Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are seeking an Enterprise Account Executive, Industries – Manufacturing to lead Anthropic’s go-to-market in Taiwan from our Singapore hub. You will bring Claude to Taiwan’s leading high-tech manufacturers in semiconductors, electronics, and the AI hardware supply chain, helping them apply AI across engineering, operations, supply chain, and corporate functions. You will own the full sales cycle with C-suite and senior technical stakeholders, working with Product, Engineering, Applied AI, and Partnerships to shape solutions that fit the market. As one of Anthropic’s first commercial presences covering Taiwan, you will also help define our regional strategy and build the foundation for long-term growth, in a way that reflects Anthropic’s mission to ensure the world safely makes the transition through transformative AI.
Key responsibilities
Meet and exceed revenue targets by winning new enterprise accounts and expanding existing ones, while landing flagship references across Taiwan’s semiconductor, electronics, and broader manufacturing sectors
Build and execute a territory plan that reflects Taiwan’s manufacturing landscape, including its buying behavior, regulatory environment, and data residency expectations
Lead consultative sales with C-suite and senior technical leaders, positioning AI as a driver of business transformation
Translate Claude’s technical capabilities into clear business value for manufacturing use cases
Run technical discovery with engineering leaders and speak credibly about security, IP protection, and deployment options with customers whose designs and process data are their most sensitive assets
Partner with Product, Engineering, Applied AI, and Partnerships to design tailored solutions and support complex deals
Build co-sell motions with hyperscaler and system integrator partners, including joint customer engagements and marketplace procurement, to extend reach across the territory
Identify new use cases and feed customer and market insights back into the product roadmap
Represent Anthropic with customers, partners, and industry stakeholders in Taiwan, including conversations about the safe and responsible use of AI
Minimum qualifications
10+ years in enterprise sales, business development, or account management, including selling to semiconductor, electronics, or other manufacturing customers in Taiwan
Deep understanding of Taiwan’s high-tech manufacturing ecosystem, including how leading companies organize engineering, manufacturing, and supply chain functions, and where AI creates measurable value
Track record of closing complex, multi-stakeholder enterprise deals
Existing commercial network among Taiwan-based enterprises
Fluency in Mandarin and English, with strong written and verbal communication and presentation skills
Strong commercial judgment and the ability to work independently in a fast-moving, early-stage market
Based in or willing to relocate to Singapore, with eligibility to work there and willingness to travel frequently to Taiwan
Bachelor’s degree in a related field or equivalent experience
Preferred qualifications
Experience selling AI/ML, cloud, data platforms, or enterprise SaaS into manufacturing, semiconductor, electronics, or industrial sectors
Experience co-selling with hyperscaler, channel, or SI partners
Familiarity with regional data residency, AI governance, IP protection, and enterprise procurement requirements
Interest in or experience with advanced AI systems and their safe development
Understanding of Taiwan’s competitive and sovereign AI market, including hyperscaler presence, government-backed local models, and manufacturers building their own models
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA
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 Product Counsel, you will be a hands-on legal partner to the teams building Claude for consumers and businesses. You'll work across Claude's apps, subscriptions, growth programs and enterprise offerings, moving to wherever the need is greatest. You'll learn from experienced product lawyers, get close to the product quickly, and take on more ownership as you go. This is a generalist role for someone who wants range, likes a fast pace, and is ready to do the routine work and the novel work with the same care.
Key responsibilities
Partner with Product, Engineering, Design and other cross-functional teams to give clear, practical legal guidance from early ideas through launch
Review product launches across Claude's consumer and enterprise offerings, spotting issues early and helping teams find a path forward
Advise on subscriptions, pricing, promotions, billing and other growth programs, including consumer protection and marketing rules
Support enterprise and regulated-industry products on topics such as admin controls, customer commitments and enterprise readiness
Draft and review user-facing terms, disclosures, in-product copy and marketing claims
Pull in privacy, commercial, IP, safety and other specialists, then return one integrated answer to your product partners
Build guides, templates and AI-powered workflows so routine questions get answered quickly and the team can focus on novel ones
Pick up new areas as priorities shift, and help with incidents and escalations when they come up
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
At least 4 years of relevant legal experience, with exposure to technology, consumer or regulated products
Experience advising business or product teams directly, not only other lawyers
Working knowledge of at least two of: consumer protection, privacy, advertising and marketing law, technology transactions, IP, or regulated industries
Curiosity about how AI products work, and the ability to pick up technical concepts quickly
A habit of making a clear recommendation, even with incomplete information
Comfort moving between assignments as priorities change, with no job too big or too small
Clear, concise writing that non-lawyers can act on
Openness to feedback and a track record of improving quickly
Experience using AI tools in your legal work, or a strong interest in learning to do so
Empathy and a service orientation, with a real commitment to Anthropic's mission
Preferred qualifications
In-house product counsel experience, or a secondment with a product team
Experience with subscription businesses, promotions, or consumer billing
Experience supporting enterprise SaaS or regulated customers such as healthcare or financial services
Experience building playbooks, self-serve guidance or legal automation
Application Deadline:
6pm PT on Friday November 13, 2026. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.
