Location: San Francisco, CA; New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE ROLE
LangChain is scaling for our next phase of growth, and we are looking for our founding People Partners who are business operators at heart. In this role, you aren’t just "supporting" the team—you are a strategic co-pilot to our EPD, GTM, and Ops leaders. You will proactively anticipate organizational friction, design people solutions that drive business results, and leverage an AI-first mindset to eliminate administrative toil.
We are looking for a resilient builder who moves at the speed of an AI startup. You will be deeply embedded in the business, using data to diagnose problems before they arise and influencing senior leadership to make the right calls on org design, talent density, and leadership.
LOCATION/CITY:
San Francisco, CA; New York, NY
RESPONSIBILITIES:
- Business-First Partnership: Embed deeply with Engineering, Product, GTM, and Ops to understand their roadmaps. You drive business outcomes—velocity, quality, and retention—through intentional people strategies rather than standard HR playbooks.
- Proactive Organizational Architecture: Act as an early warning system. Use data and organizational pulse to anticipate burnout or friction points. Partner with leaders to architect high-performance team structures, headcount forecasting, and foundational builds.
- AI-First Operations: Ruthlessly automate the routine. Leverage AI tools and modern tech stacks to streamline people processes, ensuring your time is spent on high-leverage coaching and strategy rather than manual administration.
- Strategic Coaching & Influence: Serve as a truth-teller to leaders, from first-time managers to industry veterans. Provide high-signal coaching on performance, leadership, and team dynamics, pushing back when necessary to maintain our high bar.
- Data-Driven Insights: Own the People Dashboard for your business units. Build clear, concise one-pagers based on metrics—from attrition trends to comp parity—to influence leadership decisions.
- Program Implementation & Stewardship: Tailor the rollout of core programs (compensation cycles, leveling, performance frameworks) to the specific needs of your units. Manage sensitive employee relations with empathy, legal rigor, and a focus on excellence.
- XFN Collaboration: Work seamlessly across the People team, flexing between building new programs and partnering with the hiring machine to ensure united solutions for the business.
REQUIREMENTS:
- Experience: 8+ years as an HRBP or People Partner in a high-growth, fast-paced tech environment.
- Business & AI Fluency: Technical and AI-savvy. You speak the language of engineers and researchers and are an early adopter of AI tools to up-level your own productivity.
- Strategic Influence: A truth-teller with the confidence to push back on senior leaders and the EQ to do it effectively.
- Data-Driven: You don't rely just on gut feel. You use data to tell stories, identify trends, and back up your recommendations.
- Precision Communication: A master of high-stakes communication. You can draft a Slack message, a 1-pager, or a board slide that is clear, concise, and persuasive.
- Resilient Hustle: You thrive in the grey of a startup and manage multiple high-priority work streams without losing focus. You identify organizational gaps and build solutions without waiting for a ticket.
COMPENSATION
- Annual salary range: $160,000 - $230,000
Compensation Philosophy:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
About the role 💭
The Radar team builds our real-time identity intelligence layer that helps developers detect risk, prevent threats, and protect their apps. Radar ingests high-volume authentication and identity events, enriches them with signals, and powers workflows that customers use to take action: enforcing challenges, blocking suspicious behavior, or triggering reviews.
Our mission is to give developers a turnkey platform for identity security and risk evaluation. The hard and interesting part for engineers is detection quality: catching real threats with high precision and very few false positives, in real time, against adversaries who are actively trying to get around us.
Engineers on Radar care deeply about correctness, performance, observability, detection quality, and the developer experience. We measure our work by real impact, often in the millions of dollars of fraud and abuse we save customers.
The engineers who thrive here are fascinated by data. Radar serves some of the fastest-growing AI companies in the world, which gives us one of the richest fraud-and-abuse datasets in the identity space.
