — across domains including intelligent customer service, personalized recommendations, AI assistants, and automated workflows. You are the critical connector between user insights, AI technical capabilities, and business objectives: someone who can discuss RAG retrieval strategies and multi-agent orchestration with ML engineers, while clearly articulating product value and delivery roadmaps to business stakeholders.
If you have genuine passion for AI-native products and the ability to define clear product direction amid ambiguity and rapid change, we'd love to build the next generation of AI applications together.
Key Responsibilities
End-to-End AI Product Lifecycle Management
Own the full product lifecycle of AI applications — including intelligent chatbots, AI assistants, recommendation systems, and automated workflows — from requirements definition and product design through to launch and delivery. Produce high-quality PRDs, interaction flow diagrams, and acceptance criteria while driving cross-functional teams to execute efficiently.
LLM / Agent Capability Productization
Deeply engage in Agent product design, including task planning workflows, tool-calling strategies (Function Calling / MCP), context management mechanisms, multi-agent orchestration logic, and graceful failure/fallback handling. Translate underlying model capabilities into meaningful, perceivable user value.
AI Evaluation Framework & Quality Standards
Build Harness evaluation frameworks for AI products — designing test scenario sets, evaluation metric systems (accuracy, hallucination rate, task completion rate, etc.), and regression test case libraries. Independently assess AI capability boundaries and drive continuous model iteration and product quality improvement.
Conversational Product Design & Knowledge Engineering
Lead platform architecture planning for intelligent customer service and conversational assistant products, covering knowledge base structure design, dialogue flow and SOP design, corpus annotation and training strategy, intelligent reply generation, and case summarization. Leverage large-scale data analysis to continuously optimize conversation quality and issue resolution rates.
Personalization Engines & Generative
UI
Products
Collaborate deeply with ML and data teams to design recommendation strategies that deliver truly personalized, individualized user experiences. Define generative UI product requirements and drive growth in core business metrics including CTR, conversion rate, and user retention. Establish comprehensive attribution analysis frameworks for recommendation effectiveness.
AI Capability Integration with Business Scenarios
Develop a thorough understanding of business goals and user pain points. Proactively identify opportunities to apply AI technologies — including RAG, Prompt Engineering, and multimodal capabilities — to concrete use cases. Define clear product evolution roadmaps that balance technical feasibility, user experience, and commercial value.
Cross-Functional Collaboration & AI-Native Product Culture
Act as the product Owner in close collaboration with algorithm, engineering, data, design, operations, and business teams. Maintain a strong sense of ownership in a fast-moving AI-native environment, continuously track industry developments, and rapidly translate emerging AI capabilities into product innovation opportunities.
Requirements
Product Experience
: 3+ years of product management experience, with at least 1 year of direct hands-on experience delivering AI application products, AIGC products, or Agent products. Must have fully shipped at least one AI-related feature module or standalone product.
AI Technical Understanding
: Deep understanding of the productization of mainstream AI technologies, including but not limited to: LLM Prompt Engineering, RAG (Retrieval-Augmented Generation) architecture, Agent fundamentals (tool calling / task planning / context window management), and conversational system design. Ability to independently evaluate the product feasibility of technical proposals.
Evaluation & Data Capabilities
: Proven ability to design AI product evaluation frameworks — independently defining evaluation metrics, building test case sets, and tracking product performance through data analysis. Familiarity with A/B experiment design and a strong data-driven decision-making mindset.
Documentation & Communication Skills
: Ability to write structured, logically rigorous PRDs, technical requirement documents, and flow diagrams. Excellent cross-functional communication skills with the ability to accurately bridge information between technical and business teams, eliminating information gaps.
User Insight & Product Thinking
: Sharp ability to translate ambiguous user needs into clearly defined product requirements. Skilled at finding the right product balance between AI capability boundaries and user expectations — avoiding both overpromising and underutilizing model capabilities.
Learning Agility & Ownership Mindset
: Sustained enthusiasm and capacity for continuous learning in a rapidly evolving AI landscape. Strong sense of ownership — able to proactively define problems, drive decisions, and take accountability for outcomes in highly ambiguous environments.
Nice to Have
Familiarity with cutting-edge AI engineering practices including
MCP
(
Model Context Protocol
), Function Calling, and multi-agent orchestration frameworks
(e.g., LangChain / AutoGen / CrewAI), enabling deep technical dialogue with engineering teams.
Experience with
AI Harness / Eval / Benchmark
platform product design or usage, with involvement in establishing and maintaining LLM evaluation systems.
Background in
Fintech / e-commerce / SaaS
industries, with an understanding of the unique product design requirements for AI in high-concurrency, compliance-sensitive environments.
Bilingual fluency in Chinese and English
(spoken and written), with the ability to independently drive product collaboration and cross-cultural communication within international teams.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: San Francisco
Workplace: OnSite
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
THE ROLE
Baseten is growing fast, and how we hire shapes what we become. As our Recruiting Operations Program Manager, you'll find where the recruiting team is losing time or quality, confirm it with data, and build and run the program that fixes it. Some of that work is quick, like a data pull for leadership or an Ashby answer for a recruiter. Some of it spans months and needs executive buy-in.