Role-specific policy:
For this role, we expect all staff to be able to work from our San Francisco office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$335,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic's Safeguards team plays a critical role in ensuring our AI systems are deployed safely, responsibly, and in line with our values.
As an Incident Manager, you will manage Safeguards incidents involving our AI systems from declaration through closure. You will assess severity, bring in the right people from Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams, keep leadership informed, and see follow-up work through. You will also oversee the Safeguards Enforcement on-call queue on a rotating basis, and help build and scale the incident response program, including runbooks, post-incident reviews, and automation of routine work.
Important context for this role: in this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a violent, sexual, or psychologically disturbing nature. This role also includes after-hours and weekend incident coverage on a rotating basis.
Key responsibilities
Serve as incident commander for Safeguards incidents from declaration through closure
Assess what qualifies as an incident, propose severity, and coordinate responders across Legal, Communications, Policy, Threat Intelligence, Security, Engineering, and research teams
Keep everyone working from the same facts by tracking input from each team, establishing what is known, what has changed, and what is still open, and sending regular updates that executives and partner teams rely on
Make sure Legal, Communications, and Public Policy are consulted before decisions that need them, and coordinate any external notifications
Run post-incident reviews, assign action items to named owners, and track them through closure
Oversee the on-call queue during your rotation as the first responder for urgent requests and escalations to Safeguards Enforcement
Triage each request, resolve what you can, route the rest to the owning team, and recognize when a request is the start of an incident
Take part in after-hours and weekend incident coverage on a rotating basis
Scope and deliver projects that improve the incident response program, such as on-call automation, incident readiness, and post-incident reviews and metrics
Draft and maintain runbooks and standard operating procedures
Work with Safeguards engineers to automate or reroute requests by writing the decision rules and testing the result
Maintain the incident record and the metrics that show leadership how the program is performing
Minimum qualifications
Experience running incidents or urgent escalations from start to finish in trust and safety, security, platform integrity, crisis management, or a comparable field, and readiness to lead high-severity incidents with support
Hands-on experience with incidents where someone was abusing or misusing a product or platform, such as account compromise, fraud, or coordinated malicious activity
Ability to make clear decisions under time pressure, record your reasoning, and recognize when a decision belongs to Legal, Policy, or leadership
Ability to write short, accurate updates that an executive can act on and that hold up to legal and external scrutiny
Experience coordinating people across many functions who do not report to you, securing their commitments, and following through on them
Experience improving an operational process on your own initiative, and the ability to tell which steps need a person and which can be automated
Willingness to do hands-on queue work as a regular part of the job, and to treat it as a source of information about what is breaking
Ability to participate in after-hours and weekend incident coverage on a rotating basis
Preferred qualifications
Experience joining an incident response function early and helping write runbooks and review processes
Experience with incidents involving AI systems
Experience with the enforcement steps that follow an incident, such as account actions, law enforcement referrals, or user and customer notifications
Experience working with threat intelligence or security investigation teams during an incident
Experience with regulatory or external incident reporting and disclosure
Experience running an on-call rotation or support escalation queue, including setting and measuring response targets
Experience using AI tools to automate triage, summaries, or routine decisions, with checks on quality
Working knowledge of SQL or similar tools for analyzing incident and queue data
Experience designing and facilitating tabletop exercises
Genuine interest in AI safety and responsible technology development
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:
$245,000
—
$285,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is looking for a Communications Lead to own external communications for the Claude Platform, our API. The Claude Platform is how many of our customers put Claude to work, and this role shapes how that work is understood beyond Anthropic: from flagship product launches to the steady cadence of capability releases and developer-facing news.
You'll sit on the Product Communications team and work day to day with the Platform product and engineering teams, Product Marketing, and Developer Relations.
You should understand how developers and enterprises actually build with APIs and be comfortable engaging with developer tools and hold a clear point of view on what makes a product land.
Key responsibilities
Own communications for the Claude Platform end to end: capability releases, product updates, and the steady cadence of developer-facing news
Build and maintain strong relationships with the journalists, newsletter writers, and creators covering AI platforms, enterprise software, and the API economy
Prepare Platform leaders to be effective spokespeople for press, podcasts, panels, and the smaller moments in between
Partner with Product and Engineering to align external narratives with how these products are sold and supported, and surface customer feedback back to the teams who can act on it
Work across press, social, owned, and community channels, with the judgment to know which one carries a given moment and when to coordinate more than one at once
Minimum qualifications
Experience in communications, PR, or product marketing, including meaningful time on platform, API, developer, or enterprise products
An understanding of both developer culture and enterprise buying, and the judgment to read timing and tone when the conversation around AI gets noisy
Strong instincts for which product moments deserve the spotlight and which don't, and genuine curiosity about what makes a launch land
A demonstrated ability to operate with high agency and low ego, with a bias to action
Preferred qualifications
8-10 years of experience in communications, PR, or product marketing
Communications experience at a developer platform, API-first, or enterprise software company
Existing relationships with reporters and analysts covering AI platforms, enterprise tech, or the developer ecosystem
Experience managing communications for AI or ML products
Are very online: you follow the right channels, know what's moving through Hacker News and developer social chatter, and catch things early
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$265,000
—
$295,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We are investing in our owned social channels to grow share of voice and tell a clearer, more connected company story across LinkedIn, X, Instagram and YouTube. We need someone to take direct ownership of X and run it day to day, while also maintaining consistent social performance data analysis across all of our owned channels.