Responsibilities ✔️
- Design and build performant, resilient systems for real-time identity event processing
- Craft intuitive APIs and developer workflows that make Radar easy to adopt
- Dig into large-scale authentication data to find fraud and abuse patterns, then design, test, and measure the signals and models that detect them
- Develop a deep understanding of the identity-security landscape and shape Radar’s product direction
- Work directly with customers, including some of the biggest names in AI, to understand their fraud problems, prototype solutions for them, and become a trusted expert they rely on
- Maintain a strong focus on reliability, security, correctness, and observability across the stack
- Collaborate with other product teams, solutions engineering, and our go-to-market team
- Work directly with leadership on greenfield ideas
- Help recruit and assess future engineering team members
Qualifications 🌟
- 5+ years of industry software development experience
- Comfort working with data at scale - querying, analyzing, and drawing sound conclusions from large datasets
- Background in large-scale systems, real-time pipelines, or event-driven architectures
- Intellectually curious and data-driven, with a scientific mindset - you like forming hypotheses, testing them against data, and measuring the impact of what you build
- A growth mindset, high emotional intelligence, and strong communication skills
- Bonus: Experience with machine learning, anomaly detection, or fraud and abuse detection
- Bonus: Experience in B2B SaaS, developer tools, or a related industry
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: San Francisco, CA; San Francisco, CA | 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
We are looking for a Technical Cyber Threat Investigator to join our Threat Intelligence team. In this role, you will be responsible for detecting, investigating, and disrupting the misuse of Anthropic's AI systems for malicious cyber operations.
You will work at the intersection of AI safety and cybersecurity, conducting thorough investigations into potential misuse cases, developing novel detection techniques, and building robust defenses against emerging cyber threats in the rapidly evolving landscape of AI-enabled risks. Your work will directly protect the broader ecosystem from sophisticated threat actors who seek to leverage AI technology for harm.
Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.
Responsibilities
Detect and investigate attempts to misuse Anthropic's AI systems for cyber operations, including influence operations, malware development, social engineering, and other adversarial activities
Develop abuse signals and tracking strategies to proactively detect sophisticated threat actors across our platform
Create actionable intelligence reports on new attack vectors, vulnerabilities, and threat actor TTPs targeting LLM systems
Conduct cross-platform threat analysis grounded in real threat actor behavior, using open-source research, dark web monitoring, and internal data
Utilize investigation findings to implement systematic improvements to our safety approach and mitigate harm at scale
Study trends internally and in the broader ecosystem to anticipate how AI systems could be misused, generating and publishing reports
Build and maintain relationships with external threat intelligence partners, information sharing communities, and government stakeholders
Work cross-functionally to build out our threat intelligence program, establishing processes, tools, and best practices
You may be a good fit if you
Have demonstrated proficiency in SQL and Python for data analysis and threat detection
Have experience with large language models and understanding of how AI technology could be misused for cyber threats
Have subject matter expertise in abusive user behavior detection, such as influence operations, coordinated inauthentic behavior, or cyber threat intelligence
Have experience tracking threat actors across surface, deep, and dark web environments
Can derive insights from large datasets to make key decisions and recommendations
Have experience with threat actor profiling and utilizing threat intelligence frameworks (MITRE ATT&CK, etc.)
Have strong project management skills and ability to build processes from the ground up
Possess excellent communication skills to collaborate with cross-functional teams and present to leadership
Strong candidates may also have
Experience working with government agencies or in regulated environments
Background in AI safety, machine learning security, or technology abuse investigation
Experience building and scaling threat detection systems or abuse monitoring programs
Active Top Secret security clearance
Deadline to apply
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$290,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote
The role
We’re
hiring a senior, hands-on Product Manager to join WooCommerce Payments and take ownership of a defined area within our payments products and partner integrations.
You’ll collaborate closely with the Head of Product, and work day-to-day with engineering, design, support, and partnerships. This role is deeply executional. You’ll spend much of your time in the work: in Linear writing and refining issues, triaging bugs and incidents, reviewing and shaping flows in Figma, creating lightweight prototypes, and writing briefs or PRDs when they’re needed.
Payments at WooCommerce run at a serious scale—billions in total payment volume—and the quality of this experience directly affects merchant revenue, shopper conversion, and the success of Woo’s commercial engine. This role sits right where reliability, trust, and execution matter most.
What you’ll work on
Own product direction and execution for a key part of the payments product area, with clear goals, priorities, and measurable outcomes.
Improve merchant and shopper experiences across onboarding, checkout, refunds and disputes, payouts, reporting, and overall reliability.
Raise the quality bar by reducing failures and friction, lowering support volume, and improving product ratings and merchant trust.
Use data, support signals, and merchant feedback to decide what to work on next, define success measures, and make tradeoffs explicit.
Work closely with priority payments partners (including Stripe and PayPal) to improve integrations, ship changes, manage dependencies, and resolve issues.
Keep stakeholders aligned through clear, direct writing and communication about progress, risks, and decisions.