You'll identify, build and own programs end to end, from redesigning core recruiting processes to building and shipping A-powered tools that change how our recruiters work every day. You'll work across Ashby, Notion, Slack, and Claude, and treat AI as a core part of how recruiting runs.
RESPONSIBILITIES
- Build and lead large-scale recruiting programs end to end: secure leadership buy-in, manage timelines across stakeholders, and partner with our Recruiting Operations Data Analyst to use data to decide what to change and how to measure it.
- Break large, ambiguous problems into projects with clearly-structured phases, owners, and deadlines, and drive them through to adoption, not just launch.
- Analyze interview plans, pass-through rates, stage timing, and interviewer load in Ashby, and turn findings into concrete recommendations.
- Support operational asks from recruiters and leadership, and turn repeated asks into self-serve tools or documented answers.
- Build, pilot, and iterate on Claude-powered tools and workflows that solve recurring pain points across the recruiting team.
- Keep recruiting documentation – including interview guides, playbooks, SOPs, and training material – current, monitored, and easy to find.
- Propose and roll out process changes that make recruiting faster and more consistent, including the comms and training that make them stick.
REQUIREMENTS
- 3+ years in recruiting operations, program management, or a related operations role at a fast-growing company.
- Track record of building and running cross-functional projects end to end with clear project management rigor, from securing senior leaders’ buy-in to execution and close-out.
- Comfort pulling, analyzing, and presenting data, and turning it into clear recommendations.
- Clear, concise writing, including for executive audiences.
- Strong prioritization skills, with the ability to balance long-running programs with day-to-day asks.
NICE TO HAVE
- PMP or project management certification a strong plus.
- Hands-on Ashby experience, especially reporting and dashboards, or deep experience with another ATS, including using data and metrics to drive decisions and set priorities.
- Experience building workflows or tools with AI (Claude, ChatGPT, or similar).
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Customer Marketing Manager to make sure our most important messages are backed by customers who can speak to them. This role works across regions and customer segments on special projects tied to the company's top priorities.
When we launch a new model, feature, or initiative, you'll find the customers who can speak to it and get them on the record. We're looking for an excellent communicator who can turn customer stories into multiple formats that flex across channels. This often means working under compressed timelines and leading customer storytelling on some of the most important projects at Anthropic.
You'll work closely with Product Marketing, Sales, Brand, Comms, Customer Marketing segment leads, and the writers on our team. The right person has done both product marketing and customer marketing, and has a reporter's nose for a good story.
Key responsibilities
Own the customer evidence strategy for the company's top priorities, deciding which claims need customer proof, which customers are best placed to back them up, and where we have gaps to close
Bring what customers are telling us back to Product Marketing and Sales, so our messaging reflects what lands with buyers
Stand up new programs as company priorities shift, setting the scope, the customer list, and the plan to ship quickly
Lead the customer plan for major model and product launches, from which customers we engage with to how their voices show up in the announcement
Partner with Brand and Creative on which customer stories anchor our campaigns and how we tell them
Build proof point libraries and enablement around our key messages, so account teams know which story to use and when
Shape the customer narrative our executives use in keynotes, posts, and customer conversations
Prioritize customer asks when several teams want to tap the same customer, and work with Comms, Legal, and customer executives to get high-profile stories approved
Minimum qualifications
Can read a messaging doc and quickly spot what customer proof it needs and where the gaps are
Are a strong writer and interviewer who can get a customer to say something specific and true, then turn it into a story people want to read
Have supported product launches and campaigns with customer proof, often on tight timelines
Have built sales enablement that sales teams kept using after launch week
Are comfortable with technical products and can explain/write what a customer built, and why it matters, in plain language
Know how to work across a lot of teams without formal authority, and can say “not yet” when a request doesn't fit the plan
Have good judgment about when a story is ready and when it needs more work
Enjoy moving between very different projects, sometimes in the same week
Already use Claude to help with drafts and interview prep
Preferred qualifications
Have 7+ years in B2B marketing, with time in both product marketing and customer marketing