This is a hands-on social strategy role for someone who knows how to build an interesting, credible and active presence on X. You will also work with the Social Manager to turn channel and audience data into clear recommendations about what Harvey should create, publish, test, stop and scale. The goal is a steady feedback loop between how our audience behaves, what our content strategy is and how our creative gets made.
WHAT YOU'LL DO
OWN X STRATEGY AND EXECUTION
- Own Harvey's X strategy, programming and daily execution.
- Develop a distinctive voice and a clear role for Harvey on the platform.
- Create posts built for X, not LinkedIn content with the formatting changed.
- Find proactive, reactive and real-time opportunities for Harvey to join relevant conversations.
- Support product launches, research, events, partnerships, customer stories and company announcements on X.
- Build recurring formats and programming that give people a reason to come back.
- Write and edit copy that is clear, sharp and right for the platform.
- Monitor replies, mentions and relevant conversations.
- Work with the Social Content and Community Manager on engagement and response coverage.
- Support founder, executive and employee amplification where it makes sense.
- Use sound judgment in moments that carry brand, reputational or customer sensitivity.
- Track changes to X and adjust our approach as the platform evolves.
MANAGING CROSS-CHANNEL INSIGHTS AND OPTIMIZATION
- Work with Social Manager and Social Content and Community Manager to pull weekly and monthly performance analysis across X, LinkedIn, Instagram and YouTube.
- Collaborate with the social team to go beyond surface metrics and explain what actually drove performance.
- Identify patterns across format, topic, audience, timing, creative approach and distribution.
- Help turn findings into specific programming and creative recommendations.
- Work with third party analytics tools to track follower growth, reach, engagement, clicks, sentiment and other channel-specific signals.
- Analyze performance during major launches, events and campaigns utilizing third party analytics and channel analytics.
- Work with Content Operations on data accuracy, UTMs, reporting processes and dashboards.
- Bring audience and performance insight into quarterly strategy and planning.
PUT SOCIAL LISTENING AND COMPETITIVE INTELLIGENCE TO WORK
- Review owned and third party findings on legal AI conversations, share of voice and competitor activity.
- Separate meaningful signals from routine noise.
- Connect listening and competitive insights with channel performance data to build a fuller picture of what is working.
- Translate audience questions, competitor moves and emerging conversations into programming and creative recommendations.
- Write concise readouts for Social, Marketing and company leadership.
- Flag opportunities and risks early enough for the team to act on them.
SUPPORT THE BROADER SOCIAL TEAM
- Partner closely with the Social Manager on channel strategy, campaign planning and editorial priorities.
- Help translate company priorities into programming for each platform.
- Bring performance insight into the creative briefing process.
- Support social coverage during major events and launches.
- Collaborate with Content, Communications, Product Marketing, Customer Engagement and Harvey Creative Studio.
- Help build repeatable processes without adding unnecessary approval layers.
- Do the work yourself while also improving how the team makes decisions.
WHAT YOU HAVE
- 5+ years of experience in social strategy, social media, audience development, digital publishing or a related field.
- Deep knowledge of X and a track record of growing or reshaping a meaningful brand presence there.
- Strong editorial judgment and the ability to write sharp copy that fits the platform.
- Experience running an active social channel in a fast-moving environment.
- Strong analytical skills and comfort working with social performance data.
- The ability to explain why content performed the way it did, not just report the numbers.
- Experience using social listening, competitive analysis and share-of-voice data to inform strategy.
- A habit of turning data into specific creative and programming recommendations.
- Experience designing social tests and evaluating the results honestly.
- Familiarity with social publishing, analytics and listening platforms.
- Good instincts for real-time content, reputational risk and sensitive moments.
- Experience presenting insights to senior marketing or company leaders.
- Excellent communication skills and a collaborative way of working.
- Comfort making good calls with incomplete information and shifting priorities.
- Genuine interest in legal technology, AI and how professional work is changing.
You do not need to be a data scientist. We care about analytical fluency, curiosity and the ability to tell a clear story with data, combined with strong social instincts.
Helpful but not required: Experience in B2B technology, media, professional services, legal or another complex industry.