What we’re looking for
7+ years in product roles, with senior IC experience owning complex problem spaces and influencing cross-functional teams through clarity of communication and precision of execution.
4+ years in payments or fintech, ideally on products operating at scale; experience with large or global launches is a plus.
Strong product judgment. You can make good calls in messy situations and don’t need perfect information to move forward.
Comfort working on critical, high-trust systems where reliability matters and small changes can have outsized impact.
Ability to work deeply with engineers and designers on complex problems, including technical constraints and tradeoffs.
Strong analytical habits and a practical approach to metrics, dashboards, and instrumentation.
Clear written and verbal communication in a distributed, async environment.
Familiarity with WooCommerce,
WordPress
, or open-source ecosystems is a plus.
Salary range: $170,000-$240,000 USD.
Please note that salary ranges are global, regardless of location, and we pay in local currency.
We are searching for high-caliber candidates with the skills and qualities to have a net positive for Automattic. Pay will reflect the potential contribution and the impact you can bring, which may, in some cases, go beyond the range stated.
We’re pleased to offer a straightforward, competitive base salary, providing financial clarity without complex variable components. This isn’t your typical work-from-home job: we are a fully-remote company with an open vacation policy. To see a full list of benefits by country, consult our
Benefits Page
. And check out these links to learn more about
How We Hire
and
What We Expect from Ourselves
.
#LI-Remote
About Automattic
Now in
our 20th year
, we’re the people behind
WordPress.com
,
WooCommerce
,
Beeper
,
Tumblr
,
Simplenote
,
Jetpack
,
Longreads
,
Day One
,
PocketCasts
, and more. We believe in making the web a better place.
We’re a distributed company with more than 1500 Automatticians in nearly every corner of the globe, speaking over a hundred different languages. Enriched by this diversity, we’re united by a singular mission: to democratize publishing, commerce, and messaging so anyone with a story can tell it, anyone with a product can sell it, and everyone can manage their communications from a single source. In short, we help maintain a balance in society, creating and continually refining powerful tools people can use to compete fairly—regardless of income, gender, politics, language, or where they live in the world.
We believe in Open Source
, and the vast majority of our work is available under the
GPL
. Automattic is a
Most Loved Company
, an Equal Opportunity employer, and
Disability Confident Committed
. (
Here’s what that might mean for you
.) If you need accommodations during the application or interview process, please
fill out this form
. We are committed to ensuring an accessible hiring process for all candidates. Learn more about our
Employee Resource Groups
.
You can track your application status and more at
MyGreenhouse
.
To learn about how we handle your data, please review our
Job Applicant & Candidate Privacy Notice
and our
Privacy Policy
.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. View the “Know Your Rights: Workplace Discrimination is Illegal” poster
here
. Automattic participates in the
E-Verify program
in certain locations, as required by law
.
Location: San Francisco; United States & Canada
Workplace: Remote
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
WorkOS is building the developer platform for enterprise readiness and Developer Relations is a core part of how we earn trust with developers and show up in the community.
We’re looking for an events-forward DevRel leader who thrives in the room: organizing meetups, building community, representing WorkOS publicly, and creating technical content that drives real engagement. This role is especially impactful in San Francisco, where so much of our developer ecosystem lives in-person.
RESPONSIBILITIES ✔️
- Own and scale WorkOS’s developer events strategy (meetups, panels, workshops, office events)
- Represent WorkOS as a public-facing technical voice (talks, demos, community conversations)
- Create high-signal technical content that supports events and developer education (guides, talks, demos)
- Build relationships with developer communities and influencers across the ecosystem
- Partner with GTM, Product, and Engineering to bring community feedback into our roadmap and messaging
- Support talent and pipeline generation by building communities where great candidates and customers gather
QUALIFICATIONS
- Proven experience in Developer Relations, developer advocacy, community, or a highly technical marketing role
- Strong technical foundation and credibility with developers (you can demo, build, and explain)
- Bias toward doing: you can run events end-to-end and create content that ships
- Excellent communicator and facilitator. Comfortable on stage and in small group conversations
- High agency and a builder mindset; you’re energized by experimentation
- Bonus: Experience in developer tools, identity/auth, or enterprise readiness topics
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Shanghai, China
About the Company:
Our client is a fast-growing tech start-up founded in 2018 that is revolutionizing the way travelers stay connected to the internet abroad. With a diverse team of over 500 professionals globally, they are helping millions of travelers stay connected across more than 180 destinations worldwide.
