Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
AI has the power to dramatically accelerate the pace of scientific discovery and the development of healthcare interventions. Alongside the models and tools we build for scientists, Anthropic’s life science research teams now run their own wet lab experiments. We’re hiring a life sciences patent counsel to work side-by-side with our researchers as they work to advance biomedical progress.
You will manage patent strategy and filings for our life sciences research, from the first conversation with a scientist through global prosecution. You will also be our in-house expert on the patent questions, many of them new, that arise when scientists use AI as a research tool. You will partner closely with our patents lead (direct manager), the Head of IP, Research Legal, our Life Sciences Counsel, and outside counsel to design and implement a patent program that supports our researchers and partners and is aligned with the company’s mission.
Responsibilities
Manage patent strategy and filings for Anthropic’s life sciences research in the U.S. and internationally, including invention harvesting, filing decisions, drafting oversight, prosecution, and management of outside counsel
Serve as the trusted patent advisor to our life science research teams, and design and implement scalable guidance and processes to support our fast-growing life science efforts
Make inventorship determinations for AI-assisted research, and advise on inventor declarations and the duty of candor
Develop claim and filing strategies across biological and chemical inventions, platform technologies, and computational methods, accounting for written description, enablement, eligibility, and obviousness
Partner with Research Legal and Communications on the timing of publications, preprints, presentations, and open-source releases
Advise on the patent aspects of agreements with life science and biopharma counterparties, including ownership of inventions and improvements, and support patent diligence and freedom-to-operate analyses for our research
Anticipate emerging legal developments affecting AI technologies in the life science and biopharma space and provide strategic guidance to leadership
Minimum qualifications
Hold a law degree (JD, LLB, or equivalent) and meet the local licensing requirements to work as in-house counsel where you'll be based
A degree or equivalent training in a life sciences or chemistry field (for example, molecular biology, biochemistry, genetics, bioengineering, or organic chemistry)
Substantial hands-on experience drafting and prosecuting U.S. life sciences patent applications, and directing foreign prosecution through local counsel
Lead responsibility for a patent portfolio, including managing budget and outside or foreign counsel
Experience making inventorship determinations and resolving ownership questions in multi-party research arrangements (for example, with universities and other partners)
Excellent communication skills, with the ability to translate legal risk into practical guidance for scientists, researchers, and business partners
A low-ego, high-empathy orientation and a “doer” attitude: willing to roll up your sleeves and pitch in where needed
Intense curiosity about AI and science, and a commitment to responsible AI development
Preferred qualifications
10+ years of patent experience (including time as a patent agent, technical specialist, or examiner) at a law firm, a biotech or pharmaceutical company, or both, with the ability to operate independently and hit the ground running
Advanced degree in a life sciences or chemistry field
Experience with AI/ML companies, or with inventions at the boundary of biology and machine learning
Working knowledge of how patents interact with regulatory exclusivity, trade secrets, and open science
Familiarity with biosecurity, dual-use research, or export control considerations in the life sciences
Experience leveraging AI to optimize their work, with a desire to work in a fast-paced, innovative environment
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:
$335,000
—
$385,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We’re looking for a Solutions Marketing Manager to bring Claude to market across emerging industries and newer customer segments and personas, where enterprise AI demand is moving fastest. You’ll drive the strategic positioning and go-to-market approach for Claude for organizations ranging from small businesses to ecommerce to retailers, manufacturers, and energy companies, and more. You’ll develop messaging and positioning for nuanced sub-sectors that we have yet to build for and that need their own story, and also develop narratives for the professionals who do the work inside them.
Working at the intersection of sales, product, and marketing, you'll develop segment-specific solutions that showcase Claude's transformative potential for industry-specific applications across our product portfolio. You bring deep customer empathy, technical acumen, and the ability to translate complex AI capabilities into clear, value-driven solutions that resonate with decision-makers across organizations.
This role is built for a versatile product marketer who can go deep and pivot quickly from one industry to the next for a major launch, program, or industry moment. If you’re energized by range, learn new markets fast, and want to shape how entire industries adopt AI, this role is for you.
Key responsibilities
Develop and execute solutions marketing strategy across a number of different priority industries and customer segments
Craft differentiated positioning and messaging for industries and their sub-sectors across solutions pages, campaign materials, and content
Lead go-to-market for industry product and solution launches, including sector-specific product offerings and relevant MCP integrations and skills
Partner with field marketing and sales leaders to build industry points of view, use cases, and programs around major launches and flagship industry events
Build persona-based solutions that speak to specific types of users across industries, such as finance, legal, customer support, and operations teams
Adapt industry and persona narratives for different customer segments, including Enterprise, Commercial, SMB, and Startups
Partner with the alliances team on joint go-to-market with industry partners, including shared positioning, launch coordination, and integrated campaign moments
Work with communications, social, and content teams on executive thought leadership, customer stories, and speaking opportunities relevant to each industry
Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for priority industry accounts
Report on which channels and campaigns are driving results and identify opportunities for iteration
Minimum qualifications
Direct experience marketing software products across multiple industries or customer segments in tandem, and know how to find what’s distinct in each and what can scale across them
Familiar with developing solutions that span both technical and business buyers, working closely with enterprise architecture teams or transformation offices
Track record of building solutions that significantly expand deal sizes and accelerate sales cycles
Quick learner who can absorb context on new industries, buyer dynamics, and regulatory considerations rapidly, and speak credibly with the customers and partners in them
Strategic and tactical operator, comfortable setting an industry strategy with senior leaders and rolling up your sleeves to ship
Strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for technical and business audiences
Thrive in a 0-to-1 environment, can shift priorities quickly, and can build processes where none exist
Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams
Passionate about AI’s potential to transform how industries work while maintaining focus on responsible, safe deployment
Preferred qualifications
8+ years of B2B product marketing or solutions marketing experience working inside of software companies
Demonstrated success in creating vertical-specific solutions for operationally intensive or regulated industries
Possess certifications or deep knowledge in cloud platforms, enterprise architecture - experience with usage-based or consumption pricing models strongly preferred
Experience marketing AI/ML products or emerging technology to enterprise buyers
Track record of building marketing programs from scratch at a growth-stage company
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation.
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$320,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: United States
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
THE ROLE
We're looking for a Director of Product Design to lead the team behind existing and new products in the Docker portfolio, spanning our GUIs and the CLI. You'll manage the designers and raise the quality of what they ship, and you'll stay close enough to the work to build and critique it yourself, from the first prototype to the details of spacing, states, and copy.
You'll work alongside our principal designers, our Director of UX Research, design engineers, engineering leaders, and product leaders to turn technically complex systems into experiences that feel clear to the person using them.
You will report to the SVP of Design. This role is remote, with working hours that overlap US and Europe time zones.
_______________________________________________________________________
WHAT YOU WILL DO
- Lead and grow the product design team.
- Set the craft bar expected at each level and hold it through critique and your own work.
- Partner with engineering and product from the start of a project, so design and engineering ship together.
- Give designers ownership of important problems, with the context and trust to make good calls.
- Shape how the team works with AI tools: human judgment leads, and the tools speed up the work.
- Work with design engineering and the design system team so the shared system helps teams move faster without limiting new ideas.
_______________________________________________________________________
ABOUT YOU
You lead people:
- You have led a product design team of comparable size through change, and you have grown designers from mid-level through senior and staff.
- You have partnered closely with design engineers and engineering leaders, and you can engage with the technical decisions that shape the experience.
- You state a clear point of view to engineering and product leaders and stay open to challenge and better ideas.
You build:
- You still make things. You can prototype, critique a flow at the level of spacing, states, motion, and copy, and show us work from the last year. We will ask to see it.
- You use AI tools in your daily work and can show how you use them, including when you step in because the output isn't good enough.
- You have designed technically complex products and can turn underlying systems into experiences that feel clear and intuitive.
BONUS IF YOU
- Have led design for AI-powered or agent products, including experiences beyond a graphical interface.
- Have designed for both developer-led adoption and complex enterprise customers.
- Can prototype in front-end code, such as React or TypeScript.
Visa sponsorship: Not available for this role.
_______________________________________________________________________
COMPENSATION & EQUITY
All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location.
United States: $206,500 – $295,000 base
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
We are looking for a Strategy & Planning Lead to join our Revenue Operations team. In this role, you'll be a key partner to the Director of Sales Planning and Strategy, going deep on the analytical foundations that power how Vercel plans, staffs, and quotas its go-to-market organization. You'll own the models that translate revenue targets into headcount, ratios, and quota — and as Vercel completes its transition to a consumption-based revenue model, you'll help design how we set and ramp quotas in a usage-based world. This is a senior individual contributor role for someone who wants to build the analytical backbone of a fast-growing GTM org.