COMPENSATION
$112,000 - $154,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LT1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
We are investing in our owned social channels to grow share of voice and tell a clearer, more connected company story across LinkedIn, X, Instagram and YouTube. We need someone to take direct ownership of X and run it day to day, while also maintaining consistent social performance data analysis across all of our owned channels.
This is a hands-on social strategy role for someone who knows how to build an interesting, credible and active presence on X. You will also work with the Social Manager to turn channel and audience data into clear recommendations about what Harvey should create, publish, test, stop and scale. The goal is a steady feedback loop between how our audience behaves, what our content strategy is and how our creative gets made.
WHAT YOU'LL DO
OWN X STRATEGY AND EXECUTION
- Own Harvey's X strategy, programming and daily execution.
- Develop a distinctive voice and a clear role for Harvey on the platform.
- Create posts built for X, not LinkedIn content with the formatting changed.
- Find proactive, reactive and real-time opportunities for Harvey to join relevant conversations.
- Support product launches, research, events, partnerships, customer stories and company announcements on X.
- Build recurring formats and programming that give people a reason to come back.
- Write and edit copy that is clear, sharp and right for the platform.
- Monitor replies, mentions and relevant conversations.
- Work with the Social Content and Community Manager on engagement and response coverage.
- Support founder, executive and employee amplification where it makes sense.
- Use sound judgment in moments that carry brand, reputational or customer sensitivity.
- Track changes to X and adjust our approach as the platform evolves.
MANAGING CROSS-CHANNEL INSIGHTS AND OPTIMIZATION
- Work with Social Manager and Social Content and Community Manager to pull weekly and monthly performance analysis across X, LinkedIn, Instagram and YouTube.
- Collaborate with the social team to go beyond surface metrics and explain what actually drove performance.
- Identify patterns across format, topic, audience, timing, creative approach and distribution.
- Help turn findings into specific programming and creative recommendations.
- Work with third party analytics tools to track follower growth, reach, engagement, clicks, sentiment and other channel-specific signals.
- Analyze performance during major launches, events and campaigns utilizing third party analytics and channel analytics.
- Work with Content Operations on data accuracy, UTMs, reporting processes and dashboards.
- Bring audience and performance insight into quarterly strategy and planning.
PUT SOCIAL LISTENING AND COMPETITIVE INTELLIGENCE TO WORK
- Review owned and third party findings on legal AI conversations, share of voice and competitor activity.
- Separate meaningful signals from routine noise.
- Connect listening and competitive insights with channel performance data to build a fuller picture of what is working.
- Translate audience questions, competitor moves and emerging conversations into programming and creative recommendations.
- Write concise readouts for Social, Marketing and company leadership.
- Flag opportunities and risks early enough for the team to act on them.
SUPPORT THE BROADER SOCIAL TEAM
- Partner closely with the Social Manager on channel strategy, campaign planning and editorial priorities.
- Help translate company priorities into programming for each platform.
- Bring performance insight into the creative briefing process.
- Support social coverage during major events and launches.
- Collaborate with Content, Communications, Product Marketing, Customer Engagement and Harvey Creative Studio.
- Help build repeatable processes without adding unnecessary approval layers.
- Do the work yourself while also improving how the team makes decisions.
WHAT YOU HAVE
- 5+ years of experience in social strategy, social media, audience development, digital publishing or a related field.
- Deep knowledge of X and a track record of growing or reshaping a meaningful brand presence there.
- Strong editorial judgment and the ability to write sharp copy that fits the platform.
- Experience running an active social channel in a fast-moving environment.
- Strong analytical skills and comfort working with social performance data.
- The ability to explain why content performed the way it did, not just report the numbers.
- Experience using social listening, competitive analysis and share-of-voice data to inform strategy.
- A habit of turning data into specific creative and programming recommendations.
- Experience designing social tests and evaluating the results honestly.
- Familiarity with social publishing, analytics and listening platforms.
- Good instincts for real-time content, reputational risk and sensitive moments.
- Experience presenting insights to senior marketing or company leaders.
- Excellent communication skills and a collaborative way of working.
- Comfort making good calls with incomplete information and shifting priorities.
- Genuine interest in legal technology, AI and how professional work is changing.
You do not need to be a data scientist. We care about analytical fluency, curiosity and the ability to tell a clear story with data, combined with strong social instincts.
Helpful but not required: Experience in B2B technology, media, professional services, legal or another complex industry.
COMPENSATION
$112,000 - $154,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LT1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time.
Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build.
As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security.
Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do.
WHAT YOU'LL DO
- Incorporate secure design principles into our cloud architecture.
- Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default
- Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team
- Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC)
- Partner with Engineering and Product teams to:
- Manage risks and vulnerabilities in our Cloud environment.
- Translate security requirements into concrete engineering investments
- Define infrastructure security architecture and multi-quarter roadmaps
- Mentor and develop other security engineers on the team, raising the overall technical bar
WHAT YOU HAVE
- 8+ years experience in Security Engineering and/or Software Engineering
- Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams.