About the Role:
Own the end-to-end launch and scaling of our client in China: define and execute the go-to-market plan, build the initial local team (starting with 2 direct reports), establish compliant operations, leverage global functional teams (Product, Tech, Legal, Marketing, Finance, Ops) and external partners to reach sustainable growth.
This is an entrepreneurial role: you will be the face of our client in China and accountable for performance, execution quality, and building a long-term market presence using global resources.
This role is ideal for a strategic thinker and strong executor who is excited to build something from scratch and thrive in a fast-paced, entrepreneurial environment.
Key Responsibilities:
Market Entry and Growth
Define and continuously refine the China market-entry strategy (segmentation, positioning, channel mix, pricing, and launch phasing) to ensure scalability.
Own end-to-end GTM execution across acquisition, conversion, retention, and brand—ensuring local relevance (platforms, creators/KOLs, partnerships) and scalable growth.
Establish a performance cadence: weekly funnel reviews, experiment roadmap, and cross-functional execution with Global teams.
Develop and execute the China partnerships strategy across distribution, travel ecosystem players, device/retail channels, payments, affiliate/KOL networks, and B2B alliances.
Operations, Finance & Local Team
Define and set up local operating rhythm coordinating cross-functional resources globally to deliver locally.
Manage external China counsel to ensure compliance requirements that impact growth and operations, own the compliance roadmap, proactively track regulatory changes, and align actions with our client's global Legal team.
Manage external accountants (bookkeeping, tax filings, statutory reporting, payroll coordination) in close alignment with Global Finance, ensuring timely closes, accurate reporting, compliant local processes and controls.
Manage and hold accountable external partners, including marketing agencies and other third parties as required, ensuring clear objectives, performance tracking, and alignment with business goals.
Coach, and lead the initial two-person team, with a scaling plan as the business grows. Build a scalable operating model to support sustained growth
Product Localization
Build a plan and ensure execution to customize our product to the Chinese users, ensuring local adaptations and scalability (full UX adaptation, language, support flows, purchase journey, local trust signals).
Advise on China local tech stack and coordinate delivery with Global Tech.
Own the “China readiness” roadmap and ensure launch quality.
Business Ownership
Own the China P&L inputs (budgeting, forecasting, unit economics, and spend governance), ensure reporting and controls, and stay tightly aligned with Global Finance and executive leadership.
Report progress and trade-offs to the executive steering group; align global teams on priorities and timelines.
Requirements
Must-Haves
8–12+ years in high-growth tech / consumer internet, with 3–5+ years owning China go-to-market and building local operations from scratch.
Demonstrated success launching and scaling a digital product/brand in China, delivering measurable outcomes. Knowledge of China’s key digital platforms and growth levers (e.g., performance marketing, affiliate ecosystems, major distribution channels).
Strong partnership and negotiation capability; comfortable building ecosystems from scratch. Demonstrated success managing external partners, including negotiations, performance oversight, and alignment to business objectives.
Ability to translate regulatory/compliance requirements into practical roadmaps that protect growth, Experience managing budgets, forecasts, unit economics; able to partner closely with Global Finance and drive clean reporting and controls.
Strong ability to mobilize global resources and teams across time zones with clear prioritization and reliable follow-through.
Comfortable operating with ambiguity; hands-on builder mindset; can lead with a small team while mobilizing global functions Strategic thinker with a builder’s mindset, able to independently develop go-to-market plans and operations from the ground up.
Experience leading small, high-impact teams; can coach early hires and scale the org as growth increases.
Fluent Mandarin + professional English with strong stakeholder management and cross-cultural communication.
Nice-to-Haves
Prior experience working in travel, e-commerce, telco, or consumer tech industries.
Familiarity working with China-specific tech tooling and constraints (local hosting, analytics, platform integrations) and translating product needs into delivery plans with central Tech teams.
Prior experience working alongside local counsel/accounting firms on filings, tax, payroll, and statutory processes.
Experience localizing a global brand for China (positioning, pricing, trust-building, channel strategy).
MBA or consulting strategy background is a plus.
Location: Europe
Workplace: Remote
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.
As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.
Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.