Worked in AI or developer tools
A background in journalism or editorial
A background in Product Marketing or Messaging
Written keynotes or LinkedIn posts for executives
Run message testing or win/loss interviews to learn what buyers respond to
Worked with Comms or analyst relations on announcements that featured customers
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:
$255,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
ГибридLisbon; Must be based in-country and native level speaker of the country you're deploying to
УдалённоCanada; Xsolla operates across multiple time zones, and the smart wallet underpins identity, ownership, and value transfer for every Web3 product we ship
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
juniorParis, France; London, United Kingdom; Lisbon, Portugal; Milan, Italy; Rome, Italy; Berlin, Germany; Athens, Greece; Barcelona, Spain; Bari, Italy; Split, Croatia; Copenhagen, Denmark; Oslo, Norway; Tallinn, Estonia; Limassol, Cyprus; Budapest, Hungary; Florence, Italy; Amsterdam, Netherlands; Stockholm, Sweden; Warsaw, Poland; Kraków, Poland; Lublin, Poland; Opole, Poland; Madrid, Spain; Alicante, Spain; Algarve, Portugal; Almería, Spain; Aarhus, Denmark; Aachen, Germany; A Coruña, Spain; Aalborg, Denmark; Biarritz, France; Bern, Switzerland; Bergen, Norway; Benalmádena, Spain; Belgrade, Serbia; Belfast, United Kingdom; Birmingham, United Kingdom; Bodrum, Türkiye; Bordeaux, France; Braga, Portugal; Brașov, Romania; Bratislava, Slovakia; Bremen, Germany; Brussels, Belgium; Bruges, Belgium; Bucharest, Romania; Burgas, Bulgaria; Cluj-Napoca, Romania; Cologne, Germany; Coimbra, Portugal; Cork, Ireland; Craiova, Romania; Dublin, Ireland; Dubrovnik, Croatia; Düsseldorf, Germany; Edinburgh, United Kingdom; Eindhoven, Netherlands; Essen, Germany; Frankfurt, Germany; Galway, Ireland; Gdańsk, Poland; Geneva, Switzerland; Genoa, Italy; Ghent, Belgium; Girona, Spain; Gibraltar; Gothenburg, Sweden; Graz, Austria; Hamburg, Germany; Iași, Romania; Innsbruck, Austria; İstanbul, Türkiye; İzmir, Türkiye; Karlsruhe, Germany; Košice, Slovakia; Kyiv, Ukraine; Larnaca, Cyprus; Leicester, United Kingdom; Leeds, United Kingdom; Leipzig, Germany; Le Havre, France; Lille, France; Limerick, Ireland; Liverpool, United Kingdom; Łódź, Poland; Ljubljana, Slovenia; Londonderry, United Kingdom; Lviv, Ukraine; Maastricht, Netherlands; Mainz, Germany; Málaga, Spain; Balearic Islands, Spain; Malmö, Sweden; Manchester, United Kingdom; Marbella, Spain; Marseille, France; Metropolitan City of Naples, Italy; Montpellier, France; Munich, Germany; Murcia, Spain; Newcastle upon Tyne, United Kingdom; Nice, France; Nicosia, Cyprus; Odense, Denmark; Nuremberg, Germany; Novi Sad, Serbia; Ostrava, Czechia; Palermo, Italy; Parma, Italy; Pécs, Hungary; Plovdiv, Bulgaria; Podgorica, Montenegro; Porto, Portugal; Prague, Czechia; Poznań, Poland; Rennes, France; Rotterdam, Netherlands; Saint Julian's, Malta; Saint-Étienne, France; Salzburg, Austria; Sarajevo, Bosnia and Herzegovina; Seville, Spain; Sheffield, United Kingdom; Sibiu, Romania; Skopje, North Macedonia; Sliema, Malta; Southampton, United Kingdom; Stuttgart, Germany; Tbilisi, Georgia; Thessaloniki, Greece; The Hague, Netherlands; Timișoara, Romania; Tirana, Albania; Torremolinos, Spain; Toulouse, France; Trondheim, Norway; Utrecht, Netherlands; Valletta, Malta; Valencia, Spain; Verona, Italy; Vitória da Conquista, Brazil; Vilnius, Lithuania; Vienna, Austria; Wexford, Ireland; Wolfsberg, Austria; Wrocław, Poland; Yerevan, Armenia; Zagreb, Croatia; Zadar, Croatia; Zürich, Switzerland; Faro, Portugal; Antwerp, Belgium; Baku, Azerbaijan; Basel, Switzerland; Birkirkara, Malta; Bologna, Italy; Brno, Czechia; Cardiff, United Kingdom; Celje, Slovenia; České Budějovice, Czechia; Chișinău, Moldova; Constanța, Romania; Coventry, United Kingdom; Crete, Greece; Daugavpils, Latvia; Debrecen, Hungary; Derby, United Kingdom; Dnipro, Ukraine; Dresden, Germany; Glasgow, United Kingdom; Helsinki, Finland; Heraklion, Greece; Kaunas, Lithuania; Kazan, Russia; Kharkiv, Ukraine; Lyon, France; Maribor, Slovenia; Moscow, Russia; Nantes, France; Naples, Italy; Newcastle, United Kingdom; Niš, Serbia; Nizhny Novgorod, Russia; Patras, Greece; Pljevlja, Montenegro; Pristina, Kosovo; Riga, Latvia; Saint Petersburg, Russia; Samara, Russia; San Marino; Sofia, Bulgaria; Turin, Italy; Varna, Bulgaria; Venice, Italy; Zaragoza, Spain; Zrenjanin, Serbia
San Francisco, CA | New York City, NY
Washington, DC
San Francisco, CA | New York City, NY | Seattle, WA
УдалённоseniorRemote, California, United States, AMER
Singapore; Are highly collaborative and able to build strong relationships across time zones and cultures; Possess experience working across different time zones and cultural contexts
seniorNew York City, New York, United States; We work with some of the most innovative teams in AI, from fast-growing startups to global enterprises, helping them build agents that are not only intelligent but informed
Dublin, IE; Strong candidates often have
Tokyo, JP; rather than only individual contributors, across a growing team of 20+; Miro handles and uses personal data of job applicants in line with its
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