- Strong fundamentals in networking, operating systems, and cryptographic protocols
- In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors
- Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments
- Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud)
- Track record of driving cross-functional security initiatives and influencing engineering decisions across teams
- Experience setting security standards and best practices at an organizational scale
- (No experience with generative AI or legal required)
BONUS
- Familiarity with large-scale Infrastructure as Code (IaC) deployments
- Familiarity with Kubernetes Admission Controllers and policy enforcement
- Exposure to multi-cloud environments
COMPENSATION RANGE
$231,000 - $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-NP1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Some of the world's largest companies and their law firms use Harvey’s AI capabilities to deliver world-class client services at unprecedented scale and efficiency. Harvey allows high-performing professionals to gain deep domain knowledge faster, understand the big picture, and tackle more complex challenges in less time.
Security is at the heart of what we do. Our customers trust us with their most sensitive data, and we take that responsibility seriously. As part of our team, you’ll help us maintain a secure, trustworthy, and compliant platform—an essential foundation for everything we build.
As a Staff Infrastructure Security Engineer, you’ll set the technical direction for secure-by-default infrastructure security across Harvey’s platform, establishing the patterns and standards the broader engineering organization builds on. This includes designing and implementing processes and technologies for least privilege, isolating different components, managing attack surface, and implementing layers of tenant isolation on our multi-tenant SaaS offering. You’ll also create frameworks and repeatable patterns that enable our research and engineering teams to move quickly and independently—without sacrificing security.
Our security program at Harvey is growing fast, so this is an incredible opportunity to get in at the beginning and shape the future of what Security at Harvey looks like. This team approaches security with an engineering-first mindset with our customers front and center to everything we do.
WHAT YOU'LL DO
- Incorporate secure design principles into our cloud architecture.
- Establish reusable security patterns, standards, and guardrails that enable product and platform teams to build securely by default
- Develop isolation mechanisms (e.g. sandboxing) in collaboration with our product engineering team
- Review security-critical configuration changes and act as Codeowner for security-critical parts of our cloud configurations (everything is IaC)
- Partner with Engineering and Product teams to:
- Manage risks and vulnerabilities in our Cloud environment.
- Translate security requirements into concrete engineering investments
- Define infrastructure security architecture and multi-quarter roadmaps
- Mentor and develop other security engineers on the team, raising the overall technical bar
WHAT YOU HAVE
- 8+ years experience in Security Engineering and/or Software Engineering
- Demonstrated experience writing high-quality software, building production-grade infrastructure and raising the security bar across engineering teams.
- Strong fundamentals in networking, operating systems, and cryptographic protocols
- In-depth knowledge of Kubernetes, common misconfigurations, and privilege escalation vectors
- Demonstrated ability to find weaknesses (e.g. privilege escalation) in real-world cloud environments
- Experience applying security best practices in cloud environments (AWS, Azure, or Google Cloud)
- Track record of driving cross-functional security initiatives and influencing engineering decisions across teams
- Experience setting security standards and best practices at an organizational scale
- (No experience with generative AI or legal required)
BONUS
- Familiarity with large-scale Infrastructure as Code (IaC) deployments
- Familiarity with Kubernetes Admission Controllers and policy enforcement
- Exposure to multi-cloud environments
COMPENSATION RANGE
$231,000 - $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-NP1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Senior Edge Signal Processing Engineer to join the Sensor Intelligence Group (SIG), a cross-functional team collaborating across WHOOP Labs, Firmware, and Machine Learning and Research. This role is central to developing next-generation processing to enable foundational health features at WHOOP. You’ll develop the signal processing underpinning WHOOP physiological insights and coaching, ultimately delivering meaningful and personalized feedback to millions of members.
Responsibilities
- Lead the design and development of real-time voice signal processing
- Own the full development lifecycle, from prototyping and validation through productization and continuous improvement
- Evaluate commercial solutions, develop prototypes and demos, and inform build/buy decisions
- Collaborate cross-functionally with hardware, software, and product teams to bring algorithms to WHOOP members
- Mentor junior engineers and contribute to a high-performance, research-to-production culture
Qualifications
- B.S. in Electrical Engineering or related field, M.S. or PhD preferred
- 5+ years of experience developing and deploying real-time voice signal processing chains
- Strong foundation in signal processing fundamentals (e.g., filtering, spectral analysis, analysis/synthesis filterbanks, adaptive filtering)
- Demonstrated experience integrating real-time voice processing blocks (e.g echo cancellation, noise reduction) into end-to-end signal processing pipelines
- Ability to implement and optimize signal-processing algorithms for constrained compute, memory, latency, and power budgets
- Proficiency in Python or MATLAB for algorithm/system prototyping and with C/C++ for deployment to product platforms
- Excellent communication skills, including the ability to present technical results to a diverse audience
- Demonstrated creativity, adaptability, and a strong interest in translating prototypes into products
Additional Desired Experience
- Experience deploying signal processing algorithms to battery-powered consumer product platforms
- Experience integrating and optimizing third-party libraries, frameworks, or algorithm IP
- Familiarity with embedded firmware, Bluetooth, audio codecs (e.g. Opus, LC3) and RTOS environments
- Experience with fixed-point implementation, quantization, or other numerical optimization techniques for computed-constrained embedded signal processing
Location: New York; United States; United Kingdom; London
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
ElevenLabs is building its first private equity and growth investor partner channel, and you’ll be the first person to own it. You’ll embed ElevenLabs in funds’ value-creation programs and drive AI adoption across their portfolio companies, so we sell portfolio-wide through the sponsor instead of one company at a time.