ABOUT THE ROLE
As a Staff Research Engineer, you will join a team of 40+ Researchers and Engineers within the R&D Department working on cutting edge challenges in the Generative AI space, with a focus on avatar-centric interactive video diffusion models. Within the team you’ll have the opportunity to work on the applied side of our research efforts and directly impact our solutions that are used worldwide by over 60,000 businesses.
This is a unique opportunity for experts in machine learning and diffusion models to shape the future of AI video agents that can think, act, and react like humans. As part of our Interactive Avatars Team, you’ll work on cutting-edge research with a clear focus on turning breakthrough ideas into real product capabilities. You’ll join a team that moves fast, iterates often, and builds models that ship and make a meaningful impact. Example tasks and responsibilities include:
- Adapt diffusion models to incorporate diverse conditioning signals (e.g., audio, motion, interaction cues).
- Develop methods for streaming infinitely long video sequences at real-time rates.
- Work on the perceptual layer of interactive agents, including understanding user audio and generating appropriate contextual reactions.
- Improve lip-sync accuracy, motion realism, and overall visual quality in video diffusion models.
- Build robust evaluation frameworks and test suites to enable continuous quality tracking.
- Collaborate closely with our data team to define data needs and ensure high-quality datasets.
- Stay up to date with research in world models, interactive human/agent modeling, diffusion models, and related areas.
WHAT WE'RE LOOKING FOR:
- Comfortable owning and executing on the responsibilities listed above.
- Strong ML (e.g., diffusion, GANs, VAEs) and computer vision background with relevant industry experience.
- Hands-on experience with diffusion models (ideally avatar-centric or video-focused) and up to date with recent advances.
- Proficient in PyTorch and familiar with modern ML frameworks and tooling.
- Strong Python engineering skills, confident with git and version control, and a commitment to clean, maintainable research code.
- Outcome-driven, detail-oriented, and motivated to push state-of-the-art research into real product impact.
- Clear communicator of hypotheses, experiments, and results.
WHAT WILL MAKE YOU STAND OUT:
- Experience with audio-conditioned video diffusion models and deep knowledge of recent video DiT architectures.
- Demonstrated ability to own the full model development pipeline end to end, from data preparation to model design, training, and evaluation.
- A strong publication record in areas such as world models, interactive agents, or video diffusion models.
WHY JOIN US?
We’re living the golden age of AI. The next decade will yield the next iconic companies, and we dare to say we have what it takes to become one. Here’s why,
OUR CULTURE
At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here. https://www.notion.so/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2?pvs=21
SERVING 50,000+ CUSTOMERS (AND 50% OF THE FORTUNE 500)
We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Read stories from happy customers https://www.synthesia.io/case-studies and what 1,200+ people say on G2 https://www.g2.com/products/synthesia/reviews#reviews.
PROPRIETARY AI TECHNOLOGY
Since 2017, we’ve been pioneering advancements in Generative AI. Our AI technology is built in-house, by a team of world-class AI researchers and engineers. Learn more about our AI Research Lab and the team behind. https://www.synthesia.io/research
AI SAFETY, ETHICS AND SECURITY
AI safety, ethics, and security are fundamental to our mission. While the full scope of Artificial Intelligence's impact on our society is still unfolding, our position is clear: People first. Always. Learn more about our commitments to AI Ethics, Safety & Security https://www.synthesia.io/ethics.
THE GOOD STUFF...
- Competitive compensation (salary + stock options + bonus)
- Hybrid work setting with an office in London, Amsterdam, Zurich, Munich, or remote in Europe.
- 25 days of annual leave + public holidays
- Great company culture with the option to join regular planning and socials at our hubs
- + other benefits depending on your location
You can see more about Who we are and How we work here: https://www.synthesia.io/careers https://www.synthesia.io/careers
LI-MD1
Location: Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia; Karachi, Pakistan
Responsible for the safe and efficient operation of cranes and forklifts to lift, transport, load, and position equipment, supplies, and materials around the rig site. Ensures all lifting and material-handling activities are performed in compliance with safety regulations and operational procedures.