What you will do:
Build and maintain Vercel's GTM capacity model — connecting headcount plans to attainment probability and revenue target coverage across Sales, SAs, BDRs, and other supporting roles
Develop and operationalize the concept of a "minimum deployable unit" — the unit of supporting roles needed per rep/segment — and use it to inform hiring sequencing and investment scenarios
Own ramp curve, attrition, and productivity assumptions by segment, and use them to model longer-term headcount and investment scenarios for leadership review
Partner with the Director on quota-setting methodology, with particular focus on consumption-based quota design — how usage-based revenue signal translates into fair, attainable quota and ramp assumptions
Support the "leading indicators back from quota" analysis — translating quota by segment into pipeline coverage requirements and activity benchmarks
Build and maintain quarterly planning deliverables — quota-setting proposals, coverage model updates, and headcount recommendations
Track plan vs. actual on headcount, capacity, and quota attainment throughout the year; flag divergence early and model the revenue impact
Partner with Finance, Recruiting, and Data & Analytics to validate assumptions and ensure planning models are grounded in real data
About you:
6+ years of experience in revenue/sales operations, strategic finance, or a similar analytical GTM function at a high-growth SaaS company
Strong track record building headcount, capacity, or ratio-based staffing models tied to revenue targets
Experience with quota design and ramp modeling — ideally including consumption- or usage-based quota structures
Excellent quantitative and modeling skills
Comfortable operating with ambiguity — able to build a defensible model from incomplete data and clearly explain the assumptions behind it
Strong written and verbal communication skills — able to translate complex modeling into clear recommendations for senior stakeholders
A builder's mindset — you'd rather build the framework than run point on day-to-day execution
Bonus if you:
Have direct experience with consumption-based or usage-based revenue models, especially quota and compensation design in that context
Have worked in developer tools, infrastructure, or cloud platform companies
Have a point of view on how automation or better tooling can improve planning and modeling workflows
Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $175,000 - $205,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Hybrid - San Francisco, New York City
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role:
At Vercel, the Revenue Operations team plays a critical strategic role in our growth. We empower our GTM teams with the systems, strategy, and insights they need to be successful. By aligning people, processes, and technology across Marketing, Sales, and Field Engineering, we optimize the entire customer journey and build a scalable revenue engine that drives Vercel forward.
We're seeking a Sales Operations Lead to function as the operating partner to our Majors and Verticals sales organization in the US. You'll align directly to our sales leaders and their account executives, owning the strategy, programs, and operating cadences that make the segment successful— from territory design and sales plays to forecasting, quarterly business reviews, and pipeline inspection. You'll partner closely with Sales Leadership, Sales Development, Finance, and GTM Systems to sharpen our segment and vertical strategy, optimize the seller experience, and drive measurable revenue growth across our Majors motions.
This is a high-impact IC role for someone who thrives at the intersection of strategy and execution. Much of the infrastructure is already in place— a homegrown forecasting platform, weekly pipeline plan reviews, strong data foundation— so your job is to run the business on top of it, close the gaps, and define how Vercel scales into new verticals and wins in large enterprise. This is a hybrid role based in San Francisco or New York City, with three days a week in the office.
What you will do:
Serve as the strategic and operational partner to Majors Sales Leadership— owning the segment's operating rhythm and using pipeline, win/loss, deal velocity, and retention analysis to advise on where and how to grow the business
Run core operating cadences, including weekly pipeline plan reviews, forecast calls, and monthly and quarterly business reviews— defining the metrics the team manages to, driving forecast rigor and pipeline health in our forecasting platform and Salesforce, surfacing renewal risk and upside early, and holding the team accountable on follow-through
Own territory and account planning for the segment: build the thesis behind each book (vertical, regional, or play-aligned), run carves and account transitions, manage rules of engagement between teams, and partner with Finance and Sales Leadership on capacity modeling, target setting, and annual planning
Design and operationalize sales plays and growth programs: sizing the addressable market, defining the motion, equipping the field with insights, and measuring what works
Partner with Sales Development on account prioritization, outbound programs, and crediting processes that accelerate Majors pipeline
Collaborate with GTM Systems, Engineering and Data to ship scalable tooling, automation, and AI-driven workflows (e.g. account prioritization agents, automated carves, deal and call insights) that remove manual work from sellers and leaders
Lead enablement and change management for new processes, operating changes, and planning rollouts affecting the Majors teams— and own the operational onboarding of new reps and leaders, from book assignment and tooling to how we run the business
About you:
8+ years in Sales Strategy & Operations, Revenue Operations, or GTM Strategy at a high-growth technology company, with experience directly supporting enterprise or majors sales teams
Track record as a high-impact IC— either broad, hands-on ownership at a scaling startup or an explicit enterprise or majors focus at a larger company
Proven ability to run operating cadences for senior sales leaders and turn them into decisions: you know what a good QBR, forecast call, and pipeline review look like and how to instrument them
Experience with territory design, account planning, capacity modeling, and target setting in partnership with Finance and Sales Leadership
Salesforce expertise (reporting, dashboards) and strong analytical skills in Excel/Google Sheets and BI platforms, with SQL preferred; able to turn complex data into clear recommendations for executive and front-line audiences
Ownership mindset— accountable, resourceful, able to turn ambiguity into action, and effective at building alignment with senior stakeholders across Sales, Finance, and Systems
Bonus if you:
Have worked in a consumption or usage-based business, or at a developer tools, infrastructure, or cloud platform company with both PLG and enterprise sales motions
Have built or run vertical or industry-specific sales plays at an enterprise software company
Have a point of view on how AI and automation can transform sales operations— and have shipped something that demonstrates it
Benefits:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $175,000-$210,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Montreal, Canada
📍
Location:
Montreal, Quebec, Canada
📄
Employment Type:
TBD
🏢
Work Arrangement:
Remote opportunities for U.S. and Canadian citizens; relocation assistance and bonus available for qualified UK and European candidates
🚀
Start Date:
TBD
💰
Compensation:
TBD — based on skills and experience
Remote & Relocation Opportunities
U.S. and Canadian Citizens:
Remote work arrangement available.
UK and European Candidates:
Relocation assistance and a relocation bonus are available for qualified candidates relocating to Canada.
Candidates should be comfortable collaborating with multidisciplinary spacecraft engineering teams.
Important Screening Requirements
5+ years of experience
verifying aerospace subsystems, embedded robotics, or satellite platform architectures.
Strong technical knowledge in one or more of the following areas:
Power electronics
Orbital mechanics
Thermal management
Control systems
Experience developing automated test scripts using
Python or MATLAB
.
Experience controlling power supplies, electronic loads, and simulated sensor inputs through automated testing.
Familiarity with space-industry data protocols and avionics testing architectures.
Understanding of satellite bus subsystems and their interfaces.
About the Role
We are seeking a
Platform Systems Verification and Validation (V&V) Engineer
to verify and validate satellite bus systems, ensuring that core infrastructure subsystems operate correctly and are ready to support spacecraft payloads.
This role focuses on the functional verification of essential satellite platform systems, including electrical power, thermal control, propulsion, and attitude control. You will test subsystem performance, validate interfaces, and ensure systems respond correctly to onboard flight software.
The successful candidate will bring hands-on experience in system verification, automated testing, and satellite platform technologies, helping ensure reliable satellite bus performance in support of mission operations.
What We’re Looking For
We’re looking for a hands-on
systems verification and validation engineer
with experience testing complex aerospace systems, developing automated test scripts, and troubleshooting subsystem interfaces.
The ideal candidate understands satellite platform architectures and can verify subsystem functionality, simulate operating conditions, validate communications between systems, and identify issues before spacecraft deployment.
Strong candidates will combine technical knowledge of satellite subsystems with practical testing and automation skills, analytical problem-solving, and the ability to work across multidisciplinary engineering teams.
Key Responsibilities
Satellite Bus Subsystem Verification
Test and validate critical satellite platform subsystems, including:
Attitude Determination and Control Systems (ADCS)
Electrical Power Subsystems (EPS)
Thermal Control Systems (TCS)
Propulsion systems
Verify that platform subsystems function according to system requirements.
Evaluate subsystem performance and identify issues that could affect spacecraft operations.
Support verification activities to ensure satellite bus readiness for payload integration.
Hardware-in-the-Loop (HIL) Testing
Use
Hardware-in-the-Loop (HIL) testbeds
to simulate orbital dynamics and sensor inputs.
Simulate inputs from spacecraft sensors, including:
Star trackers
GPS
Sun sensors
Verify ADCS functionality and pointing accuracy under simulated operating conditions.
Analyze test results and troubleshoot unexpected subsystem behavior.
Power & Harness Validation
Perform spacecraft power budget verification.
Conduct battery charge and discharge cycle testing.
Support
Solar Array Simulator (SAS) integration
.
Validate electrical power subsystem behavior under relevant operating conditions.
Identify power-related issues and support troubleshooting during verification activities.
Flight Software Integration & Testing
Verify the interaction between satellite platform hardware and onboard flight software.
Test command routing and telemetry packet generation.
Validate
Fault Detection, Isolation, and Recovery (FDIR)
loops.
Confirm that platform subsystems respond correctly to software commands and simulated fault conditions.
Troubleshoot integration issues involving hardware, software, and subsystem behavior.
Subsystem Interface Verification
Verify physical, data, and electrical interfaces between satellite platform subsystems.
Validate communication and data exchange using protocols such as:
CAN
SpaceWire
RS-422
Identify and troubleshoot interface compatibility issues.
Confirm that subsystem interfaces operate according to applicable requirements and specifications.
Automated Testing & Technical Analysis
Develop automated test scripts using
Python or MATLAB
.
Automate test equipment and simulated sensor inputs, including power supplies and electronic loads.
Execute repeatable verification procedures and analyze test results.
Document test findings and support the investigation of subsystem anomalies.
Help improve testing efficiency, repeatability, and reliability.
Required Qualifications
5+ years of experience
verifying aerospace subsystems, embedded robotics, or satellite platform architectures.
Strong technical knowledge in one or more of the following:
Power electronics
Orbital mechanics
Thermal management
Control systems
Experience developing automated test scripts using Python or MATLAB.
Experience automating or controlling test equipment, including power supplies and electronic loads.
Familiarity with simulated sensor inputs and hardware-in-the-loop testing.
Familiarity with space-industry data protocols and avionics testing architectures.
Understanding of satellite bus subsystems and system interfaces.
Strong troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
Experience working with satellite platform systems and spacecraft bus architectures.
Hands-on experience with ADCS, EPS, thermal control, or propulsion subsystem verification.
Experience with HIL testbeds and simulated orbital dynamics.
Experience with battery charge/discharge testing and Solar Array Simulator integration.
Experience testing flight software command routing, telemetry, and FDIR functionality.
Familiarity with CAN, SpaceWire, and RS-422 communication protocols.
Experience developing automated verification procedures for complex aerospace systems.
Ideal Candidate Profiles
Candidates with experience in the following roles are encouraged to apply:
Platform Systems Verification and Validation Engineer
Satellite Systems V&V Engineer
Satellite Systems Integration and Test Engineer
Aerospace Verification Engineer
Spacecraft Systems Test Engineer
Embedded Systems Validation Engineer
Satellite Platform Test Engineer
Avionics Verification Engineer
Candidates with hands-on satellite subsystem testing, automated test development, and spacecraft interface verification experience are especially encouraged to apply.
🌎 Work Arrangement & Relocation
Remote opportunities are available for qualified U.S. and Canadian citizens.
Qualified candidates from the
UK and Europe
may be considered for relocation to Canada, with relocation assistance and a relocation bonus available.
Location: CAN: Vancouver (333 Seymour St)
Workplace: Hybrid
ABOUT THE ROLE
For a small business, getting paid isn’t an abstract technical problem. It affects whether they can pay their people, buy supplies and take on their next opportunity. We connect money movement with financial context to help small businesses manage cash flow with greater confidence.
Payments is one of Xero's biggest areas of investment and growth, and it's how small businesses get paid, pay their people, and take on their next opportunity. As Engineering Manager, you'll lead the Payments Platform engineering team in Vancouver as it takes on early-stage initiatives that power money movement across Xero and enable new product lines globally, including global bill payments. You'll keep the team delivering while building the engineering practices and capability it needs to grow.
THE TECHNICAL CHALLENGES
The team is building the capabilities that sit underneath every payment a small business makes or receives. Four problems define the work:
- A shared payments platform: Build orchestration, risk and fraud, and multi-provider capabilities that work across products and markets, helping teams launch new payment products faster without rebuilding the same foundations.
- Global bill payments: Make a complex financial process feel simple for small businesses while keeping it accurate, secure and connected to the accounting record.
- High throughput at scale: Design reliable, secure distributed services that remain dependable under real-world production constraints.
- Customer impact alongside architectural progress: Selectively rebuild and enhance existing systems, delivering value quickly while moving toward a coherent long-term architecture.
- AI capabilities customers can trust: Apply AI to challenging product problems while protecting customer trust, and bring the same discipline to how we evaluate and operate those capabilities.
Your job is to make sure the team can take on these problems together, sequencing the work so that both customer value and long-term architecture move forward.
IMPACT
- First 6 months: you'll understand the payments platform, its consumers, and the customer problems it enables teams to solve. You'll have the team delivering production code, with a clear delivery plan and roadmap agreed for at least one core capability, such as onboarding, orchestration, risk and fraud, or multi-provider support. You'll also have set up healthy on-call and review practices, and you'll be building the team's capability through mentoring and technical reviews.
- First 12 months:the team's architectural decisions will be running in production and helping new payment products launch faster. You'll have established engineering standards and clear ownership across the Vancouver Payments team, and the work will be reaching small businesses through faster, safer ways to pay and get paid.
OWNERSHIP
You'll own the delivery, staffing, and operational health of the Vancouver Payments engineering team, including hiring, performance, and career development for every engineer on it. You'll set the team's priorities with the product and engineering leadership, and you'll own the team's processes, quality standards, and on-call practices within agreed standards. Technical architecture decisions for the platform sit with the team's technical leads and principal engineers, and you'll make sure those decisions are backed by a team that can deliver them. Because the initiative and the team are both early in their development, you'll help shape how the team works, including its use of AI-assisted development. Engineers on the team own their work, including quality, reliability, and on-call, and you'll make sure that accountability is built into how the team operates.
WHO YOU'LL WORK WITH
- Lili Kan https://www.linkedin.com/in/lilixkan/, GM/VP, Payments Platform Engineering. Lili brings extensive experience building platforms and leading engineering teams in Silicon Valley. She previously led Payment Intelligence engineering at Stripe, building systems that protect payments from fraud. Before that, she spent four years at Uber, working across platform services, systems for operating self-driving fleets, and Driver Safety & Insurance Engineering.
- Jing Feng https://www.linkedin.com/in/jingff, Head of Engineering, Payments Platform. Jing brings engineering leadership experience from Uber, Apple, LinkedIn and Yahoo. Most recently, she led Risk Product Engineering at Uber, building capabilities to detect and prevent fraud and risk.
WHAT YOU BRING
- A proven record of leading engineering teams that deliver highly available distributed systems under real production constraints, with strong operational practices
- Experience growing and managing engineers, including hiring, performance management, and career development, and a track record of building inclusive, high-trust team cultures
- Experience building a platform or product from an early idea into production, and evolving it as adoption and complexity grow
- Enough technical depth in system architecture, API design, and data stores to guide design reviews and trade-off decisions with your technical leads
- Experience setting direction and breaking complex problems into clear, actionable plans that lead to delivery
- Comfort using AI tools to improve development workflows, with judgment about when and how to validate their output
Nice to have:
- Experience in payments, fintech, or money movement, such as payment orchestration, risk and fraud, or multi-provider integrations. Experience in adjacent domains with demanding reliability, security, or correctness requirements is also valuable.
- Experience modernizing established systems while continuing to deliver value to customers
- A track record of partnering with product, design, and other cross-functional teams to turn complex business needs into resilient engineering solutions
HOW WE WORK
We’re bold in our vision and pragmatic in execution, delivering useful improvements along the way rather than waiting for a large rewrite. We invest in AI to learn faster and focus effort on higher-value problems, while engineers stay accountable for what they ship. We use shared frameworks to avoid reinvention, leaving teams room to innovate. Engineers own their work, including quality, reliability, and on-call. Leaders set context and priorities, and engineers help shape the solutions.
WHERE WE WORK
We offer a hybrid model that blends the flexibility of working from home with the collaboration of the office, including designated boost days in our modern office spaces. This role is open to hybrid candidates in Vancouver, British Columbia. We also welcome applications from candidates across Canada interested in relocating to Vancouver.
OUR HIRING PROCESS
1. TX phone screen (45 minutes): a conversation with your Talent Specialist about your background, motivations and the role.
