Location: Munich
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Mid Market Account Executive at Harvey, you will drive the growth and success of our AI solutions within the legal and professional services markets. As part of the founding Mid Market team in DACH, you will be responsible for establishing and growing relationships with mid-sized law firms and corporate and financial services clients across DACH, understanding their unique challenges, and presenting AI solutions that streamline their processes and boost productivity. Your ability to articulate the value of Harvey's products, coupled with your passion for groundbreaking AI technologies, will help us shape the future of knowledge work.
WHAT YOU'LL DO
- Own your book of business by managing a named account list, prioritizing and cultivating inbound leads, and outbounding directly to high-potential prospects.
- Manage the full customer lifecycle from prospecting to contracting, onboarding, growing, and renewals.
- Achieve and exceed revenue targets and other key sales metrics.
- Build strong relationships with key decision-makers and stakeholders, understanding their pain points and aligning Harvey's solutions with their needs.
- Conduct high velocity, tailored client evaluations, including product demonstrations and presentations, showcasing the power of Harvey's AI systems to prospects and clients.
- Effectively work cross-functionally across the organization to shape Harvey’s solutions to meet customer needs. Collaborate closely with the engineering and product teams to stay updated on the latest AI advancements and tailor solutions to meet client goals.
- Develop our sales playbook to enable scaling, documenting learnings that can be applied across accounts.
- Travel may be required from time to time, including visits to customer office locations and company offices.
WHAT YOU HAVE
- Proven track record of selling complex software solutions, with the ability to successfully execute on a consultative, solutions-oriented, value-based selling methodology.
- Excited about prospecting, and capable of independently leading a sales cycle from start to finish.
- Ability to independently manage a pipeline, accurately forecast key sales performance metrics, and consistently maintain CRM hygiene.
- Ability to lead a complex, multi-threaded sale with stakeholders ranging from executives across various functions to day-to-day product users – especially the ability to convey technical concepts to non-technical audiences.
- Demonstrated passion for Harvey’s mission and strong understanding of AI and its potential applications in knowledge work. Interest in the legal profession and helping lawyers do their jobs better and more efficiently.
- Team player who can collaborate effectively across internal functions (product, legal, etc.) to achieve common goals.
- Energized by contributing to the development of our team, sales processes, and culture, refining the value proposition of our solutions and creating sales resources to drive our success.
- Fluency in English and German, both spoken and written
- Experience working in or adjacent to the Legal industry a plus but not required.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-KS2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Limassol, Cyprus
Workplace: fully
Sumsub
is the first AI-powered trust infrastructure for compliance operations at scale. It connects identity and business verification, fraud prevention, transaction monitoring, and risk workflows, helping teams reduce manual work and enter new markets.
Trusted by over 4,000 clients across financial services, crypto, mobility, trading, marketplaces, education, and iGaming, including Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, and Kaizen Gaming.
Sumsub is recognized as a Great Place To Work® in the US and rated 4.4 out of 5 on Glassdoor. Our 1,000+ people around the world back it up, too: 92% are proud to be Sumsubers, and 90% say their work is interesting and challenging.
We are looking for a
Senior Product GTM Lead, AML & TM
to drive the global scale, strategy, and market dominance of our AML & TM solutions.
In this role, you will act as the primary strategic and commercial authority for our AML & TM product ecosystem globally. You will own the overarching Go-To-Market strategy, shape high-value enterprise partnerships, and work directly with executive leadership to expand our global footprint. If you have a decade of hands-on expertise navigating complex AML & TM environments, regulatory frameworks, and enterprise sales, we want to hear from you.
What You Will Be Doing:
Global GTM Leadership & Strategy:
Architect, refine, and execute the end-to-end global GTM strategy for our AML & TM suite, expanding into new geographic markets and high-growth enterprise sectors.
Strategic Revenue & Market Growth:
Own top-line revenue growth and strategic targets. Identify untapped market opportunities, structural trends, and emerging regional demands to secure high-value enterprise accounts.
Product & Market Positioning:
Conduct deep competitive research and risk/regulatory assessments. Partner with Product and Regulatory teams to ensure our AML & TM solutions remain best-in-class across different regional landscapes.
Cross-Functional Collaboration:
Act as the strategic connective tissue between Sales, Product, Marketing, Legal, and Customer Success to ensure seamless execution of GTM initiatives and product adoption.
Large-Scale Enablement & Mentorship:
Design and execute enterprise-wide enablement programs (100+ team members across Sales, Pre-Sales, and Account Management) to elevate internal domain knowledge and sales execution.
About You:
5+ years
of sales experience, experience in selling AML or Financial Crime products is a-must
Deep understanding of the AML/CFT regulated industries, including regulatory frameworks and competitive landscapes
Demonstrated success in driving revenue growth, managing large enterprise deals, and expanding into new markets
Experience in designing and executing go-to-market strategies for regional and global expansion while staying agile in a fast-changing business environment
Have excellent interpersonal skills, including the ability to work across a matrixed organisation, influencing, negotiating effectively with leadership and peers
Experience in running large-scale education programs for 100+ people
Proficiency in using sales analytics, CRM tools (e.g., Salesforce, HubSpot), and data-driven decision-making
Bachelor's degree in Business, Marketing, or a related field; MBA preferred.
What We Offer:
Remote-first, trust-based culture.
Work from the place that works best for you. No mandatory office days, no attendance trackers. In some locations, we provide offices or coworking spaces, but the choice is yours.
True flexibility.
We do not fix you to a 9-to-5 schedule. You can adjust your working hours when needed, as long as your day stays productive and in sync with the team.
Extra time off.
Your birthday is a holiday here. Add to that 10 personal days each year, seven sick days without paperwork, and extra time to enjoy Christmas and New Year. Time to rest is part of the deal.
Work that matters.
Our mission is to build a digital world that is secure, accessible and inclusive for everyone. From fighting fraud to making online services easier and safer to use, your work will have a real impact on how people experience trust online.
Compensation.
We offer fair and transparent pay, benchmarked to the market.
Truly global.
We work across continents and time zones, with teammates and customers from all over the world. You will run campaigns that cross borders, cultures, and languages, and see your ideas land worldwide.
Growth built in.
Clear goals, open feedback and personal development plans. We support your progress with learning opportunities and by covering role-specific events, from design conferences to marketing forums.
Celebrating your big moments.
We are proud to support you through life’s biggest journeys with dedicated financial bonuses for both marriage and welcoming a new baby to your family.
Team offsites.
Sometimes just Slack is not enough. That is why we meet in person a few times a year. Trips are fully covered, so you can meet, collaborate, and recharge together.
Getting you set up.
We make sure you have access to the tools and hardware you need to do your work well.
Friendly by design.
Our logo is a dog for a reason. We keep things human, open and kind. We welcome individuality, quirks and different perspectives, because that is what makes our work smarter and more fun.
The hiring stages:
TA screening -> Hiring Manager Interview -> Assignment -> Final Interview.
Sounds like a great opportunity for your career development? Then go ahead and apply!
We are a global community of innovators, creators, and thinkers, and we believe that diversity fuels our innovation. Sumsub is proud to be an equal opportunity employer, committed to building a diverse and inclusive workforce. We welcome applications from people of all backgrounds, cultures, genders, experiences, abilities and perspectives. Join us in shaping the future inclusively.
We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.
We believe in fair and transparent compensation. Salaries vary depending on work location and applicable local market conditions.
This role is open to candidates in multiple countries, and compensation differs based on the candidate’s confirmed work location. For this reason, a single universal salary range is not included in this job posting.
The applicable work location will be confirmed early in the recruitment process, and the relevant compensation information for that location will be shared in writing, in line with local requirements.