Key Responsibilities
Operate cranes and forklifts to move equipment, materials, and supplies safely within the rig site
Conduct
pre-operation inspections
of cranes, forklifts, and lifting accessories
Follow approved
lifting plans, load charts, and rigging signals
Ensure proper securing, lifting, and placement of loads
Maintain clear communication with riggers, signalmen, and supervisors
Comply with all
site safety rules, permits, and SOPs
Report equipment defects, unsafe conditions, or incidents immediately
Maintain basic operation logs and inspection records
Qualifications & Requirements
Valid
Crane Operator and/or Forklift Operator certification/license
Proven experience operating cranes and forklifts in industrial or rig environments
Knowledge of safe lifting practices and load limits
Ability to follow hand signals and radio communication
Physically fit to work in site and rig conditions
Experience
Minimum 5 years of relevant operating experience preferred
Al Jubail, Saudi Arabia; Riyadh, Saudi Arabia; Karachi, Pakistan
Location: Boston, MA; New York City, NY; San Francisco, CA; Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.
This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.
You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.
Responsibilities
Own the technical delivery plan for each engagement.
Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
Lead technical discovery.
Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
Run day-to-day engineering execution.
Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
Own product scoping for field engagements.
Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
Own the customer relationship throughout delivery.
Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
Own value measurement and ROI.
Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
Codify reusable delivery assets.
Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
Navigate enterprise and regulatory complexity.
Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
Manage scope and change.
Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
Run delivery operations.
Sprint ceremonies, milestone reviews, and progress reporting.
Travel to customer sites.
Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).
You May Be a Good Fit If You
Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
Thrive in ambiguity and bring structure where none exists.
Have a builder's mindset — you're here to create a function, not join one.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$275,000
—
$380,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco; Remote (United States); London; Belgrade; New York City
ABOUT THE ROLE
Perplexity is seeking a hands-on Software Engineer to build and evolve the software, automations, and systems that power our security operations. This role focuses on engineering security tools and internal AI-driven agents that improve detection and response, vulnerability management, and the overall security posture of our products and infrastructure.
RESPONSIBILITIES
- Design, build, and maintain software and automation that improves our detection and response program, including alert enrichment, triage workflows, and investigation tooling.
- Implement and enhance internal AI agents and security bots that assist with monitoring, investigations, reporting, and other security operation tasks.
- Develop and operate systems and workflows that support the bug bounty and vulnerability disclosure program, including intake, triage, prioritization, and remediation tracking.
- Partner with product and engineering teams to threat model new features and systems, propose mitigations, and add guardrails into designs and implementations.
- Contribute to secure-by-default libraries, services, and patterns that make it easy for teams to build secure features.
- Integrate security signals from cloud, endpoints, SaaS, and applications into cohesive pipelines and data models that support detection and analysis.
- Build automation to reduce manual work in incident response, containment, and remediation.
- Collaborate with security engineers and other software engineers to review designs and code, and to continuously improve our security tooling and platforms.
QUALIFICATIONS
- 4+ years of experience as a software engineer with significant time spent building security-related tools, platforms, or automations, or in a security engineering role with strong software development responsibilities.
- Proficiency in at least one major programming language (such as Python, Go, or TypeScript) and experience building production services, CLIs, or internal tools.
- Experience integrating with security-relevant systems such as logging pipelines, SIEMs, EDR, cloud APIs, or identity platforms.
- Practical experience with threat modeling, secure design, or application security reviews for services or features.
- Experience operating or contributing to bug bounty or vulnerability management programs is a plus.
- Familiarity with cloud infrastructure (AWS preferred) and modern SaaS environments.
- Ability to work closely with cross-functional teams, own projects end-to-end, and ship pragmatic, high-impact improvements.
- Bonus: Experience designing or improving AI-powered agents or automation used for security operations.
Location: Foster City, CA
Workplace: Hybrid
Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation.
ABOUT THE ROLE
Replit spreads through companies differently than it does through individuals. One person builds an app, colleagues start using it, a team forms, an admin rolls Replit out more widely, and eventually Sales gets involved. You'll be the data scientist for Replit's enterprise business, covering both the product and the go-to-market motion: how Replit spreads inside organizations, what keeps teams engaged after rollout, which features and signals drive expansion, and how all of that becomes pipeline, revenue, and a reliable forecast.
Experimentation is hard here. There are far fewer accounts than users, people within an organization influence each other, and admins control what their teams see. You'll figure out how to learn quickly and rigorously anyway. You'll work with Enterprise Product, Engineering, Sales, Customer Success, RevOps, and Finance, and your work succeeds when it changes a product, GTM, or investment decision.