You’ll work with Operating Partners, Value Creation teams and portfolio executives on the fund side, and with our Sales, Solutions Engineering and Customer Success teams internally. You’ll report to the Global Head of BD & Partnerships and own the pipeline and ARR sourced through PE partnerships.
This role suits someone who has worked inside a PE or growth-equity firm and now wants to build the channel from the technology side.
Responsibilities
- Launch the ElevenLabs PE & Growth Investor Partner Program and recruit the first 8–10 partner firms
- Build executive relationships with Operating Partners, Value Creation leaders and investment professionals
- Structure partnership agreements, joint GTM plans and commercial models
- Identify priority portfolio companies and build joint account plans with PE operating teams
- Work with AEs, FDEs, Customer Success and Product to take portfolio deployments from introduction to production
- Own PE-sourced pipeline and ARR, and expand single deployments into portfolio-wide programs
- Build repeatable playbooks and represent ElevenLabs at PE conferences and operating-partner forums
Requirements
- Experience inside a PE or growth-equity firm as an investor or operator (investing, value creation or portfolio operations)
- Go-to-market or partnerships experience at a technology company after that fund-side work
- 6+ years of experience across private equity and enterprise AI, cloud or software
- Strong relationships with Operating Partners and Value Creation teams
- A track record of turning PE relationships into measurable pipeline and revenue
- Executive presence with Managing Partners, Operating Partners and portfolio CEOs
- Comfortable carrying a number and building a motion from zero
Bonus
- Built a PE or growth-investor partner program at a high-growth or large tech company
- Experience selling AI or automation into support, contact center or sales use cases
- Hands-on use of voice or chat agents, including ElevenLabs
Location
This role is remote-first, with NYC or London preferred.
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.
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: London
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey is looking for a Compensation Business Partner to ensure our compensation philosophy, principles, and practices extend to all of our markets outside of the US, initially focused on EMEA and APAC.
This will be our first Compensation Business Partner dedicated to our international business sitting within the EMEA region, and an opportunity to help shape how Harvey approaches compensation as we continue to scale globally. You’ll partner closely with our People Business Partners, Recruiting team, business leaders, and the broader Compensation team to ensure our programs remain competitive, thoughtful, and scalable across markets.
We’re looking for someone who combines deep compensation expertise with strong business judgment. You should be equally comfortable analyzing market data, advising a recruiter on a complex offer, partnering with a PBP and developing a point of view on how Harvey should approach compensation in a new or rapidly evolving market. This is a highly collaborative role that will have a great degree of partnership across many functions.
WHAT YOU'LL DO
- Serve as the primary Compensation Business Partner for EMEA and APAC, developing deep context on our teams, talent markets, and hiring needs across the regions.
- Partner closely with People Business Partners and business leaders on compensation decisions including new hires, promotions, internal mobility, and other complex compensation questions.
- Build a particularly strong partnership with Recruiting, advising on offers, market competitiveness, and candidate-specific situations.
- Help evolve Harvey's international compensation strategy as we scale, including our approach to geographic differentiation, market positioning, salary structures, and equity.
- Bring deep equity expertise and help translate Harvey's equity philosophy across markets where candidate expectations and familiarity with US-style equity compensation can vary significantly.
- Research emerging compensation practices and talent trends, particularly across the rapidly evolving AI market, and turn external data into clear recommendations for Harvey.
- Conduct market analyses using compensation survey data and other sources, while applying judgment.
- Partner with the broader Compensation team on compensation cycles, benchmarking, band development, and company-wide programs, ensuring international considerations are represented from the beginning.
- Identify where our US practices translate internationally—and where they don't—and proactively recommend changes as Harvey enters and scales in new markets.
- Help build the infrastructure, principles, and enablement that will allow Harvey's international compensation approach to scale.
WHAT YOU HAVE
- 5-7+ years of experience in compensation
- Experience supporting international compensation across EMEA and/or APAC.
- Experience working for a US-headquartered company, with a strong understanding of how global compensation programs are designed and adapted for international markets.
- Meaningful experience with equity compensation, including the ability to explain and advise on equity in markets with different norms and expectations.