Location: Germany
Location:
Remote within Europe, with regular presence in Bremen
Direct Reports:
None initially; technical leadership across the engineering group
Mission
Own the architecture of the software platform on which Constructor Labs' quantum group builds. The platform drives physical quantum hardware end to end — calibration, orchestration, experiment execution and device state — and must work both in our own cloud and on customer premises, including restricted and air-gapped environments. The Principal Architect sets the technical direction, makes the structural decisions, and is the senior engineering voice in a group where research and engineering sit closely together.
Responsibilities
Pillar 1 Platform Architecture
Own the end-to-end architecture across backend services, job orchestration, hardware abstraction and device state management.
Define the interfaces between the scientific layer and the platform layer so physicists can work without engineering support.
Make and carry the build-versus-buy and framework decisions; document them so they survive the people who made them.
Lead the migration of the platform onto the Constructor technology stack.
Success Metrics and KPIs: architectural decisions documented and adopted, platform stability, migration delivered to plan.
Pillar 2 Hands-on Engineering
Write production code in the core of the system, not only design documents.
Own the hardest components personally — those where correctness and performance both matter.
Set and enforce engineering standards: testing, review, structured logging, dependency governance.
Remove single points of failure so no component has only one person who understands it.
Success Metrics and KPIs: test coverage, review discipline, bus factor above one on every core component.
Pillar 3 Working with Research
Work day to day with research physicists, translating experimental workflows into software.
Keep the research and engineering collaboration model intact as the group grows.
Support the product function with realistic estimates and honest technical constraints.
Accountability: research team able to run experiments without engineering bottlenecks.
Requirements
Experience
10+ years building production software systems, with real depth in Python, C#/.NET or C++.
Distributed systems, job scheduling, and interfacing with instruments or physical hardware.
Track record as the senior technical voice in a small team.
Delivered software into on-premise and restricted environments, not only cloud.
Skills & Competencies
Able to hold an architecture in your head and explain it simply to people who are not engineers.
Comfortable in a scientific domain. A physics degree is not required, genuine interest is.
Pragmatic about trade-offs; able to ship rather than perfect.
Strong written communication. Decisions that are not written down do not exist.
Education & Languages
Degree in computer science, physics, engineering or equivalent practical track record.
Fluent English. German useful, not required.
What This Role Is (and Is Not)
This role IS
Deeply hands-on, with real authority over technical direction.
Central to everything the quantum group builds.
A role where you will have peers and a platform behind you.
This role is NOT
A management track role.
An architecture-committee or advisory position.
A role where someone else writes the hard code.
Location: Espoo; Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Flight Software Deployment Engineer
- Location: Warsaw, Poland/ Espoo, Finland
- Department: Flight Software Build & Release Team
- Reports to: Flight Software Build & Release Team Lead
- Employment type: Permanent
- Workplace model: Hybrid (3 days in the office)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
The Build & Release team owns the path from source to flight-ready software across growing satellite constellations. This role exists because every artifact that reaches satellites in orbit must be reproducible, traceable, and verifiable. A bad update is not a simple rollback, it could mean a satellite becomes at risk.
This is not a generic SRE or DevOps role, the production environment is composed of satellites flying 500 km above our heads, and the software artifacts are cross-compiled embedded binaries. The role is in the realm of half build engineering and half embedded Linux development, you need to be willing to work at both ends.
Satellites are treated to OTA updates regularly which our team must make sure are built and deployed the right way, utilizing software development best practices.
WHO WE ARE
ICEYE is the world leader in sovereign intelligence from space. We deliver persistent monitoring capabilities to detect and respond to changes in any location on Earth.
ICEYE owns the world's largest and most advanced SAR (synthetic aperture radar) satellite constellation. To our customers we provide intelligence with unmatched quality, latency and revisit times, in any weather, day or night. To governments who choose to operate their own constellation we provide this proven capability as a sovereign system.
ICEYE-built constellations serve customers in defence and intelligence, environmental monitoring, insurance and emergency management. We enable fast decisions that contribute to a safer future.
Founded and headquartered in Finland, ICEYE operates globally with over 1000 employees across Europe, North America, the Middle East, and Asia-Pacific.
YOUR DAY-TO-DAY RESPONSIBILITIES
- Hands on software engineering of our satellite on-board updating system, built to deploy software and firmware updates: features, maintenance, tests and documentation.
- Contribute to the build layer across the flight software domain, so every repository is built, versioned and packaged the same way.
- Enforce immutable releases and harden the packaging and signing pipelines: least-privilege permissions, pinned workflows and dependencies, approvals, and proper signing key management.
- Work with the Linux platform team on how updates land on the satellite on-board computers, covering packaging format, filesystem layout and access control, making sure what we build installs cleanly and safely.
WHAT WE’RE LOOKING FOR
Must haves:
- Embedded software engineering experience, with hands-on embedded Linux development: cross-compilation for ARM or similar targets, kernel configuration, device tree overlays, root filesystem and image construction.
- Production CI/CD experience for compiled artifacts, not only containers or web deployments. GitHub Actions specifically is required, and workflow hardening experience is valuable.
- Working proficiency in C and C++ build environments, and in Python and Bash for automation.
- Experience implementing release integrity controls, immutable artifacts storage. Signing key management, PKI and trust chains, AWS object-lock storage and cloud key management are all valuable here.
- Shipping software to embedded devices already in the field with a package-based update mechanism, ideally opkg, under controlled release processes, quality gates and formal sign-of
Nice to haves:
- Command of CMake, including multi-repository setups, toolchain files, and shared build infrastructure that other teams consume. Buildroot experience is relevant here.
APPLICATION PROCESS
- Conversation with talent acquisition (~30 min).
- Screening with the hiring manager (~60 min).
- Technical test - take home task to be completed in 3 to 5 working days.
- Technical deep-dive (~90 min).
- On-site office visit & director interview (~60 min).
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 iceye.com http://iceye.com.
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s APAC go-to-market organisation is the fastest-growing part of our international business, spanning markets with distinct languages, cultures and buying styles. Today, enablement for the region is delivered by our global and EMEA teams. As we scale in APAC, we are establishing an initial in-region enablement presence, based in Sydney and supporting the field across the region.
As Enablement Lead, you will be hands-on in getting the APAC field ready: onboarding, ongoing skill development, manager coaching support and launch readiness, across GTM functions, not just sales. You will spend most of your time in the room, running sessions, building programmes and working directly with sellers and managers, in the time zones and languages where customer conversations happen.
This is a build role with a global spine. You inherit a working global and international enablement engine. Your job is to adapt it for APAC, deliver it across the region, and feed what you learn back into the international and global programme.
How we work: adults learn by doing, so we build sessions around live activity: practice, reflection, real customer scenarios. The measure is not what was covered in the room. It is what changes a week later in how people think, decide and sell.
This takes creativity and a solid understanding of how adults learn, applied at speed. The frontier moves quickly and the field is scaling fast. Much of the work is unlearning: helping experienced sellers let go of pre-AI habits, not just teaching new ones. AI is what makes this scalable: endless practice partners, personalised scenarios from real deals, feedback minutes after a call. You will use it that way, not to generate more content.