YOU WILL:
- Define how we measure the enterprise business end to end: account-level activation, breadth (share of seats active), depth (apps built, deployed, and shared), collaboration, consumption, and net revenue retention
- Understand virality inside organizations: how Replit spreads from a first builder to teams through app sharing, invites, and viewers who become builders; quantify within-account network effects and find the levers that accelerate them
- Explain post-engagement churn: why seats and accounts that engaged at rollout go dormant, separate seat-level decay from account-level risk, and turn it into account health models that give the product and Customer Success early warning and a clear next action
- Identify the product behaviors and features that precede seat expansion and plan upgrades, and use them to build product-qualified account (PQA) models that route bottoms-up usage to Sales at the right moment
- Measure adoption and value for enterprise features — admin and governance controls, security, data connectors, collaboration, and deploying to data platforms — and use it to inform what we build next
- Design experiments for enterprise: account- and cluster-level randomization, interference within organizations, small samples and heavy-tailed account sizes, stratified and matched-pair designs, staged rollouts and long-running holdouts, synthetic control, and Bayesian or hierarchical models where data is sparse
- Measure the incremental impact of GTM programs — pilots, onboarding, enablement, and sales-assist — with the same rigor as product launches
- Own enterprise forecasting for pipeline, bookings, consumption, and expansion, and pressure-test the assumptions behind capacity and quota plans
- Analyze pricing and packaging: seats vs. consumption, and how contract structure shapes usage
- Build a trusted enterprise data layer that joins product telemetry, CRM, and billing data and models the org, workspace, team, and seat hierarchy, so Product, Sales, and leadership can self-serve — increasingly through AI agents rather than static dashboards
- Bring a point of view to the enterprise roadmap and GTM strategy before you're asked
REQUIRED SKILLS AND EXPERIENCE
- 6+ years in product or GTM data science, with significant experience on B2B, collaboration, or multi-seat products
- Hands-on experimentation where the unit of randomization differs from the unit of analysis: cluster randomization, interference, and small-sample designs
- Strong retention and survival modeling, cohort analysis, and segmentation at both user and account level
- Experience defining adoption, retention, and revenue metrics (activation, NRR, GRR, expansion) and getting the company to agree on them
- Built scoring or forecasting models that Sales, Customer Success, or Finance actually used
- Expert SQL, including messy CRM, billing, and product data joined at the account level; strong Python; comfortable building your own datasets in dbt
- A track record of analysis that changed a product roadmap or GTM decision, and the confidence to push back on an attractive story when the evidence doesn't support it
- Heavy, practical use of AI tools to move faster in your own work
PREFERRED QUALIFICATIONS
- Experience at a company that grew from bottoms-up adoption into enterprise sales (collaboration, productivity, or developer tools)
- Consumption- or usage-based revenue models and PLG-to-sales motions (PQLs/PQAs, sales-assist)
- Virality, network, or graph analysis of collaboration data
- Fluency with Salesforce data and RevOps tooling
- Modern data stack: BigQuery, dbt, Hex
BONUS POINTS
- Experience with enterprise admin, security, or governance product surfaces
- Built AI agents for GTM teams (account research, deal reviews, QBR prep)
- Early member of an enterprise or GTM data function
This is a full-time role based in our Foster City, CA office with an in-office requirement of Monday, Wednesday, and Friday.
Full-Time Employee Benefits Include:
💰 Competitive Salary & Equity
💹 401(k) Program with a 4% match (US Only)
⚕️ Health, Dental, Vision and Life Insurance
🩼 Short Term and Long Term Disability
🚼 Paid Parental, Medical, Caregiver Leave
🏝 Flexible Time Off (FTO) + Holidays
🚗 Commuter Benefits (In-Office & US Only)
📱 Monthly Wellness Stipend
🧑💻 Autonomous Work Environment
🖥 In Office Set-Up Reimbursement (In-Office Only)
🚀 Quarterly Team Gatherings
☕ In Office Amenities (In-Office Only)
Want to learn more about what we are up to?
- Self-driving Company https://replit.com/blog/self-driving-company
- Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale
- AI Adoption https://replit.com/blog/ai-adoption
- Build Open-Source Apps https://replit.com/build/open-source-app-builder
Interviewing + Culture at Replit
- Operating Principles https://blog.replit.com/operating-principles
- Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit
To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.
Location: Hybrid - San Francisco
About Vercel:
Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience.
Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide.
About the role
You’ll lead the team responsible for Vercel’s CDN, proxy, and edge caching systems—the core infrastructure that powers performance, reliability, and cost efficiency for every customer request at Vercel. Your mandate is twofold: Operate critical systems exceptionally (latency, reliability, COGS), and align the team to product and business goals, translating strategy into a clear roadmap.
You will set direction, grow people, and create the conditions for high trust, high autonomy, and high output—balancing technical depth with strong people leadership. This is a manager role, not a principal IC role. You’ll code when it’s the highest leverage (e.g., prototypes/unblocking), but your default is delegation, coaching, and alignment.
What you need
8+ years building and operating large-scale distributed systems
3+ years managing engineers (managing managers is a plus)
Demonstrated success leading CDN/proxy/caching/edge or similar high-throughput, low-latency infrastructure
Proven ability to translate business goals into technical strategy and drive cross-org alignment
Track record establishing trust, psychological safety, and clear expectations; skilled at timely, candid feedback
Strong facilitator in technical conflict—you listen, synthesize, decide, and bring the team with you
Competence across HTTP, TLS, caching strategies, load shedding, capacity planning, observability, and cost optimization
Bonus if you
Have experience with
Go, Lua, or Node at the edge; running high-signal hiring pipelines
Collaborating with product/PMM on customer-facing narratives.
Benefits & Compensation:
Competitive compensation package, including equity.
Inclusive Healthcare Package.
Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
Flexible Time Off.
We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.
The San Francisco, CA base pay range for this role is $196,000.00 - $336,000.00. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.
Disclosures:
Privacy:
Please review our
Job Applicant Privacy Policy
for more information on how we handle your data.
Equal Opportunity:
Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.
Location: Chicago, Illinois
Fin
, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system.
Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI.
Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce.
What's the opportunity?
We’re building Fin's Scaled Customer Success team to reach more customers, provide consistent high-impact outcomes, and lean even harder into what makes us unique: our AI-powered products (especially Fin) and deep domain expertise. As a Scaled Customer Success Manager, you’ll be the customer’s trusted guide—helping them adopt and embed Fin's suite at scale, extracting real value, and scaling processes so more businesses succeed, more reliably.
If you’re excited by working at the intersection of AI, product adoption, and operational excellence—and you want to help define how scaled CS works in practice—this is your role.
What will I be doing?
Drive broad product adoption, with special focus on Fin and AI-powered features: helping customers understand how Fin can automate support, enhance service, and deliver self-serve experiences, alongside human support.
Design, implement, and iterate on engagement strategies and playbooks that can scale across customer segments—leveraging technology, automation, digital content, and smart touchpoints.
Own implementation and onboarding conversations for your customers, ensuring they are being set up for success from Day 1.
Monitor usage & health signals proactively—identifying risks, opportunities, and expansion paths; drive intervention where needed.
Collaborate closely with Sales, Solution Engineering, Education, and Product to ensure a seamless customer journey from purchase through expansion.
Act as the Voice of the Customer: feed insights from scaled engagements back into the product roadmap, feature improvements, messaging, and internal training.
Help define what “Scaled CS” means here: you’ll be a builder—defining processes, tools, metrics, and models for what high volume, high value looks like.
What skills do I need?
3-5 years of experience in a customer-facing role in SaaS / technology / product success or similar, with a track record of managing many customers or high-volume engagement.
Strong interest in / experience with AI & automation support tools; ability to explain AI/Fin features and use cases to customers, and help them build workflows around them.
Comfortable discussing technical topics such as APIs, integrations, and workflows—not an expert, but confident engaging with customers on technical questions and guiding them to resources.
Excellent communication skills: can break down complex product and technical topics clearly for different audiences (executives, operations, support leaders).
Data-driven mindset: able to monitor usage metrics, define success metrics, analyse what is / isn’t working, and adapt strategy based on results.
Self-starter, entrepreneurial, comfortable in ambiguity; able to build processes from scratch and consistently improve them.
Strong relationship builder: you can maintain trust even with many customers, manage expectations, and partner with internal stakeholders.
Bonus skills & attributes
Interest in consumption or usage-based SaaS models.
Exposure to Generative AI, chatbots, virtual agents, or AI-assisted support tools.
Experience in operations, scaling CS / onboarding / customer education / digital engagement programs.
*Proof of eligibility to work in the United States is required.
The OTE range for candidates within the Greater Chicago Area is $135,300 - $161,550. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at
fin.ai/careers
. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
Policies
Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our
core values
.
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination.
Know your rights: workplace discrimination is illegal.
Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