2. Technical assessments: A systems design assessment, run through an independent third-party provider and based on real-world scenarios.
3. Technical deep dive (45–60 minutes): with a Principal Engineer and the hiring team. You'll walk through a past project you led, covering how you thought about it, executed it and led through its complexity.
4. Values / Future Proof Xero (45 minutes): how you show up day to day, aligned with Xero's values and capabilities such as adaptability, ownership, customer thinking and AI fluency.
5. LEADership (45–60 minutes): real examples of how you lead, influence and deliver in ambiguous, fast-changing environments, assessed against Xero's leadership principles.
COMPENSATION & TOTAL REWARDS
At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits.
The expected base salary range for this role is $188,000 - $236,000 CAD
Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role.
In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation:
- Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance.
- Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets.
This is a posting for an existing vacancy.
Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.
Location: Mexico
Workplace: remote
About Welo Global
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com
About the Role
We're hiring a technically strong Senior Data Analyst to help modernize how our FP&A organization uses data, analytics, and automation. This is an embedded Finance role: you'll report directly to the FP&A Director and work side by side with her day to day while partnering closely with our central Data Analytics and Data Engineering teams on infrastructure, standards, and complex technical problems. It's a hands-on execution role for someone who builds.
Financial and operational data at Welocalize lives across multiple systems - Workday Financials, Adaptive Planning, Salesforce, a Redshift data warehouse, Power BI, and years of Excel workbooks carrying critical processes. Much of it doesn't connect cleanly, and a lot of institutional knowledge lives in undocumented spreadsheets, manual processes, and Power Queries rather than any system of record.
You might start with a complex, years-old Excel workbook and a simple prompt: “This is how we do this today.” Your job isn't to automate the workbook as-is - it's to understand its purpose, trace its logic to source, figure out what users actually need, and design something better: a rebuilt pipeline, a SQL/Python replacement, a driver-based view, an exception-monitoring workflow, or an AI-assisted tool.
We're just starting to build out an FP&A AI repository - documentation, business logic, and workflows meant to let AI reliably execute FP&A processes, not just answer one-off questions - and you'll partner with us to determine its direction.
This role is a deliberate combination of three things:
1. Fluency with data itself - the ability to query, shape, and manipulate data directly.
2. An engineering mindset - building automated, repeatable systems (workflows and dashboards that run and refresh on their own, integrations across tools) rather than one-off analysis, and knowing how to scope and coordinate real pipeline or data mart work with Data Engineering.
3. An investigative instinct - the ability to look at data and figure out what it's telling us, not just execute a report exactly as specified.
What You'll Do
Partner directly with FP&A leadership to understand existing reporting, analytical, and planning processes and identify where they should fundamentally change, not just get faster.
• Reverse-engineer complex Excel workbooks and manual processes to understand their data sources, business logic, calculations, and the questions their users are actually trying to answer.
• Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools.
• Work through large, imperfect, multi-system datasets - resolving data quality, mapping, reconciliation, and grain issues along the way.
• Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers, rather than simply reporting what happened.
• Design dashboards and reporting experiences around the decisions people actually need to make, not a recreation of an existing spreadsheet in a new tool.
• Build AI-assisted, interactive HTML reporting tools - developed with the help of AI coding tools and engineered to refresh efficiently on their own, without repeated AI calls.
• Develop driver-based analysis, exception reporting, and monitoring approaches that surface important changes proactively.
• Explore and build AI-assisted and agentic workflows - including ways for LLMs to interact with data, tools, APIs, and reporting processes.
• Partner with the central Data Analytics and Data Engineering teams on shared data infrastructure and standards - including scoping and coordinating data pipeline and data mart requests.
• Contribute in a leadership capacity within the analytics function even without formal management responsibility - shaping how problems get approached, mentoring by example, and helping set the bar for analytical rigor.
• Translate complex analytical findings into clear, actionable insight for Finance leaders and other business stakeholders.
• Partner in building out our FP&A AI repository - the documentation, conventions, and workflows meant to let an AI assistant execute FP&A processes reliably - and help shape its direction as we go.
How You Think
Technical skills matter, but how you approach problems matters just as much. We're looking for someone who:
• Is genuinely curious and naturally asks “why?” when something doesn't reconcile or doesn't make sense.
• Enjoys digging into messy or unfamiliar data and figuring out how things connect.
• Doesn't assume an existing process or report is right simply because that's how it's always been done.
• Can take an ambiguous problem and independently structure an approach to solving it, while knowing when to pull others in rather than spinning wheels alone.
• Looks beyond the initial request to identify opportunities, risks, and better approaches the requester may not have thought to ask for.
• Enjoys collaborative problem-solving - bouncing ideas around, testing hypotheses, and challenging assumptions to get to a stronger answer.
• Takes ownership of the areas they work in - the business purpose, the data, the known issues, and the opportunities for improvement - rather than treating each request as a one-off ticket.
• Likes building things, experimenting, and continuously improving how work gets done.
Required Skills and Experience
5-10 years of relevant experience required. You should be genuinely, hands-on strong across:
• SQL - comfortable joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas.
• Python - practical proficiency for data transformation, analysis, and automation.
• ETL/ELT fluency - strong enough understanding of pipeline design to define data requirements, validate output, and partner effectively with Data Engineering on pipeline and data mart requests. Hands-on pipeline-building experience is a plus.
• Report and dashboard building - able to design and build a reporting/analytical experience end-to-end, whether on a modern BI platform (Power BI, Tableau, Looker, or similar) or as a standalone interactive HTML/web-based report. Standalone HTML/web-based reports are increasingly our primary format.
• Automation - demonstrated experience automating manual, recurring data or reporting workflows.
• Comfort learning and adopting new AI-assisted tools and workflows - you should be genuinely curious about this space and ready to build fluency quickly on the job.
• Advanced Excel, including the ability to deconstruct sophisticated, undocumented legacy workbooks.
• Demonstrated ability to explore data and figure out why something happened - forming and testing your own hypotheses, not just reporting what happened.
• Fluent English, spoken and written. This is a fully remote role and you'll communicate directly, in English, with business stakeholders and executive leadership as well as data analysts and engineers across our global organization, where English is the shared working language.
Preferred Experience
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable. Master's degree is a plus.
• Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function.
• Familiarity with financial concepts such as revenue, margin, profitability, forecasting, and variance analysis.
• Experience modernizing legacy Excel-based reporting or analytical processes.
• Experience working in an environment where data is distributed across multiple systems and isn't always perfectly documented.
• Experience working effectively in a fully remote, distributed team environment.
• Exposure to AI/agentic tooling, or experience helping design how AI gets applied to a business process (e.g., LLM workflows, tool/function calling, RAG, MCP, building AI-assisted reporting or automation).
• Machine learning, statistical modeling, or formal data science experience is welcome but not required.
Location: Boston, MA; San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As the Sales Manager for Life Sciences at Anthropic, you’ll lead the foundational team introducing our frontier AI platform to the pharma and biotech ecosystem, spanning large pharma, mid-size and emerging biotech, and the organizations that support drug development. You’ll build and develop a team of Strategic Account Executives who drive adoption of safe, frontier AI by securing strategic deals with pharmaceutical and biotech companies. You’ll bring deep domain fluency in how drugs are discovered, developed, approved, and launched to coach your team’s consultative sales approach, while becoming a trusted advisor yourself to senior pharma and biotech stakeholders, helping them embed and deploy AI across the drug lifecycle from target discovery through commercialization. In collaboration with Product and Marketing, you’ll continuously refine the team’s value proposition, sales methodology, and market positioning to resonate with decision-makers across large pharma and biotech.
The ideal candidate has a passion for developing new market segments within pharma and biotech, pinpointing high-potential opportunities across discovery, preclinical, clinical, regulatory, manufacturing, and commercial functions, and building a team that can execute strategies to capture them. By driving deployment of Anthropic’s emerging products across pharma and biotech organizations, you’ll help them accelerate the path from science to patients while advancing the ethical development of AI.
Key responsibilities
Build and lead a specialized team of Strategic Account Executives covering large pharma and biotech accounts, setting growth targets by segment and coaching reps through the full sales cycle from outbound to close
Design and oversee sales strategies tailored to the distinct procurement cycles of pharma and biotech, including R&D and discovery budgets, clinical development and operations, regulatory and CMC investment, commercial budgeting, and enterprise IT and digital transformation programs, translating market and trend analysis into account plans and campaigns that meet and exceed team revenue targets
Identify and prioritize high-potential opportunities across target identification and drug discovery, preclinical development, clinical trial design and operations, regulatory affairs and submissions, medical affairs, manufacturing and quality (GxP), pharmacovigilance and drug safety, and commercial functions, partnering cross-functionally to differentiate Anthropic’s offering for pharma and biotech use cases
Run a disciplined pipeline and forecasting cadence across the team, managing an evolving sales process to deliver predictable, coachable performance against quota
Serve as Anthropic’s domain expert across the pharma and biotech value chain, including discovery research, IND-enabling studies, clinical trial operations, NDA/BLA regulatory submissions, tech transfer and manufacturing, post-market safety, and commercial launch, and translate that expertise into repeatable playbooks, frameworks, and go-to-market strategies your team and the broader field organization can scale
Partner directly with C-suite and senior R&D leaders (CEOs, CIOs, CDOs, CSOs, CMOs, Heads of R&D, Heads of Clinical Development, Heads of Regulatory, CCOs) across pharma and biotech organizations to design multi-year AI transformation roadmaps and build long-term trusted advisor relationships
Partner closely with Product and Applied AI to translate feedback from discovery scientists, clinical operations teams, regulatory and quality leaders, and commercial teams into product and roadmap input, strengthening Anthropic’s value proposition across the segment
Build strategic relationships with life sciences-focused system integrators, technology vendors, CROs, CDMOs, and industry organizations to scale go-to-market capabilities
Establish Anthropic’s position as the AI partner of choice across pharma and biotech through conference presentations, white papers, case studies, and participation in industry forums
Codify learnings into playbooks, templates, and best practices, partnering with Marketing and Enablement to scale winning use cases and proof points across pharma and biotech accounts
Minimum qualifications
10+ years of experience in life sciences, with at least 5 years specifically selling into or working within pharma or biotech organizations (R&D, clinical, regulatory, manufacturing, or commercial functions, or related consulting)
Experience in leadership roles managing or coaching enterprise sales teams, with a track record of driving measurable revenue outcomes in pharma, biotech, or adjacent life sciences settings
Deep understanding of business models, operations, and economics across pharma and/or biotech, including the drug development lifecycle, the regulatory environment (FDA, EMA, GxP, 21 CFR Part 11), and competitive dynamics
A track record of managing or overseeing complex, multi-stakeholder sales cycles within pharma or biotech organizations, securing strategic deals by understanding both technical requirements and scientific, regulatory, and commercial use cases
Proven experience exceeding revenue targets by effectively managing a team’s pipeline and an evolving sales process
Excellent communication skills, with the ability to present confidently across pharma and biotech audiences, from discovery scientists and clinical leaders to C-suite executives
A genuine interest in deploying AI responsibly and motivation to advance Anthropic’s mission of building safe, beneficial AI
Preferred qualifications
Deep understanding of buying cycles, decision-making processes, and key pain points across both large pharma and biotech, and across multiple functions (R&D, clinical, regulatory, manufacturing, commercial)
A strategic, analytical approach to assessing the pharma and biotech market, paired with creative, tactical execution to capture opportunities and a willingness to roll up sleeves on deals alongside the team
Experience developing and refining AI use cases in collaboration with customers and channel partners, spanning drug discovery, clinical development, regulatory and quality, pharmacovigilance, manufacturing, or commercial functions
Experience building or scaling a specialized sales team from an early stage
Passion for and/or experience with advanced AI systems and their applications in drug discovery and development, with strong conviction around safe, ethical development of AI in these contexts
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:
$450,000
—
$700,000 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.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As the leader of our Enterprise Asset & Wealth Management sales organization, you will build and lead a team that brings transformational AI to the world's leading asset managers, wealth managers, and private markets firms. These are organizations rethinking how they generate investment insight, serve clients and advisors, scale personalization, and meet fiduciary and regulatory obligations. They are looking for a partner they trust to take frontier AI from promising pilots into production at the core of their business.
You will own a broad portfolio of major AWM institutions at very different stages of AI adoption, from firms already running Claude in production to those just beginning their journey. Your coverage will span global and regional asset managers, alternatives managers, and wealth businesses. You will lead Account Executives, design the coverage and territory model, and build the repeatable, AWM-specific plays that turn early wins into durable, scaled adoption across research, portfolio and client operations, advisor productivity, and compliance and supervision. The selling is technical and multi-stakeholder: platform decisions, model governance, security and procurement rigor, and solutions built on Claude through our API, Claude for Enterprise, Claude Code, and partner cloud platforms. You will shape strategy and operating rhythm while staying personally engaged with executives on the pursuits that matter most.
This is a rare opportunity to build an organization, not just run a number: to shape how the asset and wealth management industry adopts frontier AI, and to do it at a company where safety, trust, and long-term customer outcomes are central to how we sell.
Key responsibilities
Define AWM go-to-market strategy and coverage design, including segmentation across asset managers, alternatives managers, and wealth platforms, territories, account prioritization, and vertical value propositions, and evolve the coverage model as the business scales
Recruit, coach, and retain Enterprise Account Executives with deep asset and wealth management and platform-selling expertise; develop leadership talent and create career paths that keep top performers growing
Codify the use cases, proof points, reference stories, and sales motions that make wins repeatable across AWM, such as investment research and idea generation, portfolio and client reporting, RFP and due diligence automation, advisor productivity and client personalization, and compliance and supervision workflows, partnering with Marketing, Enablement, and partner teams to scale them
Engage personally with C-level and business-line executives (CEOs, CIOs, COOs, Chief Data and AI Officers, Heads of Distribution, and Heads of Wealth) on priority pursuits, building business cases and value narratives and navigating complex procurement, security, model-risk, and legal processes through to production deployment and expansion
Own the organization's revenue targets and operating rhythm, instilling pipeline-generation discipline and running forecasting, deal inspection, and account planning cadences that make performance predictable and coachable across a high-volume book of business
Partner closely with Applied AI, Solutions Architecture, and Product to design solutions, prove value quickly, and translate AWM needs, including fiduciary, books-and-records, and client-data requirements, into product and roadmap input
Orchestrate cross-functional and partner motions with Customer Success, Marketing, Partnerships, Legal, cloud partners, and the data and technology providers that AWM firms rely on, to deliver a seamless customer experience, and represent Anthropic with customers and at industry events as a visible, trusted leader
Minimum qualifications
Experience leading enterprise sales teams that sell technical, complex products such as API-first platforms, cloud infrastructure, or data and machine learning platforms
A track record of winning and growing enterprise customers, including building C-suite relationships, in asset and wealth management (asset managers, alternatives managers, private banks, wealth platforms, or the technology and data providers that serve them)
Experience designing go-to-market coverage for an enterprise sales team, including segmentation, territories, and account prioritization
Operational rigor across both a high-volume pipeline and complex, multi-stakeholder sales cycles, balancing velocity with deal quality and forecasting accurately in fast-changing environments
Credibility with technical buyers and builders, and with investment and distribution leaders: CIOs, CTOs, CDOs, Heads of AI/ML, Heads of Research, and Heads of Wealth or Distribution, plus experience pairing effectively with solutions architects and applied AI teams
Strong coaching skills that raise team performance through deal coaching and account strategy, combined with personal effectiveness alongside executives on high-priority opportunities
A genuine interest in deploying AI responsibly and motivation to advance Anthropic's mission of building safe, beneficial AI
Preferred qualifications
Experience leading other sales leaders (second-line management), or demonstrated readiness to step into that scope
Experience building or meaningfully scaling a verticalized or multi-segment sales organization
Experience bringing generative AI or LLM-based products, or other emerging platform technologies, to large asset managers, wealth managers, or private markets firms
Familiarity with AWM use cases and buyers, such as investment research and portfolio analytics, client reporting and RFP automation, advisor and relationship-manager productivity, and fund operations and servicing
Deep familiarity with regulated-industry selling in AWM, including fiduciary and suitability obligations, SEC and FINRA expectations on supervision and books and records, model-risk management, client-data privacy, security review, and the governance expectations of financial institutions
Experience selling with and through cloud and ecosystem partners such as AWS, Google Cloud, and global systems integrators, as well as the data, analytics, and portfolio-technology vendors embedded in AWM firms
Familiarity with consumption- or usage-based commercial models and value-based pricing conversations
Experience leading organizations through rapid growth, re-segmentation, or significant change
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:
$450,000
—
$700,000 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.
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: United States; Dublin; Europe; Japan; Mexico; Italy; Poland; United Kingdom; Canada
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
ElevenMusic is our AI music creation platform, letting anyone turn an idea into a finished, studio-grade track in minutes, with control over genre, mood, structure, and vocals across multiple languages. It is one of the most exciting parts of the ElevenCreative suite, and we want its voice, community, and content presence to match the ambition of the product.
We are looking for a Content Creator & Strategist to own how ElevenMusic shows up in the world. You will make music with the platform every day, push it to its limits, and turn what you discover into educational content, tutorials, and social posts that teach creators what's possible. You will own the ElevenMusic social accounts, build and energise the community around the product, and represent ElevenMusic on stage at creator events.
This is a hands-on role at the intersection of music creation, content, and community. The right person is a genuine music maker who lives on social platforms, has strong opinions about how an AI music brand should show up, and is just as comfortable behind a mic or on stage as they are in an editing timeline. Because you'll be using the product harder than almost anyone, you'll also be a critical feedback loop into the engineering team, shaping the product itself.
WHAT YOU WILL DO
- Create educational content and tutorial videos around ElevenMusic, recording, editing, and formatting them natively for each platform, and publish them across our socials
- Make music with ElevenMusic constantly, testing the platform to its limits and turning experiments into content that shows creators what's possible
- Provide structured, high-signal product feedback to the engineering team based on deep daily use, helping shape the roadmap
- Own and manage the ElevenMusic social accounts, from content calendar and strategy through to publishing, engagement, and analytics
- Help build and grow a community around ElevenMusic, sparking conversation, surfacing creator feedback, and championing standout work
- Speak at creator events, representing ElevenMusic through talks, demos, and workshops
- Plan and execute content around product launches and feature releases, coordinating with product, engineering, and Marketing
- Stay ahead of trends in music creation, AI tools, and platform culture to find opportunities for the brand
REQUIREMENTS
- Demonstrated experience creating music and music-related content, with a portfolio of work you can share, you are a genuine music maker, not just a marketer
- Proven ability to produce educational content and tutorial videos end-to-end: recording, editing, adding text and motion, and formatting natively for platforms like X, Instagram, TikTok, and YouTube
- Experience managing social media accounts for a technology, music, or creative tools company, including content calendars, copywriting, and analytics
- Comfortable presenting publicly, speaking at events, running demos or workshops, and being a visible face for the product
- A genuine understanding of the AI and music creation landscape, you use the tools, follow the space, and have informed opinions about where things are headed
BONUS
- Experience building or growing a creator community (Discord, forums, or similar)
- Background as a working musician, producer, or music educator with an existing audience
- Experience giving product feedback or working closely with engineering/product teams
- Experience with social scheduling and management tools (Sprout Social, Later, Buffer, or similar)
- Multilingual capabilities
GROWTH POTENTIAL
We believe in hiring the best talent in the world to make an impact in the right role at the right time. At ElevenLabs, strong performance creates opportunities for growth. Here are some of the career paths you can expect after excelling in this role:
- Lead content and community strategy across ElevenMusic as the product and team scale
- Move into a broader creative or content role spanning video, editorial, and social across ElevenLabs brands
- Expand into creator partnerships, evangelism, or brand marketing as the growth team evolves
LOCATION
This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, Madrid, Warsaw and many more.
#LI-Remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Americas; EMEA
Workplace: Remote
RevenueCat gives app businesses the infrastructure and tools to build, run, and improve their monetization. Since graduating from YC's S18 batch, we've grown into the default monetization platform for mobile.
We're in 50%+ of newly shipped subscription apps, we process $16B+ in annual purchase volume, and we help everyone from a solo developer to the OpenAI mobile team understand and grow their revenue.
We're a remote-first team of 150+ people across 25+ countries, guided by values we actually practice: Customer Obsession, Always Be Shipping, Own It, and Balance.
This isn't the right fit for everyone. The systems you’ll build here manage billions of dollars and touch hundreds of millions of end users, and we don’t take that lightly. You'll be expected to work hard and hold a high bar for what you ship, alongside some of the sharpest, most driven people you've worked with. If that sounds energizing rather than exhausting, keep reading.
THE ROLE
We are looking for a Senior Product Data Scientist who is deeply product-minded and highly proactive.
This is not a role for someone who waits for perfectly defined questions or works in isolation. We are looking for someone who actively looks at our data, understands our customers’ pain points, identifies opportunities, and pushes ideas forward.
You will work closely with Product, Engineering, and Analytics to shape what we build, why we build it, and how we measure success. Your work will directly power customer-facing features such as LTV prediction, experimentation and statistical significance, benchmarking, and entirely new data-driven products we have not built yet.
You will be expected to bring ideas to the table, backed by analysis and clear hypotheses, and to influence product direction through data.
Our data stack includes a Python backend, PostgreSQL production databases, Snowflake, dbt, and AWS.
WHAT YOU WILL DO
- Proactively explore RevenueCat’s data to identify customer problems, opportunities, and product bets.
- Translate ambiguous product and business problems and questions into clear analyses, models, and recommendations.
- Partner with Product Managers to shape roadmaps, not just execute on them.
- Design, build, and ship production-grade predictive and descriptive models that power customer-facing features.
- Define and evaluate statistical approaches for experimentation, benchmarking, and forecasting.
- Communicate insights clearly and persuasively to technical and non-technical audiences, with a focus on customer impact.
- Continuously iterate on shipped models and features based on real-world usage and feedback.
This role has real ownership. You will not just support decisions, you will help drive them.
ABOUT YOU
You are a Senior Data Scientist who cares deeply about impact and product outcomes.
From a skills perspective, you bring:
- 5+ years of experience working as a Data Scientist.
- Strong SQL skills and comfort with data modeling.
- Experience building and deploying predictive and descriptive models in production.
- Experience writing or collaborating on production-ready Python code.
- A solid understanding of statistics and experimentation, ideally including Bayesian approaches.
- The ability to clearly explain complex ideas and results to broad audiences.
You recognize yourself in several of these:
- You are highly proactive and opinionated, and you are comfortable pushing ideas forward.
- You enjoy working with messy, real-world data and imperfect information.
- You care more about creating customer value than academic elegance.
- You are comfortable operating in ambiguity and building structure where none exists.
- You enjoy working closely with Product teams and influencing decisions.
- You are excited by the consumer subscription ecosystem and curious about how developers make money.
WHAT SUCCESS LOOKS LIKE
IN THE FIRST MONTH, YOU'LL:
- Understand our data models.
- Get to know the team.
- Ramp up on the ongoing data feature work.
- Implement and ship your first project.
WITHIN THE FIRST 3 MONTHS, YOU'LL:
- Meaningfully contribute to shipping a data feature to thousands of developers.
- Learn the basics of incident response, and be part of the on-call rotation.
- Work with our Product, Analytics and Engineering teams to improve our data pipelines for data science features.
- Launch your own explorations into our data to fulfill your own curiosity.
WITHIN THE FIRST 6 MONTHS, YOU'LL:
- Own one or more core data-powered features end to end.
- Influence the data feature roadmap with clear, data-backed proposals.
- Be a go-to partner for product teams on data-driven decision making.
WITHIN THE FIRST 12 MONTHS, YOU'LL:
- Propose and lead entirely new data-driven product initiatives.
- Push the boundaries of how RevenueCat uses data to help developers grow revenue.
- Help shape how data science operates at RevenueCat as the function grows.
WHAT WE OFFER:
- Competitive equity in a fast-growing, Series C startup backed by top-tier investors, including Y Combinator
- 10-year window to exercise vested equity options
- A fully remote environment designed around autonomy and flexibility
- 4-5 weeks of flexible time off annually
- Paid desk at a co-working space
- Workspace budget and continuous learning stipend
INTERVIEWING AT REVENUECAT
Our interview process is rigorous on purpose. We want to be sure that everyone we bring on is genuinely excited about this work, aligned with how we operate, and ready to meet our high bar for performance. Curious what that actually looks like? Read more in our blog post on how we hire at RevenueCat https://www.revenuecat.com/blog/company/how-we-hire-at-revenuecat/, including tips to help you succeed.
MORE ON HOW WE WORK:
- How we think about hiring and team design: Building a Winning Team https://app.notion.com/p/Building-a-Winning-Team-69e431c4c3df4b13961523cd93c0e9bf?pvs=21
- The values that guide how we work: Our Values https://www.revenuecat.com/blog/values/
- How we work as a remote team: How We Work Remotely at RevenueCat https://www.revenuecat.com/blog/how-we-work-remotely-at-revenuecat/
- What to expect from our interview process: Interview Expectations https://app.notion.com/p/RevenueCat-Interview-Expectations-1bdcb1a108b0800c8941def0f076f9e2?pvs=21
- What to expect from comp and employment: Employment FAQ https://app.notion.com/p/RevenueCat-Compensation-Employment-Overview-184cb1a108b0801398d4e525928597ab?pvs=21
Location: New York Office; California
Enterprise Account Executive, Fintech
Our Account Executives are expert storytellers and problem-solvers - we help crypto native (exchanges, Web3, DeFi), financial services, and enterprise companies confidently and securely adopt blockchain technologies as a part of their cryptocurrency strategy.