Key responsibilities
Set up the APAC enablement rhythm: in-region onboarding cohorts, live practice-based sessions in APAC time zones, and a feedback loop into the global programme
Adapt the international portfolio for APAC, where content for several markets needs to be written and translated ahead of delivery
Personally design and facilitate deal walkthroughs, role-plays and customer-conversation rehearsal, favouring practice over presentation
Partner with regional GTM leaders to build a coaching standard that scales as the manager layer grows
Own launch readiness for the region, so that when a new model or product ships, the APAC field is certified and conversation-ready in the same week cycle as everyone else
Build the measurement habit: track what the field does differently afterwards, not content shipped or attendance
Minimum qualifications
8+ years in GTM enablement, sales productivity or similar roles, including experience leading or running enablement programmes
Experience delivering GTM enablement in APAC, ideally across more than one of the region’s markets
Experience influencing beyond your own team or region, such as a programme adopted elsewhere or a senior stakeholder whose decision you changed
Hands-on track record designing and running practice-first enablement, measured by changes in field behaviour
A working understanding of how adults learn, and comfort helping experienced sellers unlearn pre-AI habits
Creativity with AI in your craft: personalised practice, real-deal scenarios and fast feedback rather than more content
Experience owning programmes end to end, from design through delivery and measurement
Experience enabling a field across languages and cultures, and knowing what breaks when English-first content ships as-is
Comfort working with sales leaders as a peer, including pipeline reviews, deal inspection and forecast conversations
Good judgement on when to adapt global programmes and when to adopt them as-is
Strong candidates may also
Have held both a global and an APAC enablement role
Have run enablement delivered across multiple APAC markets
Have helped build or scale an enablement function
Have carried a quota or led sellers earlier in their career
Have enablement experience in AI, developer platforms or technical products sold to both executives and builders
Have built manager or coaching programmes, not just individual-contributor enablement
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: Espoo
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Staff Product Designer
- Location: Espoo, Uusimaa, Finland
- Department: Product Management
- Reports to: Product Design Director
- Employment type: Permanent
- Workplace model: Hybrid (3 days / week in office)
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
This is the kind of project designers wait years for. You'll be the design lead and hands-on builder on one of the most exciting products we're working on: a largely greenfield space where AI and LLMs meet serious data intelligence and where the problems are genuinely hard, the kind nobody has solved before, because the product itself is new territory. We can't say much more here (some things we build, we keep quiet about) but if the idea of turning cutting-edge intelligence into something people can actually use makes your fingers itch, this is it. You won't inherit a design system or a roadmap but you'll shape both. And you won't do it alone: we're building a world-class design team from a small core and early hires like you set the bar for everyone who comes after. This role is for a builder, an IC who gets their energy from making things, not managing them
WHO WE ARE
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
YOUR DAY-TO-DAY RESPONSIBILITIES:
- Own design end to end for the product: from fuzzy problem to research to concept to polished, shipped UI. No handoffs, no "that's another team's job."
- Get out of the building (or into the ground station). Talk to users regularly, watch how they work and turn what you learn into design decisions everyone can get behind.
- Make the complex feel simple. Take AI, LLM and data-heavy workflows and turn them into experiences that feel obvious in hindsight.
- Prototype fast and often. Test ideas with real users and real data before we commit engineering time and kill your darlings when the evidence says so.
- Work elbow to elbow with engineers, data scientists and product. You're in the room when problems get framed, not just when screens get requested.
- Set the design foundations. As one of the first designers on this product, you'll shape the patterns, quality bar and ways of working that everyone after you builds on.
- Push the craft. Sweat the details, raise the bar on every release and give (and take) sharp design feedback.
WHAT WE’RE LOOKING FOR
MUST HAVES:
- Your craft is genuinely top-tier and your portfolio proves it. Sharp UX thinking, beautiful execution, obsessive attention to detail. We'll look closely so bring work you're proud of down to the last pixel.
- You've designed for data products, ML or AI, and you have opinions about it. You know what makes these experiences tricky and you've wrestled with at least some of it in real work.
- You've shipped design work that actually changed something. Adoption went up, churn went down, customers stopped swearing at the product. You can tell us what happened after you hit publish, ideally with numbers.
- You're a bit obsessed with users. Nobody has to send you to talk to customers; you're already there, asking awkward questions and coming back with your assumptions rearranged.
- You get a kick out of messy, ambiguous problems. There's no playbook here, half the time nobody knows what the answer is yet, and that's exactly where you do your best work.
- You own your stuff. The wins, sure, but also the faceplants. You'll tell us what went sideways, what you learned and what you'd do differently, without us having to drag it out of you.
- You make things happen without being asked. No design ops, no ticket queue, no waiting for permission. You spot what's needed, rally the right people, and ship.
NICE TO HAVES:
- You've designed in a properly technical environment, elbow to elbow with engineers or scientists, on systems with real complexity under the hood.
- Satellites genuinely excite you. If you've ever fallen down a Wikipedia rabbit hole about Earth observation at 1am, we should talk.
APPLICATION PROCESS:
- Recruiter screen
- Hiring Manager Interview
- Portfolio Review
- Assignment + Panel interview
- CPO interview
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 and we will 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 iceye.com http://iceye.com.
Location: Mumbai, India
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As an Applied AI team member at Anthropic India, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping large enterprises across India and the Asia-Pacific region understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with both the Claude API and Claude for Work
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel occasionally within India and the APAC region to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
Collaborate across time zones with global teams while serving as the technical expert for the India market
You may be a good fit if you have:
10+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience working with enterprise customers in India or the APAC region, navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Comfortable with Python
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
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
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
Ability to work effectively across cultures and time zones as part of a global team
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: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
Location:
Indianapolis, IN Metro (Hybrid / 3-Day Onsite)
(Open to Regional/EST Candidates with Onsite Travel)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7)
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking a Senior Machine Learning Engineer with extensive experience in production MLOps, model deployment, and system scaling to drive ML engineering initiatives for a top-tier life sciences client. This role sits at the critical intersection of production ML infrastructure, life science research, and manufacturing process engineering.
In this position, you will own the architectural design and hands-on execution of production ML systems, model integration APIs, and scalable MLOps pipelines. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise.
Key Responsibilities
Production MLOps & Systems Architecture
Design, deploy, and maintain robust, production-grade MLOps pipelines and infrastructure for continuous model training, deployment, versioning, and monitoring.
Implement automated model drift detection, performance monitoring, and self-healing inference pipelines in high-reliability environments.
Process Engineering & Manufacturing ML Integration
Operationalize and integrate production ML models into operational technology (OT), API manufacturing workflows, and chemical process control systems.
Deploy predictive models for batch processing, process control optimization, real-time quality assurance, and facility automation use cases.
Scalable Inference & System Integration
Build low-latency, high-throughput microservices and serving architectures (FastAPI, Triton Inference Server, TorchServe) for model deployment into live production applications.
Containerize and orchestrate ML workloads across distributed cloud and edge systems using Kubernetes, Docker, and modern pipeline engines (Kubeflow, MLflow).
Technical Leadership & Domain Alignment
Partner directly with chemical engineers, computational biologists, and software architects to translate operational friction into production-ready ML engineering solutions.
Establish enterprise MLOps standards, model governance, and CI/CD best practices across the full machine learning operational lifecycle.
Requirements
Experience & Mindset
Experience: Senior-level proficiency (10–20+ years) in software engineering, MLOps, production ML system deployment, and infrastructure scaling.
Domain Adaptability: Demonstrated ability to deploy and maintain production ML systems across non-standard, highly specialized domains (e.g., transition between process/chemical engineering ML and clinical/scientific research applications).
Location & Work Auth: Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area.
Culture & Communication: Pragmatic problem-solving mindset, strong collaborative drive, and the ability to articulate complex MLOps architecture to cross-functional engineering teams.
Must-Have Technical Stack
Languages & Frameworks: Advanced Python, C++, and deep proficiency with PyTorch, TensorFlow, or Scikit-learn.
MLOps & Serving: Proven expertise with Triton Inference Server, TorchServe, MLflow, Kubeflow, or Databricks ML runtime.
Infrastructure & Orchestration: Hands-on expertise with Kubernetes, Docker, CI/CD pipelines, FastAPI/gRPC, and cloud platform ecosystems (AWS/Azure).
Monitoring & Integration: Experience building real-time model monitoring, feature stores, drift detection systems, and integration with enterprise data pipelines.
Domain Competency (Scientific & Process Focus)
Deep exposure to applying ML models in either scientific/clinical domains (drug discovery, small/large molecule, computational biology) OR chemical/process engineering environments (API manufacturing, batch processing, SCADA/MES integration, process optimization).
Nice-to-Haves & Certifications
Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline.
Direct experience operationalizing ML models inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors.
Certifications: AWS Certified Machine Learning – Specialty, Databricks Certified Machine Learning Professional, or equivalent MLOps credentials.
What This Role Is NOT
Not a Data Scientist or Exploratory R&D Specialist: You will not be focusing on exploratory data analysis, academic algorithms, or standalone Jupyter notebook modeling; you are building, scaling, and maintaining production MLOps pipelines, inference engines, and model integration code.
Not a non-coding Architect: This is a 100% hands-on MLOps and software engineering lead role requiring direct model deployment, infrastructure creation, and technical execution.
Not a Fully Remote Position: This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.
Location: Indianapolis, United States; Chicago, United States; Cincinnati, United States; Columbus, United States; West Lafayette, United States; Bloomington, United States
Location:
Indianapolis, IN Metro (Hybrid / 3-Day Onsite)
(Open to Regional/EST Candidates with Onsite Travel)
Contract Type:
Contractor Full-Time / Enterprise Project Engagement (Outsourced via Xenon7)
About Xenon7
Where elite tech talent meets world-class opportunities! At Xenon7, we work with leading enterprise clients and innovative startups on high-impact projects across Data, AI, Cloud, and Software Engineering. Our expertise in AI solution architecture and specialized technical talent allows us to partner with enterprise leaders on transformative initiatives, driving innovation and business growth.
Job Summary
We are seeking a Senior Data Engineer with extensive experience in data architecture and platform engineering to drive data initiatives for a top-tier life sciences client. This role sits at the critical intersection of scientific research informatics, clinical data systems, and manufacturing process engineering.
In this position, you will own the architectural vision and hands-on execution of scalable data platforms and pipelines. You will bridge complex data domains—from small and large molecule research, genomics, and clinical trial datasets to active pharmaceutical ingredient (API) manufacturing processes, batch data, and industrial control systems. Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, clinical scientists, and platform teams to build high-performance data infrastructure that accelerates drug discovery and manufacturing operations.
Key Responsibilities
Scientific & Clinical Data Platform Architecture
Design, build, and maintain production-grade data pipelines and architecture tailored for scientific, clinical trial, and research informatics data (small/large molecule, genomics, proteomics, LIMS).
Structure complex, multi-modal clinical and scientific datasets to enable advanced analytics, enterprise reporting, and downstream machine learning models.
Process Engineering & Manufacturing Integration
Ingest, harmonize, and model operational technology (OT) and manufacturing process datasets, including API manufacturing pipelines, batch processing data, MES, SCADA, and OSIsoft PI systems.
Unify disparate laboratory and facility data pipelines into centralized, highly available enterprise data platforms.
Enterprise Data Engineering & Compliance
Build robust ETL/ELT pipelines using modern cloud platforms (Databricks, Snowflake, AWS/Azure), PySpark, and SQL.
Ensure all data pipelines and platform integrations strictly adhere to enterprise governance, data residency, and GxP regulatory standards within a heavily monitored environment.
Technical Leadership & Domain Alignment
Partner directly with process engineers, chemical engineering leads, and research informatics directors to translate operational friction into robust technical specifications.
Establish engineering best practices, data modeling standards, and pipeline monitoring frameworks across the enterprise data stack.
Requirements
Experience & Mindset
Experience:
Senior-level proficiency (10–20+ years) in software development, data platform architecture, and complex ETL/ELT engineering.
Domain Adaptability:
Demonstrated ability to engineer data pipelines across non-standard, highly specialized domains (e.g., transition between process/chemical engineering data and clinical/scientific research informatics).
Location & Work Auth:
Must hold unrestricted US Work Authorization (no sponsorship available) and be able to work 3 days per week onsite in the Indianapolis, IN area.
Culture & Communication:
Exceptional problem-solving mindset, strong adaptability, and the ability to articulate complex technical architecture to cross-functional engineering teams.
Must-Have Technical Stack
Languages & Frameworks:
Advanced Python, PySpark, and expert-level SQL.
Data Platforms:
Hands-on expertise with Databricks, Snowflake, or AWS/Azure enterprise data ecosystems.
Orchestration & ETL:
Extensive experience with Airflow, dbt, Spark, and enterprise data orchestration engines.
Data Pipelines:
Proven track record building streaming and batch data architectures via REST APIs, message brokers, and database integrations.
Domain Competency (Scientific & Process Focus)
Deep exposure to either scientific/clinical informatics (CDISC/SDTM, LIMS, clinical trials, multi-omics)
OR
chemical/process engineering data (API manufacturing, batch data, SCADA, MES, OSIsoft PI).
Nice-to-Haves & Certifications
Academic background in Chemical Engineering, Bio-process Engineering, Computer Science, or a related STEM discipline.
Direct experience working inside regulated GxP environments in the Life Sciences or Specialty Chemicals sectors.
Certifications:
Databricks Certified Data Engineer Senior/Professional, Snowflake SnowPro Core/Advanced, or AWS Data Engineer Associate/Professional.
What This Role Is NOT
Not a pure Data Scientist or ML Researcher:
You will not be building or training machine learning models; you are designing and scaling the underlying data architecture, pipelines, and platform infrastructure.
Not a non-coding Architect:
This is a 100% hands-on engineering lead role requiring direct pipeline construction and technical execution.
Not a Fully Remote Position:
This role requires a steady hybrid commitment of 3 days onsite per week at the client site in Indianapolis.
Location: Remote-Friendly (Travel-Required) | San Francisco, CA | Seattle, WA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
As part of Anthropic’s Global Safety, Intelligence, and Security (GSIS) team, the Security Technology Deployment Engineer will own the validation, standardization, and deployment of physical security technology across Anthropic’s rapidly expanding global office portfolio. This role bridges the gap between technology selection and production-ready operation — ensuring that every security platform deployed is rigorously tested, properly integrated with enterprise infrastructure, fully documented, and built for scale.
You’ll define the installation standards, configuration baselines, and deployment processes that the broader team executes against — from access control migrations and intercom replacements to AI analytics onboarding and new application integrations. You’ll work across InfoSec, IT, Networking, and Identity Management to ensure every security application passes review, integrates with SSO, and is supported within Anthropic’s infrastructure before going live. Your work will directly determine whether Anthropic’s security technology stack scales reliably as the company grows from dozens of locations to a global enterprise footprint.
Responsibilities:
Validate and deploy new and replacement security technology platforms including access control systems, intercom solutions, video management, visitor management, and AI/analytics tools across all Anthropic locations
Build and maintain staging environments for pre-production testing and validation of all security applications, hardware, firmware, and system configurations
Define installation standards, configuration baselines, licensing structures, update procedures, and maintenance requirements for every deployed security platform
Deploy integrations between security applications, validating that platforms communicate and share data correctly before transitioning to production
Support colleagues’ security applications through InfoSec review processes, ensuring new tools meet Anthropic’s information security and compliance requirements
Coordinate SSO integration for newly deployed security applications with Identity Management and IT teams
Transition applications requiring custom integration or data pipeline development to the IT Engineering team with documented technical requirements for roadmap inclusion
Initiate onboarding of deployed hardware and systems into Anthropic’s health monitoring platform to ensure operational visibility from day one
Develop standardized deployment playbooks, checklists, configuration templates, and handoff documentation that enable repeatable installations across all current and future sites
Evaluate security platforms for scalability, identifying capacity constraints, single points of failure, and architectural limitations before they impact operations at scale
Coordinate with Networking, IT Infrastructure, and Facilities teams to ensure all infrastructure prerequisites (network, power, rack space, cloud resources) are met prior to deployment
Execute structured handoffs to Project Management (for site programming), Break-Fix Support (for maintenance), and Access Control Administration (for ongoing system management), ensuring each team has the standards and documentation to execute independently
You may be a good fit if you:
Have 5+ years of hands-on experience deploying, validating, and managing enterprise physical security technology across a large or rapidly growing organization
Have deployed security technology across 50 or more sites, or have demonstrated experience in a high-growth environment where deployment velocity and repeatability were essential
Have built standardized deployment processes, playbooks, and configuration templates that enabled others to execute installations independently and consistently
Have experience working across InfoSec, IT, Networking, and Identity Management teams to onboard and integrate security applications into enterprise environments
Have supported SSO integration, InfoSec reviews, and enterprise application onboarding workflows for security tools
Possess broad technology experience across access control, video management, intercoms, visitor management, AI/analytics, and alarm monitoring platforms
Are a strong technical communicator who can define standards clearly enough that PMs, integrators, and service teams execute against them without ambiguity
Have experience with IP networking, VLANs, PoE, and infrastructure requirements for security devices
Are comfortable with 25% travel for site deployments, commissioning, and validation
Strong candidates may have:
Previous experience at a hyper-growth technology company or managing security technology programs for high-profile corporate environments
Experience with Anthropic’s specific technology stack: Genetec Security Center, Axis cameras, Wavelynx, Commend Symphony Cloud,
Alcatraz.ai
,
Ambient.ai
, SureView, Envoy
Industry certifications: Genetec, Axis, CCNA, PSP, CPP, or PMP
Experience with OSDP, modern credential technologies, and encryption protocols for physical security systems
Familiarity with scripting or automation (Python, PowerShell) for configuration management and deployment automation
Experience with health monitoring and observability platforms
Knowledge of SOC 2 compliance, GDPR, and physical security compliance frameworks
Experience with change management, configuration control, and version-controlled infrastructure documentation
Deadline to apply: None. Applications will be received on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$180,000
—
$230,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
About Us
We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design. Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.
About the Role
Enterprise deals aren't won by a single email or a single seller. They're won by a coordinated push that reaches every stakeholder in the room, at the right moment, with the right message. As our Account-Based Marketing Manager, you'll own the programs that turn our highest-value Enterprise and Strategic accounts into pipeline. You'll work directly with Sales, Revenue Operations, and Partnerships to build 1:1 and 1:few plays that engage buying groups and move complex, multi-stakeholder deals forward. This is a role for someone who's comfortable building from limited precedent and translating account strategy into campaigns that actually change how a deal moves.
What you'll do
Own and execute ABM programs for a defined portfolio of Enterprise and Strategic accounts, from strategy through campaign delivery.
Design 1:1 and 1:few ABM plays that engage decision-makers and full buying groups, not just single contacts.
Partner with Sales on account plans, opportunity progression, and executive engagement, acting as the marketing counterpart to their account strategy.
Build personalized messaging and content experiences tailored to enterprise stakeholders, translating account priorities into a value narrative.
Run multi-channel campaigns across LinkedIn, email, paid media, content hubs, direct mail, and events, sequencing channels to match where each account is in the funnel.
Lead high-touch executive engagement initiatives, including curated dinners, events, and account-specific experiences that build senior-level relationships.
Drive account research to surface buying group members, whitespace, and engagement signals that inform where to focus next.
Track account engagement, campaign performance, and pipeline impact across the portfolio, and use those signals to reallocate effort toward what's working.
Test new ABM tactics and engagement approaches, treating each program as a hypothesis to validate rather than a template to repeat.
At Fundraise Up, AI is a default tool, not an experimental one. We expect every team member to actively use AI in their day-to-day work, identify where AI can change the shape of problems in their function, and grow their fluency as the tools evolve.
Skills and Qualifications
4-7 years of B2B marketing experience with strong exposure to enterprise demand generation, ABM, or strategic account marketing.
Demonstrated experience executing multi-channel ABM programs targeting complex buying groups.
Strong analytical skills, with the ability to evaluate account engagement and pipeline signals and adjust programs accordingly.
Experience partnering closely with Sales to support account strategies and opportunity progression.
Ability to independently plan and execute marketing initiatives aligned with broader strategic objectives.
Experience with Salesforce, HubSpot, LinkedIn, and ABM or intent tools.
Comfort operating in a fast-paced environment where priorities shift and plans need to adapt in real time.
Nice to Have
Experience running executive-level engagement programs (dinners, curated events, VIP experiences).
Background in SaaS or fintech, where enterprise sales cycles involve multiple senior stakeholders.
You'll Thrive Here If
You Treat a stalled enterprise deal as a puzzle to solve, not someone else's problem.
Can build a program from scratch when there's no playbook to follow.
Read pipeline and engagement data as a starting point for the next test, not a to file away.
Move comfortably between big-picture account strategy and the details of a single campaign asset.
Build real working relationships with sellers instead of treating Sales as a stakeholder to manage.
Hold a high bar for personalization. Generic ABM doesn't move enterprise buying groups.
Take ownership of outcomes, not just activity. Pipeline impact is the scoreboard.
Give and take direct feedback easily, and adjust fast when a play isn't landing.
Compensation
The compensation range for this role is $98,000 - $106,000. Final compensation will be determined based on relevant experience, skills, qualifications, alignment with the role’s requirements and location.
Perks & Benefits
Health, Dental, and Vision insurance covered at 100% for employees, 80% for employee plus dependents, and 70% for employees plus family.
FSA and HSA Spending Account.
20 days of vacation, 5 sick days, 11 company holidays plus an additional 1 floating holiday.
401(k) plan with company match.
100% Company-paid short-term disability, long-term disability, basic life insurance and AD&D.
Paid parental leave (12 weeks for primary caregivers / 6 weeks for secondary caregivers).
Generous home office stipend to support your remote workspace.
Annual professional development stipend to support your growth (e.g., workshops, courses, and seminars).
Charitable giving program and paid volunteer time off with registered non-profits.
Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company. We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, or any other characteristic protected by applicable law in the countries where we operate.
Location: Remote, DC
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
The federal government generates more data every day than most organizations manage in a decade, streaming continuously from satellites, unmanned systems, sensors, and warfighters across every domain and classification level. At the same time, AI is transforming how that data gets used, from massive training data lakes to real-time decision-making at the tactical edge. MinIO sits at the center of both problems. We are the data foundation that lets federal and defense customers store, move, and act on their data at any scale, in any environment, including the most austere and disconnected ones on the planet. This isn't incremental infrastructure work; it's the layer that decides whether the right data reaches the right decision-maker at the right moment.
The Sr Regional Sales Manager, Federal at MinIO will lead new business development for our Federal practice in an individual contributor capacity. MinIO Federal is a channel-first organization. The right candidate has a working network of FSI, ecosystem, and channel partner relationships to activate on day one.
What You Will Do:
Drive Pipeline Through Partners:
Actively develop and close new business across DoW, IC, and civilian agencies by activating and expanding relationships with existing and new federal channel partners and systems integrators.
Leverage Existing Relationships:
Bring and activate your own network of federal customer, partner, and FSI contacts to accelerate pipeline from day one. Established relationships with agencies, primes, or federal resellers are a core requirement of this role.
Own the Sales Cycle:
Manage the full sales cycle through close, maintaining a healthy, accurately forecasted pipeline.
Articulate MinIO's Value in a Federal Context:
Tailor MinIO's value proposition to federal buyers and their unique constraints, budget cycles, compliance requirements, and procurement vehicles, spanning both traditional data infrastructure and emerging AI/ML, inference, and agentic AI use cases, and equip partners to do the same.
Cross-Functional Collaboration:
Work closely with our Federal field architect, channel, and marketing resources to align technical, partner, and go-to-market strategy, and ensure a seamless customer and partner experience.
Accurate Forecasting:
Maintain transparent, accurate forecasts of pipeline and sales activity to support planning and the broader Federal growth model.
Your Skills and Experience:
Established Federal Relationships: Existing, active relationships with federal systems integrators, resellers, and agency contacts that can be brought to bear immediately.
Federal Sales Experience: 7+ years of experience in federal or public sector sales, with a demonstrated track record of sourcing and closing new business through partners and channel relationships.
Channel-Led Sales Motion: Deep familiarity with partner-led federal sales models, deal registration, teaming agreements, and working alongside resellers and SIs rather than solely direct-to-agency.
Domain Knowledge: Background in technology sales, ideally cloud-native infrastructure, storage, and/or AI/data platforms; understanding of federal buyer constraints (procurement vehicles, budget cycles, compliance).
Startup/Growth-Stage Experience: Comfortable operating in a lean, fast-moving environment without the infrastructure of a large, established sales org.
Challenger Approach: Skilled at identifying and challenging the status quo, demonstrating clear business value, and closing competitive deals.
Excellent Communication: Strong verbal and written communication skills, able to represent MinIO credibly to agency stakeholders, partner executives, and internal leadership alike.
Clearance: Active security clearance, or the ability to obtain one.
Educational Background: BA or BS in a related field or equivalent experience.
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Strava SF
Workplace: Hybrid
ABOUT STRAVA
Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today.
Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward.
ABOUT THIS ROLE
Strava is seeking an Engineering Manager for the Privacy and Login team — operating 60/40 as hands-on engineer and technical leader, with a consumer product focus. You'll own how athletes sign up, log in, and understand and manage their privacy on Strava, from account security to giving people clear visibility and control over their data across iOS, Android, and web. This is a platform engineering role, not a security or IAM specialist position. No prior identity or authentication experience is required. We're looking for strong product engineering fundamentals (fullstack skills prioritized) and the ability to learn quickly in a high-trust domain.
We follow a flexible hybrid model that translates to more than half of your time on-site in our San Francisco office - three days per week.
WHAT YOU'LL DO:
- Give athletes clear, intuitive ways to understand and manage their privacy settings, and make sure that information is easy to find and act on in the product
- Own the technical roadmap for account sign-up, login, password management, and account recovery
- Build reliable, predictable login experiences so athletes can get into their accounts quickly and securely, across a unified foundation spanning Strava Group's app portfolio
- Partner with Product, Security, Trust & Safety, and Legal to ensure compliance and platform integrity
- Drive consistency across iOS, Android, and web login, privacy, and account experiences
- Monitor and improve login success rates, recovery flows, and how well users engage with privacy controls
- Lead with strong technical judgment, balancing hands-on contribution with clear technical leadership
- Establish best practices, operational excellence, and a culture of inclusion and mentorship
WHAT YOU'LL BRING TO THE TEAM:
- 1-2 years of management/people leadership experience — we welcome early-career managers who are ready to grow into the role
- 5+ years experience of strong fullstack or product engineering background — comfort across backend systems and consumer-facing UI is welcome, with the ability to quickly ramp up on systems that keep user accounts secure and easy to access
- Comfort learning on the job how to build predictable, secure login experiences and clear, user-friendly privacy controls — no prior identity-specific experience required
- Ability to lead a team through ambiguous, high-stakes technical problems and drive consistency across platforms
- A product mindset: ability to balance user experience with robust data protection and abuse prevention
- A holistic view of platform engineering as a foundation for trust, safety, privacy, and growth
For information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub.
WHY JOIN US?
Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals.
Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact.
When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together.
Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together.
Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub
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
As a Customer Success Manager on Anthropic's Public Sector team, you will be the post-sales trusted advisor helping national security customers realize the value of Claude and turn their investment into mission impact. You'll combine your customer success expertise with technical fluency to drive adoption of Claude Code, the Claude API, and Claude for Government (C4G) on classified infrastructure delivered through a cleared cloud provider, while maintaining our high standards for safety, security, and discretion.
Working closely with our Sales, Applied AI, Product, Engineering, and Policy teams, you'll guide customers from deployment through enablement, model migration, renewal, and expansion. You'll develop genuine partnerships with customers' AI leadership, platform and compute teams, security and accreditation officials, and mission operators—and with the cleared cloud providers and system integrators that deliver alongside us. Your understanding of their mission, how they accredit and govern capabilities on classified fabrics, and how they evidence value to oversight will help them deliver decision advantage.
Drawing on both your national security expertise and technical knowledge, you'll serve as a strategic advisor throughout their journey with us—helping them navigate constraints that don't exist in commercial or federal civilian deployments: classified-fabric accreditation, fixed compute capacity, compartmentation, limited telemetry, and need-to-know discipline. Much of this work happens onsite, in the customer's spaces, on their systems.
Your role focuses on driving consumption and adoption of Claude across mission workloads, standing up enablement and change management suited to a cleared, mission-driven workforce, identifying and hardening the workloads that matter most to the mission, and demonstrating value in unclassified terms that can leave the building and support renewal and expansion.
The insights you gather will directly inform our research priorities, product roadmap, and national security strategy—making you a key voice in shaping how Anthropic builds and delivers AI systems for the most demanding missions.
Key responsibilities:
Partner with the account executive and Applied AI architect to deeply understand the customer's mission requirements and translate them into an account and success plan, ensuring alignment between mission objectives, the customer's investment, and technical implementation
Serve as the primary post-sales advisor to the customer throughout their Claude adoption journey, from deployment through enablement, model migration, renewal, and expansion. You will need to build trusted relationships across the customer's senior stakeholders—AI leadership, platform and compute teams, security and accreditation officials, contracting, and mission operators—and coordinate internally across multiple teams and with cleared cloud providers to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Government on classified infrastructure—managed configuration, capacity and throughput planning, and workload onboarding—with a working understanding of accreditation requirements (FedRAMP High, IL5/IL6, classified-fabric accreditation)
Create and deliver compelling enablement and executive content tailored to different audiences. You will need to spread the gamut from hands-on Claude Code enablement for engineering teams (Train the Trainer, managed configuration as the "paved road," Center of Excellence development) up to mission-value conversations with senior agency leadership, in unclassified language that can leave the building
Help the customer develop evaluation frameworks and measure adoption and value without direct telemetry—provider capacity reports, customer-run dashboards, workload registries, and agreed leading indicators—and guide model migration and release readiness: eval gates built from their workloads, staged cutovers off end-of-support models, and realistic expectations about what lands on their fabric and when
Drive consumption and adoption: separate under-pacing from burst saturation of a fixed compute pool, smooth and onboard workloads before asking for capacity, discover new mission workloads across compartmented organizations, and document value realized in mission-outcome terms (decisions accelerated, coverage, timeliness, findings produced)
Own Executive Business Reviews that function as discovery and alignment—leaving executives with sponsor commitments, mutual next steps, and a mission-outcome narrative that supports the renewal decision—and serve as the primary conduit between the customer, cleared cloud providers, and Anthropic
Identify common adoption and integration patterns and hero workflows that demonstrate mission transformation, and contribute insights back to our Product, Engineering, Research, and Policy teams—while maintaining strict separation of classified and unclassified channels and escalating correctly (e.g., 'Claude cut a high-volume analytic triage queue from days to hours')
Work onsite frequently at customer facilities for enablement, workshops, and relationship building, on the customer’s systems and within their security and need-to-know rules
Maintain strong knowledge of the latest developments in LLM capabilities, agentic and Claude Code implementation patterns, and national security AI policy
You may be a good fit if you have:
Due to U.S. Government contract requirements, this position requires U.S. citizenship and an
active TS/SCI security clearance with a current full-scope polygraph
(a TS/SCI with CI polygraph may be considered where crossover is supportable)
Must have prior experience working with US national security
(defense and/or intelligence)
agencies
—ideally at the level of AI leadership, platform, and compute teams rather than a single program office—and a working knowledge of how national security agencies accredit, budget, govern compute, and measure mission (including the difference between FedRAMP High, IL5/IL6, and classified-fabric accreditation, and the role of cleared cloud providers and system integrators)
5+ years of experience in customer-facing roles such as Customer Success Manager, Technical Account Manager, Solutions Architect, or Consultant, with experience navigating complex stakeholder environments; able to work onsite at customer facilities in the National Capital Region 3-4 days per week
Experience driving success with consumption-based products (tokens, throughput, capacity) as well as seat-based products, including measuring adoption and value when you cannot see usage directly
Technical fluency with AI/ML concepts, API integration patterns, and agentic tooling such as Claude Code; familiarity with common LLM frameworks, tools, and evaluation approaches, and hands-on experience building something with an LLM API or coding agent, is a strong plus
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders, from engineering and platform teams to security and accreditation officials to senior national security leadership
Judgment and discretion: never over-promises on dates, capabilities, or documentation; practices need-to-know as a reflex; keeps composure under political and competitive pressure; strategic mindset to identify mission transformation opportunities and translate them into actionable expansion plans
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities—advocating for customer needs across internal (Applied AI, Policy, Research, Security) and external (cleared cloud provider, system integrator, program office) stakeholders
Passion for thinking creatively about how to use AI in a way that is safe and beneficial for the national security mission, and ultimately furthers the goal of advancing safe AI systems
A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality—you're a true team player
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$350,000 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 - US
About the Job:
The Enterprise Acquisition Account Executive will drive LaunchDarkly's growth by acquiring new enterprise customers through 100 percent net new logo generation. Owning a defined territory, you will develop and execute strategic account plans, generate new opportunities, and deliver tailored solutions that demonstrate LaunchDarkly's value. This role is ideal for someone who thrives on breaking into greenfield accounts and closing new business.
Responsibilities:
Territory Management:
Develop and maintain comprehensive territory and account plans.
Pipeline Generation:
Secure consistent new opportunities through targeted outreach and account research.
Revenue Growth:
Achieve quarterly revenue and new logo acquisition targets.
Customer Engagement:
Build strong relationships with champions and decision-makers, developing compelling business cases.
Collaboration:
Work with SDRs, SEs, and other teams to ensure seamless execution and customer success.
Strategic Thinking & Execution:
Design and execute long-term strategies that drive business growth within a defined territory.
Identify and capitalize on market opportunities and align them with company objectives.
Adapt strategies as market dynamics evolve, ensuring continuous growth and a competitive edge.
Enterprise Sales Expertise:
Proven track record in enterprise sales, including lead generation, opportunity identification, negotiation, and closing high-value deals.
Deep understanding of the enterprise sales cycle and the ability to manage complex, multi-stage deals.
Skilled in selling to C-suite executives and senior decision-makers, developing customized solutions that address business needs.
Customer-Centric Problem Solving:
Assess customer pain points and design tailored solutions that create measurable value.
Build long-term relationships with key customers, acting as a trusted advisor to solve their business challenges.
Overcome obstacles and find innovative solutions to meet customer needs.
Independent Decision Making:
Work autonomously with minimal day-to-day supervision, making sound decisions based on analysis of data and situational factors.
Take ownership of the territory, managing customer acquisition with confidence and minimal instruction.
Prioritize tasks and make decisions quickly, ensuring alignment with broader business goals.
Analytical Skills & Data-Driven Insights:
Analyze market data, sales metrics, and customer insights to inform strategies and decision-making.
Evaluate diverse factors to identify trends, resolve complex issues, and optimize sales efforts.
Use CRM and sales tools to track and analyze performance.
Negotiation & Deal Structuring:
Negotiate large-scale, complex contracts, balancing customer needs with company goals.
Create mutually beneficial agreements that result in long-term business relationships.
Handle objections, overcome resistance, and close deals in a competitive market.
Communication & Influence:
Exhibit strong verbal and written communication skills, with the ability to influence and persuade key stakeholders.
Present solutions and negotiate with C-suite executives, ensuring clear understanding and alignment.
Communicate complex ideas concisely and compellingly to diverse audiences.
Collaboration & Team Leadership:
Collaborate effectively with cross-functional teams, including marketing, product, and customer success, to align efforts and drive growth.
Demonstrate leadership in managing internal resources, ensuring alignment with company goals.
Motivate and influence team members across departments to achieve common objectives.
Results-Driven Focus:
Maintain a strong focus on achieving measurable sales outcomes and consistently meeting or exceeding targets.
Demonstrate motivation by performance metrics and commitment to continuous improvement.
Take ownership for results, holding oneself accountable for achieving objectives.
Qualifications:
8+ years of sales experience, with a focus on net-new logo acquisition.
Proven success in selling technical solutions to CIO/CTO-level personas in competitive or unbudgeted environments.
Strong track record of exceeding quotas and managing complex sales cycles.
Understanding of IT infrastructure and organizational structures.
Expertise in account planning, stakeholder mapping, and value articulation.
Proficiency in sales methodologies like discovery frameworks and cost justifications.
Pay:
Target pay ranges based on Geographic Zones* for Level 4:
Zone 1:
San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle
-
$269,400
- $370,480
**
Zone 2:
Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $242,500
- $333,410
**
Zone 3:
All other US locations - $229,000
- $314,930*
*
LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location.
*Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas.
**Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary.
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at
hr@launchdarkly.com
.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from
@LaunchDarkly
.com email addresses or via LinkedIn from "Verified Recruiter" accounts.
Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
Location: New York, NY, United States
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
As Director of Engineering for iCasino Experiences at Fanatics Betting and Gaming, you lead the engineering organization that builds the technology customers interact with in one of the fastest-growing online casinos in the U.S. Your teams design, build, and operate the software behind the casino experience across multiple customer-facing mobile applications, backed end-to-end by the content management systems and personalization that power every surface.
You'll lead an organization of roughly 20 full-time engineers spanning the U.S. and the U.K. This organization has built a product that industry analysts rank among the very best in the market for user experience, with a reliability record to match — and your mandate is to keep raising that bar while closing the competitive gap to the largest operators in the space.
This is a role that blends strategic and operational leadership. You'll set the delivery direction and quality standards your engineering managers run their teams against, shape the technical roadmap in close partnership with Product, Design, and TPM, and represent iCasino in cross-company programs — architectural, delivery, and people-related. You are customer-obsessed, and you know how to translate that obsession into an organization that ships fast and constantly evolves.
Responsibilities
Lead a high-performing engineering organization across the U.S. and the U.K.
Own delivery across the domain — set the operating rhythm, hold teams to commitments, proactively surface and resolve cross-team delivery risks, and keep capacity allocation transparent to Product and business stakeholders
Own the engineering quality and reliability bar for all customer-facing casino applications, including production readiness standards, observability, test automation strategy, and incident response across the domain
Partner with Product, Design, and TPM leadership to shape the roadmap, drive iterative delivery with intentionally scoped V1s, and translate company-level experience priorities into the domain's execution plan
Hire, develop, and coach engineering managers and senior individual contributors; design the org structure and talent strategy needed to meet business goals
Represent iCasino Experiences in cross-organization programs spanning architecture, delivery, and people — driving alignment while keeping Casino's needs front and center
Champion improvements to engineering practices, planning processes, and operational maturity that scale beyond your own domain
Step into ambiguous, cross-team problems that lack a clear owner, structure the work, and lead it to resolution
Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities
Experience and Skills
10+ years of software engineering experience
, including
4+ years leading engineering teams through managers
, ideally across multiple geographies and time zones
Proven ownership of consumer-facing product experiences at scale
— you have led organizations building mobile products where speed, polish, and reliability are the differentiators
Strong delivery leadership
, with a track record of running predictable execution across multiple teams, managing risk proactively, and holding a high quality bar without sacrificing velocity
Demonstrated ability to build and scale engineering organizations
— hiring and developing engineering teams, designing team structures aligned to business needs, and making hard performance calls with clarity and fairness
Deep operational rigor
— experience owning production reliability for customer-facing systems, including observability, on-call structures, incident management, and post-incident improvement
Strong technical judgment
across modern client and backend architectures — able to guide architectural decisions, evaluate platform bets, and resolve cross-team technical risks without being in the code every day
Comfort leading distributed teams across time zones
Preferred Qualifications
Experience in
online gaming or other highly regulated industries
, including familiarity with certification and compliance processes
Experience leading teams building
high-end mobile applications
, and with content management or personalization systems
Track record of
driving cross-organization initiatives
— planning process redesigns, platform migrations, or automation programs adopted beyond your own teams
Background in startups or high-growth environments where products went from zero to market-leading
Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply!
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-KR1
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
$193,800
—
$318,750 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: San Francisco; New York
Workplace: Hybrid
Patreon is a media and community platform where over 300,000 creators give their biggest fans access to exclusive work and experiences. We offer creators a variety of ways to engage with their fans and build a lasting business including: paid memberships, free memberships, community chats, live video, and selling to fans directly with one-time purchases.
Ultimately our goal is simple: fund the creative class. And we're leaders in that space, with:
- $10 billion+ generated by creators since Patreon's inception
- 100 million+ free memberships for fans who may not be ready to pay just yet, and
- 25 million+ paid memberships on Patreon today.
Patreon is looking for an Engineering Leader to lead our Payments team. This is one of the most consequential parts of Patreon's business: the systems that let creators earn a living and get paid reliably, and that let fans support them with a seamless, trustworthy checkout experience.
About the Team
The Payments team owns the 1) Payments Infrastructure which includes bill processing, compliance, vendor integrations, pay-in and payout methods, 2) Payments Experience which includes fan-facing checkout, and creator-facing payout experience, 3) Support & Internal tooling used across Patreon to run the business and support creators and fans. The team consists of 10-12 engineers that partner closely with dedicated Product, Design, and Product Marketing leads.
About the Role
As an Engineering Leader of the Payments teams, you will be partnering with product, operations, design, and data to craft a vision and roadmap to deliver a high quality payments product for our creators and their fans. You will be overseeing a team of software engineers to realize that vision.
- Set technical direction and roadmap priorities in tight partnership with Product, Design, and PMM leads
- Drive execution on major infrastructure initiatives (legacy billing deprecation, payments reliability, local payment methods expansion).
- Set the org structure and operating model for Payments — determine team boundaries, staffing plan, and where to invest across infrastructure, experience, and support tooling
- Champion a culture of operational excellence; Improve reliability and efficiency of payments infrastructure, and hold the line on guardrail metrics like Brand Trust and Total Payment Volume.
- Collaborate with other teams so payments experiences feel cohesive across other surfaces product areas
- Make the call on build-vs-buy and vendor partnership decisions for payment processing, compliance, and payout infrastructure
- Represent Payments in cross-functional planning with Finance, Risk, Support, and GTM stakeholders
About You
- 12+ years of software engineering experience and 7+ years of experience managing engineering managers and teams
- Direct experience with payments, billing, or financial infrastructure at scale — you understand PCI compliance, payment processing/orchestration, chargebacks, and reconciliation, or adjacent regulated-fintech domains
- Comfort owning both the "keep the lights on" reliability work and new product bets in the same portfolio
- Experience navigating vendor relationships and build-vs-buy decisions for critical infrastructure
- Proven record of shipping high-impact, end-to-end product work in complex domains (ideally payments, fintech, or other mission-critical systems) at the org level
- Operates comfortably at the executive level — regularly partners with and influences VP/C-level stakeholders across Finance, Risk, Support, and GTM
- Strong cross-functional partnership skills — you'll work daily with Product, Design, Finance, and Support leads
- Deep commitment to building high craft user experiences for both creators and fans
- Experience working with experimentation driven approaches to optimize product surfaces and use of data to inform roadmap decisions
- Skilled at building healthy, trusting relationships across Product, Design, business partners, and other engineering teams.
- Nice to Have
- Experience with international payments expansion (local payment methods, currency conversion, cross-border compliance)
- Background in marketplace or creator-economy businesses
About Patreon
Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts:
- Put Creators First | They’re the reason we’re here. When creators win, we win.
- Build with Craft | We sign our name to every deliverable, just like the creators we serve.
- Make it Happen | We don’t quit. We learn and deliver.
- Win Together | We grow as individuals. We win as a team.
We hire talented and passionate people from different backgrounds because workplace diversity and inclusion is critical to our ability to serve creators worldwide. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you.
Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. If you need a reasonable accommodation during the interview process, please let us know via email at accommodations@patreon.
Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, flexible time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.
Patreon operates under a hybrid work model, where employees based in office locations are expected to come into the office two days per week, excluding sick time and paid leave. The goal of this policy is to be intentional about the in-person time we spend together to strengthen the feeling of community at Patreon. Candidates hired into remote-eligible roles are not expected to meet the same requirements.
At Patreon, we believe in fair and transparent pay. In compliance with New York and California pay transparency laws, we are sharing the expected salary range for this role.
The posted salary range is dependent on the location and the level. This range may encompass multiple levels within the role’s job family. The final offer will be based on candidate’s experience, skills, competencies, and geographic location, aligning with the appropriate job level within Patreon’s leveling framework. For remote employees located outside CA and NY, salary may vary based on location and local market conditions.
Patreon reserves the right to modify or update compensation and benefits at any time.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Platform (API) is how developers and enterprises build with Claude, directly and through our cloud partners. It runs on a consumption model, and the economics move quickly as new models and capabilities launch, serving costs change, and customer usage scales.
We're looking for a Finance & Strategy Lead to own planning and forecasting for the Claude Platform, run the business reviews that track its performance, and recommend how the products and business should evolve. You'll sit on the Product Finance & Strategy team and partner with leaders from product, engineering, go-to-market, and other finance teams to steer the growth of the business. This is a finance role close to the product: your forecasts and analyses will shape where the business invests and how it grows.
Key responsibilities
Lead financial planning and analysis for the Claude Platform (API) business across self-serve, enterprise, and cloud partner channels. Set targets for the business and drive interlock with go-to-market partners on targets
Build and run the rhythm of business for the Claude Platform with product and cross-functional leaders, including monthly executive reviews with clear analyses and actionable insights to grow the business
Develop and maintain financial models and scenario analyses that show how launches, pricing changes, and commitment structures affect the forecast
Build business cases for new platform features and products, working with product, engineering, and go-to-market partners
Serve as a trusted advisor to product and finance leaders, analyzing usage, revenue, and cost data to flag what matters and answer complex questions
Automate recurring reporting and lead analyses on whether pricing and new business models are working and what to change
Partner with operations, data science, deal desk, and accounting to ensure new products are billed, reported, and forecasted accurately
Minimum qualifications
Experience leading annual planning and forecasting for a business or product line, from assumptions through final targets
Experience building driver-based forecasts for consumption-based or usage-based businesses, including reconciling top-down targets with bottom-up views
Experience running recurring business reviews with executives, including explaining variances to plan and recommending actions
Strong financial modeling skills in spreadsheets, and comfort pulling and analyzing your own data in SQL
Experience shaping pricing, business model, or investment decisions with analysis
Ability to partner with product and cross-functional teams and explain financial tradeoffs clearly, in writing and in conversation
Sound judgment with incomplete data, and comfort making a call and revisiting conclusions as you learn more
Interest in AI and a commitment to Anthropic's mission of building safe, beneficial AI systems
Preferred qualifications
8+ years of experience in strategic finance, product finance, FP&A, investment banking, consulting, or a closely related analytical field
Experience with infrastructure, cloud, or developer platform businesses, and a basic understanding of how compute costs and capacity drive unit economics
Exposure to pricing APIs, developer tools, or cloud services
Familiarity with how large language models are served, including token-based pricing and inference cost drivers
Background in AI, ML, or related technologies
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$240,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
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