- Experience in a high-growth startup or scale-up environment; you are comfortable building while the company and market are changing around you.
- Strong knowledge of compensation fundamentals including market benchmarking, salary structures, job leveling, offers, promotions, retention, and pay decisions.
- Exceptional business partnership skills. You can build trust with leaders, PBPs, and recruiters while being willing to challenge assumptions.
- Strong analytical skills paired with excellent judgment—you know when the data is telling you something and when it requires additional context.
- Intellectual curiosity and a genuine appetite to become an expert on the AI talent market, including proactively researching competitors, compensation trends, and emerging practices.
- Comfortable operating with ambiguity and building new approaches rather than relying on an established playbook.
- Ability to communicate complicated compensation concepts simply and credibly to audiences with very different levels of compensation expertise.
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-LE1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: 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:
We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value.
Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you.
What You'll Be Doing:
Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more.
Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.
Conduct market and customer research to understand pain points, competition and opportunities.
Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
What Makes You a Great Fit:
4+ years of relevant experience (product marketing, solutions marketing, product management)
Experience with marketing and selling to a technical audience
A passion for open source, cloud native, and infrastructure technologies
Proven ability to take on complex projects and efficiently drive them from start to finish
Ability to clearly articulate the value of technical products to customers and sellers alike
Experience leading product or feature launches autonomously as well as part of a team
Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows
Comfort working with a variety of internal and external stakeholders in complicated processes
Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
Exceptional writing and communication skills
A high “say-do” ratio in executing and delivering impact
Compensation & Rewards:
In the US, the base compensation range for this role is $162,275 - $194,730. 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: United Kingdom (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:
We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value.
Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you.
What You'll Be Doing:
Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more.
Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.
Conduct market and customer research to understand pain points, competition and opportunities.
Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
What Makes You a Great Fit:
4+ years of relevant experience (product marketing, solutions marketing, product management)
Experience with marketing and selling to a technical audience
A passion for open source, cloud native, and infrastructure technologies
Proven ability to take on complex projects and efficiently drive them from start to finish
Ability to clearly articulate the value of technical products to customers and sellers alike
Experience leading product or feature launches autonomously as well as part of a team
Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows
Comfort working with a variety of internal and external stakeholders in complicated processes
Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
Exceptional writing and communication skills
A high “say-do” ratio in executing and delivering impact
Compensation & Rewards:
In the UK, the base compensation range for this role is GBP 91,755 - GBP 110,106. 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: Sweden (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:
We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value.
Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you.
What You'll Be Doing:
Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more.
Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.
Conduct market and customer research to understand pain points, competition and opportunities.
Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
What Makes You a Great Fit:
4+ years of relevant experience (product marketing, solutions marketing, product management)
Experience with marketing and selling to a technical audience
A passion for open source, cloud native, and infrastructure technologies
Proven ability to take on complex projects and efficiently drive them from start to finish
Ability to clearly articulate the value of technical products to customers and sellers alike
Experience leading product or feature launches autonomously as well as part of a team
Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows
Comfort working with a variety of internal and external stakeholders in complicated processes
Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
Exceptional writing and communication skills
A high “say-do” ratio in executing and delivering impact
Compensation & Rewards:
In Sweden, the base compensation range for this role is SEK 775,444 - SEK 930,533. 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: Spain (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:
We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value.
Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you.
What You'll Be Doing:
Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more.
Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.
Conduct market and customer research to understand pain points, competition and opportunities.
Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
What Makes You a Great Fit:
4+ years of relevant experience (product marketing, solutions marketing, product management)
Experience with marketing and selling to a technical audience
A passion for open source, cloud native, and infrastructure technologies
Proven ability to take on complex projects and efficiently drive them from start to finish
Ability to clearly articulate the value of technical products to customers and sellers alike
Experience leading product or feature launches autonomously as well as part of a team
Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows
Comfort working with a variety of internal and external stakeholders in complicated processes
Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
Exceptional writing and communication skills
A high “say-do” ratio in executing and delivering impact
Compensation & Rewards:
In Spain, the base compensation range for this role is EUR 82,988 - EUR 99,586. 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: Republic of Ireland (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:
We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value.
Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you.
What You'll Be Doing:
Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more.
Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.
Conduct market and customer research to understand pain points, competition and opportunities.
Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
What Makes You a Great Fit:
4+ years of relevant experience (product marketing, solutions marketing, product management)
Experience with marketing and selling to a technical audience
A passion for open source, cloud native, and infrastructure technologies
Proven ability to take on complex projects and efficiently drive them from start to finish
Ability to clearly articulate the value of technical products to customers and sellers alike
Experience leading product or feature launches autonomously as well as part of a team
Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows
Comfort working with a variety of internal and external stakeholders in complicated processes
Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
Exceptional writing and communication skills
A high “say-do” ratio in executing and delivering impact
Compensation & Rewards:
In Ireland, the base compensation range for this role is EUR 104,000 - EUR 124,800. 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: Germany (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:
We’re looking for an enthusiastic, tech-forward product marketer to grow our Observability products by boldly positioning them and running campaigns to attract, convert and retain customers. As a Senior Product Marketing Manager, you will be in charge of the messaging and positioning for a broad product area. Then you’ll work closely with product managers and the marketing team to deliver campaigns, content, events, and training that help buyers buy (and sellers sell) our value.