Account Executives are experienced in both new business creation and account management, and are market specialists. They establish trust and build strong customer relationships within their target market, tailoring their sales approach to their needs, and evangelizing Chainalysis solutions in a compelling yet approachable way. We measure success by the attainment of assigned quota, new logos, and the growth of accounts within the region. They are experts at navigating complex sales cycles and enjoy the thrill of creating territory and strategic account plans that lead to closing a deal.
We are looking for a Fintech Enterprise seller for our North America Private Sector team.
In this role, you'll:
- Exceed your quota and substantially increase our foothold in the private sector markets within North America Private Sector through prospecting and developing your sales pipeline, as well as expanding existing accounts
- Build relationships with customers based on trust and transparency resulting in network referrals that ultimately build Chainalysis’ brand awareness
- Create and execute go-to-market plans that result in predictable and increasing quarterly forecasts
- Build a diverse pipeline of opportunities resulting in consistent and accurate forecasting
- Help us develop compelling product positioning and messaging specific to market trends, competitive drivers, region-specific sales channels, and more
- Have relationships across departments at Chainalysis allowing you to provide expert advice to prospects related to technical concepts, product roadmaps, solutions implementations, training, and craft compelling customer proposals.
We're looking for candidates who have:
- A passion for blockchain technology, and the potential to disrupt the financial services industry
- An articulate, enthusiastic, and effective communicator who can convey complex concepts in an approachable and concise way up to the CXO level
- 7+ years of B2B SaaS sales experience with experience selling into the financial services industry (banking, fintech, asset management, etc)
- Strong understanding of enterprise sales methodology and buying process
- Excellent communication skills to present Chainalysis at customer-facing and conference presentations
- A great track record in new business development and market creation
- The ability to bridge technology to a customer’s desired business outcomes
- A desire to excel in a dynamic startup environment
- A solid track record of over-achieving quota in a consultative sales environment
- The ability to travel
Nice to have experience:
- You don’t have to be a blockchain expert, but you’re insatiably curious and willing to learn
- Experience selling solutions related to risk & compliance, data analytics, financial crimes, or data security solutions
Total Compensation:
• Base Salary Range: $150,000-$170,000
• Offers Commission: 50/50 OTE
• Offers Equity
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Paris, Remote
Workplace: hybrid
As People Experience Specialist, you will drive the operational execution of our global Learning & Development, Employee Engagement, Facilities, and CSR initiatives. You will manage daily L&D workflows, maintain our 360Learning course catalog, support engagement survey logistics, coordinate learning events, handle day-to-day office facilities requests, and compile regulatory HR/CSE training reports.
Reporting to the People Experience Lead and collaborating closely with HROps and HRBP, you will ensure our training processes, office facilities operations, onboarding workflows, and administrative compliance run efficiently, accurately, and smoothly.
Within 1 month, you will:
Immerse yourself in our Convexity culture and master our tool stack (360Learning, Lattice, Confluence, Trello, Bob, Excel/Google Sheets)
Learn our L&D administrative workflows, vendor management protocols, facilities management routines, and CSE reporting requirements
Take ownership of incoming employee training requests, office access/badge logistics, mail/package distribution, and ad hoc helpdesk tickets
Within 3 months, you will:
Triage and process employee training requests against our Learning Allowance guidelines
Maintain internal course hygiene on our 360Learning platform (catalog updates, tagging, content cleanups across 700+ courses) and on Confluence (knowledge base)
Manage administrative launch and reminder schedules for engagement pulse surveys on Lattice
Manage day-to-day facilities operations (office access badges, mail/deliveries, basic maintenance coordination, ad hoc assistance tickets)
Collect raw HR data for CSR reporting (carbon footprint metrics, EcoVadis documentation, and standard HR answers for Sales RFPs)
Compile quarterly and annual CSE (Comité Social et Économique) mandatory training reportings in coordination with HR Ops.
Within 6 months, you will:
Handle event logistics for internal workshops, coaching co-dev groups, team-building gatherings, and company-wide Learning Days
Assist in creating and updating learning assets (short modules, onboarding checklists, tutorial videos, slide decks)
Track training completion rates, survey participation metrics, and produce monthly People Experience dashboards
Support daily office logistics and ad-hoc facility projects, including space planning, access management, and adapting our workspace to evolving business needs
Within 12 months, you will:
Operate with full autonomy across routine L&D administration, facilities logistics, engagement survey support, and CSE compliance reporting
Identify operational bottlenecks and propose automated workflows between 360Learning, HRIS (HiBob), and administrative tracking tools
The Skill Set:
1+ years of experience in L&D Operations, People Ops, HR administration, workplace/facilities coordination, or event planning (internships/apprenticeships included)
Comfort handling day-to-day workplace operations (badges, deliveries, ad hoc assistance tickets, maintenance follow-up)
High comfort with spreadsheets (pivot tables, formulas) to collect CSR raw data, prepare CSE reports, and analyze training requests
Rigorous organization, strong multi-tasking skills, and strict respect for administrative deadlines
Tech savvy: comfortable with tools like learning platforms (360Learning), HR systems and Google Workspace
Fluency in French and English (written and spoken)
Enthusiasm for our working environment explained here:
https://bit.ly/Convexity360L
What we offer:
Compensation:
Package includes base salary, a variable component and equity 📈
Benefits/Perks
: Work From Home stipend, RTT, lunch vouchers, medical insurance, gym subscription, 1 month parental leave for the second parent.
Balance:
Flexible hours, full remote work possible anywhere in France 🏠. Working remotely from outside France is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍
Diversity, Equity, and Inclusion
: We have 6 active ERGs including Mental Health, Environmental/Sustainability, Women, Parents, LGBTQIA2S+, and Ethnic Diversity. Each group has at least one executive team member serving as a member of the group, bringing greater awareness to each group’s activities and providing a quick path to impact 🤝
Corporate Social Responsibility
: Review our CSR Charter: 360learning.com/blog/corporate-social-responsibility-charter 🌎🌏🌍
Culture:
A framework that will help you make an impact - envision our way of working and our Convexity Culture:
https://bit.ly/Convexity_360L
& find out more about the teams, product and processes
https://bit.ly/42H1ggC
🚀👩🏻💻🏆
Interview Process:
Phone Screen with our Talent Acquisition Manager
Discovery Meeting with our People Experience Lead
Case Study Meeting with our People Experience Lead and our HR Business Partner
Clarification Meeting with our HR Operations Associate
Culture Fit Meeting with our Chief People Officer
Offer !
Who We Are
360Learning enables companies to upskill from within by turning their experts into champions for employee, customer, and partner growth. With our LMS for collaborative learning, Learning & Development teams can accelerate upskilling with the help of internal experts instead of slow top-down training. 360Learning is the easiest way to onboard and upskill employees, train customer-facing teams, and enable customers and partners–all from one place.
360Learning powers the future of work at 1,700 organizations. Founded in 2013, 360Learning has raised $240 million with 400+ team members across North America and EMEA.
Learning Includes Everyone.
In concert with our culture, 360Learning believes learning includes everyone and that means embracing the strengths of diversity, connectedness, and inclusion. Through conscientious efforts, our global footprint celebrates cultures, perspectives, and experiences from all over the world to support our platform that is built for all regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. Thus, 360Learning is proud to be an equal opportunity workplace, and we commit to continue this throughout our processes for recruitment, compensation, benefits, performance, promotion, and all other conditions and terms of employment. We want to learn from and with you!
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
The Opportunity:
Make a difference.
Are you looking for something new in your career? Enjoy a challenge? Love to innovate and learn? This is an exciting opportunity to join a technology startup in a high growth phase. Our Commercial Solutions Engineering team are our in-house, customer-facing product experts. The Commercial SE team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure they are happy and successful. We share our technical and product expertise with customers through demos, hands-on enablement, presentations, technical evaluations and ongoing interaction. We also partner closely with our Sales team to help qualify and close opportunities. The Commercial SE team is also one of the primary routes of communication from our customers through into the Product Management and Engineering teams.
What You’ll Be Doing:
Join as an early member of a high growth team working together to solve technical and customer problems the right way
Partner with our Sales team to articulate the overall Grafana value proposition, vision, and strategy to customers
Own the technical engagement with customers and help to close high-velocity opportunities through advanced competitive knowledge, technical skill, and credibility
Deliver product and technical presentations to potential and existing customers
Proactively communicate with customers and internal teams to provide a feedback loop on our products and the competitive landscape
Drive product conversations based on need and problems learned during customer interactions
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles, and create other public and internal enablement material
What Makes You a Great Fit:
Ideally located on the West Coast
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space while we will be adding more junior folks later on, right now we just need team members that can hit the ground running.
We’re a startup so your job duties will be varied and complex and will require strong judgment, collaboration, and leadership
We are a remote-first company so you would need to learn to work and collaborate with an international team
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You will love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically. Great candidates may be a recent grad of a coding bootcamp or have previous post-sales or engineering experience–we are excited to see what unique experiences and skill sets you bring to the table!
You are self-motivated, initiative, creative, and maybe you’ve already done a brave thing or two in your life!
Compensation & Rewards:
In the United States the OTE (On-Target Earnings) compensation range for this role is $182,000 - $226,000. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Arlington, VA, United States
National Security Services Recruiter
Company: IDS International
Employment Type: Full -Time
Compensation: $59,000 - $67,000 salary (experience-based) plus recruiting bonuses per employee start
WHY IDS?
IDS believes in resolving conflict, building innovative approaches to do so. Combining operational expertise with an intimate understanding of today’s greatest challenges, we bring our customers the solutions required for success in a complex and multidimensional world. IDS tailors solutions for a diverse range of government, military, nonprofit, and public-sector clients. Outstanding past performance built IDS’s reputation as the leading provider of support for multifaceted operations.
WHY THIS ROLE
This role is designed for a recruiter who thrives in the cleared space and excels at rapidly hiring highly specialized, mission-critical talent. You will support sensitive government and intelligence programs where hiring speed, accuracy, and compliance are essential to operational success.
This is a long-term opportunity for a motivated professional who wants to grow beyond recruiting into operations management, gain deep expertise in security clearance processes, and ultimately progress into program and operations management leadership roles.
KEY ROLES YOU WILL RECRUIT
You will source, screen, and hire candidates with five or more years of experience in one or more of the following areas:
Cleared Escorts
Construction Surveillance Technician (CST)
Technical Surveillance Countermeasures (TSCM)
Industrial or government security involving counterintelligence
Construction quality assurance
Hands-on supervisory construction
Security monitors
Cleared custodians
Bodyguards
Translators
Many roles support sensitive construction and secure facility environments requiring familiarity with ICD/ICS 705 and associated technical specifications.
RESPONSIBILITIES
Recruiting & Talent Acquisition
• Manage full-cycle recruiting for cleared programs with an emphasis on speed, quality, and compliance
• Partner with program leadership to understand staffing priorities, timelines, and clearance requirements
• Proactively source candidates using applicant tracking systems, referrals, and cleared-talent networks
• Conduct initial outreach, screening, and coordination of interviews once verification is complete
Security Clearance Awareness
• Understand and respect clearance verification workflows and restrictions
• Ensure candidates are verified prior to interviews or program-specific discussions
• Maintain confidentiality and compliance throughout the recruiting process
Pipeline & Operations Management
• Maintain accurate, real-time recruiting trackers and dashboards
• Track candidate status, site assignment, clearance level, and readiness
• Produce regular recruiting and pipeline reports tied to monthly quota performance
Tools & Organization
• Heavy daily use of Microsoft 365 tools including Outlook, Teams, Excel, and SharePoint
• Maintain meticulous organization, documentation, and follow-up discipline
• Coordinate effectively across recruiting, security, HR, and operations teams
SUCCESS IN THE FIRST 90 DAYS
• Build and maintain a strong pipeline of qualified cleared candidates
• Demonstrate consistent compliance with clearance verification processes
• Meet or exceed monthly recruiting quotas
• Establish trust with program leadership through reliability and performance
REQUIRED QUALIFICATIONS
• Proven experience recruiting in the cleared space
• Demonstrated knowledge of government security clearance processes
• Experience recruiting technical, construction, or security-focused roles
• Strong Microsoft 365 and spreadsheet skills
• Highly organized, self-motivated, and performance-driven
PREFERRED QUALIFICATIONS
• Familiarity with ICD/ICS 705 environments
• Experience with clearance-related topics such as SF-86, e-QIP, DISS, or similar systems
• Background recruiting for construction surveillance, protective services, or cleared operational roles
CAREER GROWTH
This role is intentionally designed as a growth position. High performers will have the opportunity to expand into recruiting leadership, program coordination, operations management, and program management roles while gaining deep exposure to cleared program execution and security operations.
HOW TO APPLY
Submit your resume along with a brief summary describing:
1. Cleared roles you have successfully filled
2. The most challenging position you have recruited for and how you filled it
3. Recruiting tools or systems you rely on to stay organized and efficient
Location: Espoo; Amsterdam; Lisbon; Valencia; Berlin; Athens; Munich; Warsaw
Workplace: Hybrid
ROLE HIGHLIGHTS:
- Sales Engineer
- Location: EU
- Department: Data
- Reports to: Earth Observation Application Lead
- Employment type: Permanent
- Workplace model: Hybrid
- Employment is subject to applicable security screening (incl. SUPO, where required)
WHY THIS ROLE MATTERS:
As a Sales Engineer within ICEYE Data line of business, you will play a key role in supporting the technical sales process for our SAR data products. This position is ideal for someone earlier in their career who is eager to develop technical expertise, gain experience in customer engagement, and contribute to innovative Earth observation solutions.
You will work alongside our existing Sales Engineers, and the broader Sales and Product teams. This is a hands-on learning opportunity that combines technical problem-solving, communication, and sales support.
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
- Collaborate with the Sales team to gather and understand customer requirements and assist in developing tailored technical solutions.
- Learn to interpret customer needs and translate them into technical deliverables with guidance from senior colleagues.
- Support the preparation and delivery of technical presentations, demonstrations, and bids and proposals for customers.
- Assist in maintaining technical documentation, product specifications, and authoring bids and proposal materials.
- Use AI tools for research, data analysis, presentation preparation, and workflow automation to enhance productivity and accuracy.
- Participate in proof-of-concept activities, product evaluations, and solution testing.
- Stay current on ICEYE’s product offerings and the wider Earth observation and satellite data landscape.
- Continuously build your technical and commercial knowledge to grow into a more senior Sales Engineer role.
WHAT WE’RE LOOKING FOR
Must haves:
- 3+ years of experience in a technical or customer-facing role.
- Foundational understanding of remote sensing, geospatial technologies, or engineering principles, with a strong desire to deepen your expertise in these areas.
- Demonstrated interest in the operational use of satellite imagery and data-driven decision-making.
- Strong analytical and problem-solving skills with attention to detail.
- Clear and confident communication and cross collaboration skills.
- Eagerness to learn from colleagues and to develop presentation and technical sales skills.
- Ability to adapt quickly, manage multiple tasks, and thrive in a fast-paced environment.
- Comfort using or willingness to embrace AI tools (for writing, presentation and analysis) to improve efficiency and creativity in daily work.
- Bachelor’s degree (or equivalent experience) in Remote Sensing, Geography, Engineering, Computer Science, or a related technical field.
Nice to haves:
- Coding skills, preferably with Python
- Experience with APIs
- Experience with software management packages like Git, Confluence, Jira
APPLICATION PROCESS
- TA Screen;
- Hiring Manager Interview;
- Practical Task;
- Final Interview with SVP.
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.
San Francisco, CA | New York City, NY; For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation
УдалённоUnited States; This role is remote, with working hours that overlap US and Europe time zones
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоПротиворечивые условия: and Canadian citizens; relocation assistance and bonus available for qualified UK and European candidates; Remote & Relocation Opportunities; Relocation assistance and a relocation bonus are available for qualified candidates relocating to Canada; 🌎 Work Arrangement & Relocation; Qualified candidates from the; may be considered for relocation to Canada, with relocation assistance and a relocation bonus available
ГибридCAN: Vancouver (333 Seymour St); This role is open to hybrid candidates in Vancouver, British Columbia
УдалённоseniorMexico
United States - Remote; You are comfortable working in an international environment: a distributed team across the US, UK, and Europe, customers and auditors across time zones, and UK and EU regimes alongside US ones
ГибридWorking remotely from outside France is also possible, subject to some conditions (tenure, performance, destination, length, etc.) and the approval of our Remote Committee 🌍