Product Marketing lives within the Product org rather than the Marketing org at Grafana Labs, and we think differently about the job. Rather than purely executing launches or campaigns, we want PMMs to teach product managers and engineers in our org how to think about growth and demand, and to codify product marketing knowledge into AI-forward tools and processes that anyone in the organization can use. For example, we all contribute product information to a shared knowledge base, which we use to generate enablement materials and decks.
Grafana Labs is a fast-paced and growing organization. As such, this role requires strategic skills, an interest in teaching, and hands-on tactical execution (blogs, webinar outlines, video scripts, etc). Our team is full of people who crave impact and independence - if you are seeking a role with narrow scope where you run a defined playbook, this is not the job for you.
What You'll Be Doing:
Actively partner with and teach product managers to define product value, messaging, and go-to-market strategy, from competitive positioning to sales enablement collateral.
Partner with product management, engineering and various go-to-market functions to create materials that help customers evaluate and adopt our products: reference architectures, implementation guides, detailed product information and more.
Own customer lifecycle campaigns (competitive positioning, retention, upsell/cross-sell) to strategically shape marketing programs and drive growth across the entire customer journey.
Conduct market and customer research to understand pain points, competition and opportunities.
Teach go-to-market and sales teams our products’ capabilities and the value they provide, deliver training and enablement, ensure customer facing teams are able to effectively engage with customers, partners, and prospects.
What Makes You a Great Fit:
4+ years of relevant experience (product marketing, solutions marketing, product management)
Experience with marketing and selling to a technical audience
A passion for open source, cloud native, and infrastructure technologies
Proven ability to take on complex projects and efficiently drive them from start to finish
Ability to clearly articulate the value of technical products to customers and sellers alike
Experience leading product or feature launches autonomously as well as part of a team
Experience working with AI tools like ChatGPT and Claude to automate messaging and workflows
Comfort working with a variety of internal and external stakeholders in complicated processes
Strong product and technical curiosity that translate to clear packaging, positioning, and messaging
Demonstrated quantitative analytical skills for analyzing campaign performance, evaluating lifecycle metrics, and making data-driven recommendations.
Exceptional writing and communication skills
A high “say-do” ratio in executing and delivering impact
Compensation & Rewards:
In Germany, the base compensation range for this role is EUR 97,034 - EUR 116,441. 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: Toronto; Ottawa; Montreal
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
WHY THIS ROLE?
In this role, you will manage the team that owns the Cohere inference APIs and SDKs, as well as the Cohere Dashboard, where customers can access our models, manage teams, and audit billing. You will collaborate with internal partners to craft a delightful, intuitive, and unified experience across everything the Cohere APIs and Cohere Dashboard have to offer. As a hands-on leader, you will shift seamlessly between roles as mentor, strategist, and technologist to guide the team toward shared success.
Join our team of builders who are shaping the future of large language models!
AS AN ENGINEERING MANAGER OF THE COHERE APIS AND DEVEX TEAM, YOU WILL:
- Manage, mentor, and grow a talented and enthusiastic team of backend and full-stack software engineers
- Participate in model releases and develop new API capabilities
- Work closely with Modelling and Model Serving teams
- Collaborate with UX designers to ensure customers have an easy and delightful time managing teams, API keys, billing and configurations.
- Oversee and contribute to open source projects
YOU MAY BE A GOOD FIT IF:
- You have experience managing engineering teams and a proven track record of delivering high-quality software
- You have experience shipping products with a large number of stakeholders
- You’re comfortable with the front and back end of the stack, and have previously worked with Go, Next.js, TypeScript, and React
- You are passionate about recruiting and growing people and teams
- You are passionate about building rapport with your team and you prioritize 1:1s
- You have excellent communication skills and believe that documentation is a great way to get feedback and discuss technical implementations and designs
- You have the ability to take complex needs and goals and develop easy to understand explanations for all audiences
- You’re excited about AI and have the motivation to scale a company
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
San Francisco, CA
Boston, MA; San Francisco, CA | Seattle, WA | New York City, NY | Washington, DC
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San Francisco, CA | New York City, NY | Seattle, WA
San Francisco
New York
ГибридSan Francisco
ГибридNew York
Офис
senior
Boston, MA
New York; United States; United Kingdom; London
ГибридLondon
seniorUnited States (Remote)
seniorUnited Kingdom (Remote)
seniorSweden (Remote)
seniorSpain (Remote)
seniorRepublic of Ireland (Remote)
seniorGermany (Remote)
ГибридToronto; Ottawa; Montreal; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities