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’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add.
We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas:
Scaling and infrastructure.
Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online.
Velocity.
The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform.
Inference engine.
The software between the accelerator kernels and the routing layer that serves every request.
Performance.
Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance.
This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like.
Key responsibilities
Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery.
Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path.
Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision.
Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps.
Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org.
Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams.
Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion.
Own inference readiness for model launches alongside our launch TPMs.
Minimum qualifications
7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it.
Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking.
A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly.
A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep.
The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers.
Strong written communication, including plans, reviews, and executive updates that many teams depend on.
Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit.
Care about Anthropic's mission and about serving frontier AI safely and reliably.
Preferred qualifications
Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing.
Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform.
Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services.
Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity.
Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work.
Familiarity with Kubernetes-based orchestration and job scheduling.
Experience working with research teams and turning their needs into infrastructure requirements.
Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$435,000 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.
San Francisco, CA | New York City, NY | Seattle, WA
Location: Limassol, Cyprus
We are looking for a hands-on Operations QA Specialist to test and validate end-to-end player journeys and operational flows across our online casino brands.
You will ensure that bonuses, campaigns, payments, loyalty systems and player communications work correctly in practice. A key part of the role is using automation and AI to expand testing coverage, reduce repetitive work and meet short deadlines.
The role focuses on operational readiness, business rules, system configurations and player outcomes. You will work alongside dedicated R&D QA teams responsible for software engineering quality and technical release testing.
Key Responsibilities:
Test player journeys end-to-end, from registration and verification to deposits, gameplay and withdrawals.
Validate bonuses, CRM campaigns, segmentation, loyalty and gamification features.
Check player communications, promotional content and T&Cs across brands, markets, languages and currencies.
Verify operational rules, account restrictions, player balances and transaction accuracy across back-office systems and reports.
Build and maintain automated tests using Playwright/TypeScript or similar tools.
Use AI tools and agents to improve testing efficiency, independently verifying their outputs.
Document defects, coordinate investigations and retest fixes with CRM, Payments/Risk, Support, BI, Product and R&D QA.
Report launch readiness, blockers and risks; perform regression and post-launch checks.
Required Experience:
3+ years of hands-on casino QA experience is mandatory.
Strong knowledge of player journeys, bonuses, wagering, CRM logic and payment flows.
Experience validating business rules and configurations across multiple systems.
Hands-on automation experience with Playwright/TypeScript or comparable tools, plus working knowledge of Git.
Practical experience using AI tools or agents in QA is mandatory.
Familiarity with Jira, TestRail or similar tools.
Strong analytical skills, attention to detail and ability to prioritize independently.
Excellent written and spoken English.
Nice to Have:
Experience with Smartico or similar casino CRM platforms.
Experience testing loyalty, gamification and new brand launches.
Experience across multiple brands, markets, currencies and languages.
API testing, basic SQL and validation against BI/Finance reports.
By joining us, you can expect:
A unique opportunity to build a career in a global, fast-growing company.
An attractive remuneration package, based on qualifications and experience.
Continuous learning and development opportunities.
Company-wide events and team activities, fostering a fun and supportive work environment.
Wolt monthly allowance.
Snack Heaven! Our fully equipped kitchen offers free snacks, fruits, and beverages.
Medical and wellness app, supporting both mental and physical well-being!
Apply now and let’s achieve success together
Apply at https://aloplay.bamboohr.com/careers/116?source=aWQ9MTg%3D
to become a member of our amazing team!
We appreciate all applicants' interest in our open position. Due to the large number of applications, only those who are being considered for the role will be contacted. All applications will be handled with the utmost confidentiality.
Задачи:
— Поддержка текущего сайта: обновление, редизайн, создание новых страниц;
— Создание креативов;
— Проектирование прототипов и интерактивных концептов;
— Анализ пользовательского опыта и предложение UX-улучшений;
— Контроль качества дизайна на этапе реализации;
— Периодическое участие в работе над интерфейсами продукта и дизайн-системой.
Требования:
— Сильный опыт работы с сайтами и лендингами;
— Владение актуальными инструментами в Figma: variables, libraries, slots, grid, motion, agent;
— Хорошие навыки композиции, типографики, работы с сетками и визуальной иерархией;
— Умение создавать сильный графический контент и креативы;
— Активное использование AI в работе: для концептов, графики, прототипов и других дизайн-задач;
— Понимание no-code и vibe coding подходов или желание быстро в них разобраться;
— Внимание к деталям: аккуратные макеты, порядок в слоях и компонентах, pixel perfect;
— Самостоятельность и инициативность: умение предлагать решения, аргументировать их и доводить задачи до результата.
Условия:
— $1,500–2,500 в месяц в зависимости от опыта, результатов интервью и тестового задания;
— Гибкий график работы из любой точки мира с плавающим началом рабочего дня;
— Формат без бюрократии и микроменеджмента;
— Подписки на AI-сервисы, графические, аудио и фотостоки для продуктивной работы;
— Возможность работать не только с сайтом, но и при желании подключаться к дизайну самого продукта или коммуникационному дизайну.
Будет преимуществом:
— Опыт сборки сайтов во Framer;
— Опыт работы с AI-агентами и vibe coding;
— Знание MCP, skills, agent window (или IDE);
— Photoshop на среднем или высоком уровне;
— Сильные навыки графического дизайна, усиливающие визуальную составляющую интерфейсов;
— Наличие в портфолио лендингов, креативов, веб-платформ.
УдалённоmiddleМожно работать из любой страны
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Location: San Francisco, California
Workplace: Hybrid
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THE ROLE
At Sentry, Support is an engineering discipline. Our customers are developers, and they expect answers from people who can read their stack trace, open the SDK source, and tell them what's actually wrong.
We're hiring a Senior Manager to lead Support Engineering. You'll run the team that handles everything from a single developer's SDK question to a production incident at one of our largest enterprise customers. You'll also help drive how we use AI in support: what systems are used, how they best help customers, enable the teams, and how we know the answers they give are right and forward looking.
This is a hands-on leadership role. You'll manage people, set the support strategy, get face to face time with customers, while also getting into tickets when it matters.
IN THIS ROLE YOU WILL
Lead and grow the team
- Manage and coach a team of Technical Support Engineers
- Set clear expectations for technical depth, response quality, and ownership, and give direct feedback
- Design a coverage model that works across time zones, including on-call and escalation paths
- Build career paths for Support Engineers who want to go deeper technically, move into management, or move into different teams and practices
Own support outcomes
- Own and report the team's core metrics: CX, time to resolution, escalation rate, and more
- Use support conversations as a signal: find the top drivers of tickets and get them fixed in the product, the docs, internal operations, or the SDKs, not just answered faster
Run AI-assisted support
- Own the roadmap for our support agents: which request types they handle, what context they need, and when they hand off to a person
- Set the quality bar for agent answers and the process for catching incomplete ones
- Decide where automation is worth building and where it isn't, based on data
Handle escalations and partner across Sentry
- Run the escalation process with Engineering: make sure bugs reach the right team with a reproduction and clear impact, and that customers hear back
- Be the support lead on high-stakes enterprise issues, working with Customer Success, Solutions Engineering, and Sales
- Bring a clear picture of customer pain to Product and Engineering, backed by numbers
YOU'LL LOVE THIS JOB IF YOU
- Think great support is an engineering problem, not a staffing problem
- Want to build the team and the systems at the same time
- Can debug a tricky SDK issue yourself and also explain to a VP why their incident took four hours
- Would rather fix the cause of 200 tickets than answer them faster
- Have strong opinions on where AI helps in support and where it makes things worse, and be willing to discuss this at length.
QUALIFICATIONS
- 8+ years in technical support, support engineering, or software engineering at a SaaS or developer tools company
- 3+ years managing technical support engineers, including hiring and growing a team
- Technically credible with senior engineers: comfortable reading code in at least a few of Python, JavaScript/TypeScript, Java, or Ruby, and debugging across frontend, backend, and infrastructure
- Solid understanding of distributed systems, APIs, and how observability tools (errors, tracing, logs) fit into them
- Hands-on experience running AI or automation in a support org, and a clear view of its failure modes
- Track record of using support data to drive product and process changes
- Clear, direct written communication with customers, executives, and engineers
Bonus
- Experience at a developer tools or observability company
- Former software engineer
- Managed a team spread across multiple time zones
- Open source contributor or maintainer
The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $160,000 to $180,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs.
EQUAL OPPORTUNITY AT SENTRY
Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible.
If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io.
Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.
Location: Singapore
Brainlabs is the independent, founder-led agency building the future of media. We have over 1000 Brainlabbers based across the global, all united through the 12 principles laid out in our Culture Code. We're full-service, with people and AI agents working side by side, all aligned to one thing: maximizing our clients' revenue through a genuinely scientific approach to media. If you want to help play your part in achieving this for the world's biggest brands in an environment that will support and challenge you in equal measure, this is where you do it.
So you’re interested in joining our team as our Senior Associate, SEO? Let's dive into what that means:
As a Senior Associate, SEO your focus is delivering high-quality, best-in-class SEO work for clients!
Your main responsibilities include,
Using your developing knowledge of SEO and Media to deliver campaigns that are on time, accurate and in budget.
Following all best practice and QA processes.
Delivering basic reporting on campaign performance.
Understanding the value of process improvements, innovation and automation.
Presenting to clients as directed by your Manager
Our ideal candidate is someone who,
Passionate about growing your career in marketing and developing skills in strategy, innovation, and client leadership.
A confident and engaging communicator with good presentation skills.
Good data analysis skills.
Someone with strong attention to detail, who is methodical and process orientated and cares about the quality of work and continuous learning.
Experience working in SEO, Media or with data is a big plus, but not a requirement.
And this is what success looks like in the role:
You will live our Culture Code every day!
You're passionate about digital marketing and growing your career.
Achieving the goals set by your manager
Why choose Brainlabs?
Hybrid working model - 3 days office, 2 days at home!
Lunches paid for on office days!
$200 a month wellbeing allowance!
Great medical and health insurance!
and much more!!!
What happens next:
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.
Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities.
Thank you for your interest in Brainlabs! We look forward to getting to know you!
What happens next?
We know searching for a job is tough and that you want to find the best career and employer for you. We also want to ensure that this position is the best fit for both you and us. Therefore, you will participate in a comprehensive interview process that includes skills interviews with our team. The goal of this process is to allow you to get to know us as we learn more about you.
A note on our offices:
We pride ourselves in being a company with an office-centric culture and, for the majority of roles we expect people to be in commuting distance of the office and come in for around 3 days per week.
Brainlabs actively seeks and encourages applications from candidates with diverse backgrounds and identities. We are proud to be an equal opportunity workplace: we are committed to equal opportunity for all applicants and employees regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion, or belief, and marriage and civil partnerships. If you have a disability or special need that requires accommodation during the application process, please let us know!
For details regarding our data processing activities, please refer to our
Candidate Privacy Notice
Protect Yourself from Job Scams:
We've been made aware of fraudulent job offers circulating in Brainlabs' name. Your safety is our priority, so please stay vigilant. Brainlabs will never ask you to transfer money, pay for a job opportunity, or request sensitive information such as Social Security numbers, banking details, or passwords via email, WhatsApp, or unsecured channels. Our official hiring communications only come from verified email domains (@brainlabsdigital.com, @brainlabs.ai, @exverus.com, @jacknimble.com.au, @sparro.com.au) and trusted platforms including Greenhouse, Upwork, Yuno Juno, and Remote. If you receive a suspicious message claiming to be from Brainlabs, do not engage. Instead, forward it immediately to
security@brainlabsdigital.com
. We're committed to protecting our community and ensuring a safe candidate experience. Thank you for your vigilance.
Location: San Francisco, CA; Seattle, WA; San Diego, CA; Los Angeles, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
WHAT YOU'LL DO
- Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
- Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
- Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
- Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
- Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
- Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
- Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.
- Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
- A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
- Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
- Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
- Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
- A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
- Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
- Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
(PREFERRED)
- Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
- Experience managing renewals in a consumption or usage-based pricing model.
Location: US West Coast
Compensation:
- $230K OTE + equity
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: Remote - United States
Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit
www.redditinc.com
.
We are looking for a talented and driven individual to be a key part of our Analytics Engineering team within the Data Science organization. We are looking for someone who can work closely with Data Scientists and Engineers across diverse areas of the organization (Consumer, Ads, and Marketing) to curate, develop, and deploy the right data and analytic tooling to drive Reddit’s product forward and provide a data and tooling foundation that will last decades. Your work will empower thousands of your colleagues to improve the user experience and grow our consumer base.
Successful candidates have a strong track record of understanding and deeply caring about the purpose of data to support business goals, and can act as an effective conduit between Data Producers and Data Consumers. This role sits at the intersection of Data Science and Data Engineering, and the ideal candidate has skills, experience, and passion in both areas.
Responsibilities:
Be a key contributor and collaborator to the success of data quality, performance, reliability, and automation initiatives.
Manage a portfolio of data products that deliver high-quality, trustworthy data
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation. Work closely with engineering to ensure the quality and reliability of these data pipelines.
Develop and implement data quality checks, conduct QA and implement monitoring routines
Create and manage new data integrations across internal and external systems
Create tools and applications for internal use that streamline data analysis and reporting. Drive widespread adoption of these tools and applications with a relentless focus on automation, consistency, and reliability.
Serve as a thought partner for data scientists, engineering managers, and leadership on data foundations, communicating and shaping the data foundations roadmap and strategy for Reddit.
Qualifications:
Bachelor's degree in computer science or a quant educational field
3+ years of experience working with large-scale ETL systems (implementation, strategy, and maintenance), building clean, maintainable code and systems (Python preferred) in a production environment.
Strong programming proficiency in Python, SQL, Spark, Scala, etc.
Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance. Experience with manipulating massive-scale structured and unstructured data.
Experience with data workflows (such as Airflow), data modeling, front-end or back-end engineering.
Experience in data analysis and dashboard design.
Deep understanding of technical and functional designs for relational and MPP Databases.
Proven track record of cross-functional execution and collaboration.
Agentic AI-assisted development experience.
Excellent communication skills to collaborate with cross-functional stakeholders at all levels of the company, of differing levels of technical acumen.
Self-starter, ability to work independently and autonomously, as well as part of a team.
Check out our r/RedditEng post to learn more about the team, and what we do:
https://www.reddit.com/r/RedditEng/comments/1mnmf71/analytics_engineering_reddit/
Benefits:
Comprehensive Healthcare Benefits and Income Replacement Programs
401k with Employer Match
Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
Family Planning Support
Gender-Affirming Care
Mental Health & Coaching Benefits
Flexible Vacation & Paid Volunteer Time Off
Generous Paid Parental Leave
#LI-Remote
Pay Transparency:
This job posting may span more than one career level.
In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit
https://www.redditinc.com/careers/
.
To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below.
The base salary range for this position is:
$164,200
—
$229,990 USD
In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews.
During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable. We will not sell your personal information or disclose it to any third party for their marketing purposes. We will delete any recording of your interview promptly after making a hiring decision. For more information about how we will handle your personal information, including our retention of it, please refer to our
Candidate Privacy Policy for Potential Employees and Contractors
.
Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve. Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.
Location: San Francisco, California
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion sits at a rare intersection: a product people love, a flexible system businesses run on, and a new platform for people and AI to work together. We’re hiring a Product Manager to turn that opportunity into products that feel inevitable. You’ll find consequential customer problems, set a bold but grounded strategy, and build alongside design, engineering, data science, research, and go-to-market partners. This is a high-agency role for someone excited to shape what Notion becomes next—and make powerful new capabilities feel simple, trustworthy, and delightful to millions of customers.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Uncover the customer problems and product opportunities that will define Notion’s next chapter, then turn them into a focused strategy and roadmap.
- Take ambitious ideas from first principles to launch, building closely with design and engineering to create experiences that feel simple, useful, and distinctly Notion.
- Make the hard calls—balancing customer impact, business opportunity, technical complexity, speed, and long-term product quality.
- Shape how AI changes both the product and the way we build, using it to improve research, decisions, experimentation, and execution.
- Raise the bar for product thinking across the team by creating clarity, accelerating learning, and establishing principles and success measures that endure.
SKILLS YOU'LL NEED TO BRING:
- Demonstrated ability to identify meaningful customer problems and turn them into products that are intuitive, useful, and built with a high level of craft.
- Strong product judgment and the ability to make sound tradeoffs among user experience, business impact, technical complexity, quality, and speed.
- A track record of moving ambiguous, cross-functional work from problem definition to shipped outcomes while creating clear ownership and alignment.
- Customer depth: you can learn directly from users across segments and translate differing needs into a coherent strategy rather than a collection of one-off requests.
- Practical AI fluency: you use AI to sharpen research, product thinking, decisions, and execution, and you’re excited to rethink how people and agents work together.
NICE TO HAVES:
- Experience building collaborative, productivity, or AI-powered products used by a broad range of customers.
- Experience operating across both zero-to-one product development and the improvement of products at scale.
- Technical fluency and comfort partnering deeply with engineering on complex product systems.
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $238,000 - $250,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy and NYLL 144.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
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
This is a second line leadership role where you will lead frontline managers, build a world class team, and own the regional Mid Market number for North America. You will be responsible for turning strong early traction into a repeatable, high performing got to market engine across legal and professional services.
We are still early. That means you will operate across altitudes, setting strategy, building structure, and staying close to the field on critical deals. You will help define how Harvey shows up in the North American market, shape our sales motion, and ensure we are delivering real value to customers adopting AI in high stakes competitive environments.
We are looking for someone who has led multi team segments, hired and developed high potential sales managers, scaled teams in ambiguity, implemented a rigorous sales playbook, and knows what great looks like in complex SaaS sales.
About the NAMER Mid-Market Segment
Mid Market at Harvey runs an “enter-lite” motion selling to law firms with 15–150 attorneys, including many of the most prestigious speciality and boutique firms in the world. . Reps own the full cycle, prospecting into net-new accounts, converting them, and driving expansion
You'll inherit a team of Mid Market Sales Managers and their AEs based across western NAMER and will be the primary owner of how that motion runs and scales across the region.
WHAT YOU'LL DO
- Hire, lead, coach and develop a team of Mid Market Sales Managers across North America driving accountability for net new logo and expansion ARR targets.
- Own and evolve the NAMER Mid-Market playbook end to end- ICP and segmentation criteria, qualification methodology (e.g., MEDDIC/MEDDPICC), deal stage definitions, discounting and deal desk guardrails, and forecasting cadence, so the motion is repeatable across every manager and AE in the region.
- Implement and maintain a rigorous sales operating cadence, including seller onboarding, enablement, coaching, pipeline generation, and deal execution.
- Drive the regional sales strategy, including territory design, coverage models, and go-to-market execution across the U.S. and Canada.
- Own NAMER mid market forecasting and pipeline health, providing accurate reporting to senior leadership.
- Hire, coach, and retain top managerial talent; build a strong leadership bench across the region.
- Partner with global mid market leadership (EMEA and APAC) to keep the playbook, methodology, and comp/accelerator structure consistent globally while localizing it for NAMER buyer behavior and legal market dynamics.
- Develop executive relationships with Harvey's highest value Mid Market customers across the region.
- Work cross functionally with marketing, solutions engineering, legal, and customer success to ensure a cohesive customer experience across the region.
- Represent NAMER mid market in global planning cycles, headcount discussions, and strategic initiatives.
WHAT YOU HAVE
- 10+ years of B2B tech sales experience, including 4+ years hiring, managing and developing sales managers or senior individual contributors.
- Demonstrated success leading a regional or multi market sales organization in a high-growth, early stage environment.
- Strong track record of selling complex software to enterprise or mid market clients using a consultative, value based methodology.
- Experience building or scaling a sales playbook : segmentation, qualification frameworks (MEDDIC/MEDDPICC or equivalent), territory design, and deal-desk processes, in a fast growing SaaS environment.
- Fluency with pipeline and forecasting rigor: accurate stage by stage forecasting, pipeline coverage ratios, and the discipline to hold managers accountable to them.
- Exceptional communication and executive presence, able to influence both frontline teams and senior stakeholders internally and within our key customers
- Genuine passion for Harvey's mission and a strong interest in how AI is transforming knowledge work and the legal profession.
COMPENSATION
$425,000 USD OTE 50/50
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-BL1
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: Denver, CO, United States
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
About the Team
Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
Overview:
Fanatics Betting & Gaming (FBG) is hiring a
Senior
Analyst, Operations Automation
to dig into the customer experience inside our AI agent conversations.
Containment and resolution are the numbers you'll live in, and you'll work them at a level of detail nobody else here has time for: one case type, then one subtype, then the next one. In practice that means picking up a subtype with your manager, reading through a stack of real conversations, and working out what's actually going wrong. Sometimes customers get stuck in the same spot over and over. Sometimes a live agent clears the same contact in two minutes because they can check something the AI can't reach yet. Sometimes the AI is doing roughly the right thing badly: the tone is off, the knowledge article behind it is thin, or the prompt is pushing it down the wrong path.
Finding the problem is half the job. The other half is making the case for the fix — what it's costing us now, what the fix is worth, and a story clear enough that a Product partner can act on it. You'll build that case and bring it into intake alongside your manager. We would rather hire someone solid at both halves than someone brilliant at one.
This is a role where you learn the craft of AI customer experience with real ownership of the analysis from day one. You'll sit on the team that owns FBG's AI customer experience and work with Data, Quality, Product, and CX week to week.
Responsibilities:
Maintain and report the key metrics for our customer-facing AI agent — containment, resolution, deflection, escalation rate, repeat contact, and customer satisfaction at a case and subtype level.
Be part of the team that stands up measurement for each new AI surface as it launches, so no surface goes live without a definition of success and the instrumentation to track it.
Build and maintain the BI views and dashboards your team and Product partners use to read AI performance, and keep them accurate as products, policies, and promotions change.
Write the data requirements — event definitions, tagging, table structures, and data quality checks — the metrics depend on, and partner with Data to get them built.
Flag it early when a number stops being trustworthy. Knowing when your own data is wrong matters as much as reporting it.
Find where customers get stuck
Run deep dives at the case type and subtype level to find the stall points inside the AI interaction — where customers rephrase the same question, loop, go silent, abandon, or ask for a human, and what preceded it.
Quantify each stall point so it can be ranked: how often it happens, which subtypes and markets it concentrates in, and what it costs in escalations, repeat contacts, and resolution loss.
Pull together signals from more than one place — conversation data, interaction quality scores, customer and associate feedback, behavioral data, and operational metrics — into one view of what's actually driving the number.
Distinguish issues worth fixing from noise, and be candid about which is which.
Compare the AI to how live agents handle it
Compare how live agents resolve a contact type to how the AI agent handles the same contacts, and identify what agents are doing that the AI cannot do yet — the lookups they run, the tools they touch, the actions they take.
Write up each gap as a clear, specific finding: what the AI would need to close it, and the containment or resolution upside if it did.
Pay attention to the escalation boundary. Where the AI hands off, look at whether it had to.
Point to the right fix
Sort root causes well enough to route them to the right owner and the right lever — grounding and knowledge content, prompt and instruction design, tone, tool access, handoff timing, or underlying policy ambiguity.
Where the AI is already doing the right thing badly, describe the change specifically: what the grounding should say, where the tone misses, which instruction is producing the wrong behavior.
Work with content, grounding, and engineering partners to get your finding specified tightly enough to be built and tested.
Run recurring performance reviews on the case types you own, and keep a ranked, evidence-backed list of the opportunities in them.
Build the story
Turn a pile of conversations and queries into a clear, evidence-backed narrative — the pattern, the representative examples, the size of the problem, and the specific ask.
Quantify the impact of a proposed fix — contacts avoided, resolution lift, handle time, cost, customer experience — with assumptions you can walk someone through.
Package findings into business cases and recommendations a Product partner can act on without a translation layer, and bring them into intake with your manager.
Follow what you handed off through to delivery, then measure whether it did what you said it would.
Report back on what shipped, what moved, and what didn't, so the next prioritization conversation starts from evidence.
Partner and communicate
Work closely with Data, Product, Quality, and CX, and build the relationships that make your findings land.
Translate your analysis into clear language for technical and non-technical audiences alike.
Write up findings and recommendations clearly, and contribute to the leadership-facing materials your team produces.
Share what you learn. Much of what you find will be new to the people around you, and writing it down so the team can use it is part of the work.
Required Qualifications:
2+ years in business analytics, data analysis, business operations, customer experience analytics, or a closely related role.
Strong SQL. You can independently pull, join, and validate data across large datasets without waiting on someone else to write the query.
Experience owning the recurring reporting and analysis behind a metric, and being accountable for the quality of it.
Experience building BI views and dashboards (Tableau, Looker, Power BI, Sigma, or similar) that other people actually use to make decisions.
Ability to move from "the number moved" to "here's the specific root cause, here's roughly what it's worth, and here's what I'd fix." Diagnostic instinct matters more here than modeling sophistication.
Comfort working directly in unstructured conversation data — reading transcripts at volume, spotting the pattern, and then proving it quantitatively rather than stopping at anecdote.
Experience writing up findings and recommendations for partners who don't report to you, and seeing some of them acted on.
Conceptual understanding of how LLM-powered systems behave — prompting, retrieval-augmented generation (RAG), knowledge grounding, and evaluation — enough to tell a grounding problem from a prompt problem from a tool gap.
Clear written and verbal communication. You can write a one-pager someone reads once and understands.
High intellectual curiosity and an AI-first approach to your own work.
Preferred Experience:
Experience analyzing conversational data from chatbots, voice systems, or agent-assist tools in production.
Comfort with Snowflake, Databricks, or a comparable cloud data platform, and with dbt or similar transformation tooling.
Python or R for analysis beyond what SQL handles cleanly.
Background in customer experience, contact center, or support operations analytics — particularly anything that involved understanding how human agents actually resolve contacts.
Hands-on experience writing or editing knowledge content, groundings, or prompts for an AI system.
Experience in sports betting, gaming, fintech, payments, or another high-growth, regulated consumer industry.
Experience partnering with ML or Data Science teams on evaluation frameworks, A/B testing, or experiment design.
Familiarity with knowledge base architecture and how content quality drives AI answer quality.
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$86,000
—
$115,000 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: 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
Harvey is hiring a M&A Counsel to execute on complex, high-impact M&A transactions , while supporting adjacent corporate and partnerships legal needs.
This role is ideal for an experienced M&A lawyer who can own and drive M&A work streams end-to-end with minimal oversight, build Harvey’s M&A playbook and design scalable, AI-forward legal processes, and partner cross-functionally to execute Harvey’s acquisition strategy.
WHAT YOU'LL DO
- Execute on M&A and other strategic transactions, including due diligence, structuring deal structures and term sheets, drafting and reviewing definitive agreements and negotiating key legal and business terms, managing signing, closing and post-closing integration, and overseeing outside counsel
- Design, implement, and continuously improve scalable legal processes, templates, and playbooks to drive efficiency, consistency, and best practices across M&A and other strategic transactions
- Act as a trusted business partner to stakeholders across the company, including Corp Dev, Finance, People, Product, and Operations
- Support adjacent corporate matters as needed, including entity management, employment and compensation, real estate, and insurance
WHAT YOU HAVE
- JD degree and licensed to practice in either California or New York in good standing
- 4-6+ years of relevant legal experience in M&A transactions and the ability to flex across adjacent corporate matters
- At least 4 years in the M&A group of a top-tier law firm, preferably as a 5th year+ associate and with buy-side experience representing fast-growing technology companies
- Ability to thrive in a fast-paced environment, manage competing priorities, and think creatively and strategically under tight timelines
- Team-focused and collaborative working style; strong sense of ownership and comfort operating independently in a rapidly evolving practice
- Exceptional communication skills and intellectual curiosity, with the ability to drive stakeholder alignment, exercise sound judgment and provide solutions-oriented legal advice
COMPENSATION
$220,000 - $270,000 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-ML3
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, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs.
WHAT YOU’LL DO
We’re hiring a Senior Commercial Counsel to be a core member of Sierra’s legal team. We are looking for someone who has deep expertise in commercial contracts, but also someone who is also eager to broaden their scope across IP, regulatory, and product. You will thrive in dynamic environments, enjoy tackling challenges beyond your comfort zone, and be excited to contribute across the business. In return, we’ll provide the support and opportunities you need to grow and excel as a lawyer. You’ll be part of a legal team that is highly respected within both the company and the broader legal industry—committed to excellence, collaboration, and making a meaningful impact.
- Commercial Contracting: Structure, negotiate and advise on all commercial contracts, including SaaS subscription agreements, technology licenses, professional services agreements, channel partner agreement, vendor agreements and NDAs. Commercial privacy and security contracting experience (e.g., DPAs, BAAs, security agreements) is a plus.
- Operational Excellence: Help build out our commercial function to be best in class. We aim to be the fastest and strongest, where the legal team is the differentiator in the contract lifecycle. You will be developing templates, playbooks, and workflows to drive efficiency and scalability.
- Expertise: Deep knowledge of practice areas that underpin the commercial practice, including contract law, IP and privacy. You will also want to work in AI and understand the nuances of law as it relates to AI, including the evolving regulatory frameworks. You will be expected to advise broadly on all contractual issues and be comfortable doing so.
- Teamwork: A team player first and foremost. Sierra is a unique place to work, with a strong sense of togetherness, and the legal team is no exception. You will look out for your colleagues, be accustomed to sharing and helping the team succeed. As the team grows, you will train and mentor more junior members.
- Judgement: Understand risk in the context of a hyper-scaling business, have sound judgement and be strategic in your decision making. You will not be afraid to make judgement calls, and you will be empowered to do so.
- Approach: A strong work ethic with an eye for detail. You will strive for perfection, and expect that of others.
- Collaborate: Collaborate cross-functionally with Sales, Operations, and Agent Development teams to support revenue growth and strategic business initiatives.
WHAT YOU’LL BRING
- 6+ years of legal experience, with a combination of both large law firm and in-house experience at a tech company. While we are looking for a Senior Legal Counsel, we are open to considering exceptional candidates with less experience as Commercial Counsel.
- A strong background in negotiating and managing complex commercial contracts, preferably in SaaS, AI, or enterprise software.
- Strong communication skills and the ability to partner with both legal and non-legal stakeholders.
- A proactive mindset and the ability to navigate ambiguity in a fast-paced, dynamic startup environment.
EVEN BETTER…
- Experience of privacy/regulatory frameworks and can advise on data processing agreements and security-related contract provisions.
- A passion for AI, with a deep understanding of AI products, LLMs and the related legal issues.
- Significant law firm experience at a top-tier, internationally recognized law firm.
- Experience working at a high-growth startup and operating with a sense of ownership.
- Industry specific knowledge in any of the following: Financial Services, Healthcare, Telecoms, Insurance and/or Consumer.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits
- Lunch, as well as delicious snacks and coffee to keep you energized when working onsite
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region and employment type, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply through the link on this page even if your experience doesn't precisely match the job description.
Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy.
We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
Solution Marketing Lead — Financial Services
Location:
Remote (US). Preferred locations NYC, San Francisco Bay Area
Why work at Nebius
Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.
Where we work
Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, APJ and Israel.
The role
The
Solution Marketing Lead for Financial Services and Capital Markets
will report to the VP of Marketing. You will lead our go-to-market strategy, messaging, and solution storytelling across the rapidly evolving world of AI, with a strong focus on helping financial institutions accelerate AI innovation on the Nebius AI cloud.
This is a senior individual contributor role critical to shaping how Nebius is positioned at the intersection of AI cloud and modern financial-services workloads. You will develop solution narratives across quantitative research, financial model training and fine-tuning, risk and portfolio modeling, research copilots, fraud and financial-crime detection, trade surveillance, document intelligence, and agentic AI workflows.
You will drive awareness, adoption, and category leadership by translating Nebius’s technical capabilities into clear, differentiated solution stories and customer proof points. Working closely with product management, sales, enablement, alliances including NVIDIA and the broader financial-services technology ecosystem and the marketing organization.
This role is ideal for someone who deeply understands financial services, particularly capital markets. In addition, can operate strategically and execute quickly while building from 0→1.
Responsibilities
Define positioning and value propositions for financial services workloads on the Nebius AI Cloud and Token Factory.
Build solution narratives across quantitative research, model training and fine-tuning, risk and portfolio modeling, market-data analysis, research copilots, fraud detection, trade surveillance, and agentic AI.
Create messaging frameworks, pitch decks, competitive battlecards, objection-handling guidance, and sales tools that accelerate seller velocity.
Develop high-impact assets, including solution briefs, field playbooks, executive presentations, webinars, demo narratives, and thought leadership.
Enable sales teams and partners to confidently position Nebius with financial-services executives, AI leaders, quantitative teams, and technical buyers.
Partner with a downstream marketing team to develop industry campaigns, account-focused programs, and event activations.
Lead joint solution marketing initiatives with NVIDIA, ISVs, and the broader financial-services technology ecosystem.
Support customer storytelling, PR, Analyst Relations, and industry-influencer programs to build market credibility and customer proof.
Partner closely with product, sales, alliances, customer success, and marketing to bring market requirements into the roadmap and drive measurable business impact.
Qualifications
12–15 years in solution, product, or industry marketing, or technical GTM.
Deep financial services expertise, particularly capital markets; experience in investment banking, asset management, hedge funds, quantitative finance, or capital markets technology preferred.
Strong understanding of AI infrastructure and workflows, including training, fine-tuning, inference, agents, data pipelines, distributed computing, and GPU workloads.
Exceptional ability to translate complex technology into compelling industry narratives, customer value, and business outcomes.
Proven success building industry GTM strategies, enabling enterprise sales, and influencing senior cross-functional stakeholders.
Comfortable building new programs, messaging, and market positions in a fast-moving, high-growth environment.
Familiarity with major cloud/AI platforms and the NVIDIA, and capital-markets technology ecosystem.
Bachelor’s degree required; MBA, master’s degree, or another advanced degree preferred.
Key employee benefits in the US:
#LI-JT1
Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan: Up to 4% company match with immediate vesting.
Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement: Up to $85/month for mobile and internet.
Disability & life insurance: Company-paid short-term, long-term and life insurance coverage.
Compensation
We offer competitive salaries, plus bonus, and equity based on your experience. Title and compensation will be determined based on the candidate’s experience and qualifications.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
Base Compensation Range
$177,000
—
$222,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: San Francisco
ABOUT THE ROLE
You’ll be the operational, detail-first finance partner embedded in REW doing the deep-dive transactional and analytical work that the team needs to run cleanly. Reporting directly to the REW Finance Manager (Talia Young), you will own PO QA and lifecycle operations, accruals and month-end support, GL drill-throughs for Budget vs Actuals (BvA) commentary, and vendor spend visualizations. You’ll partner closely with Leasing, Workplace Ops, Design & Construction, Workplace Experience, Sourcing, and P2P — and you’ll be expected to roll up your sleeves and deliver high-quality, defensible analysis and clean data.
CORE RESPONSIBILITIES
- PO lifecycle & ZIP power-user: Validate chart of accounts, budget availability, REW PO line descriptions, start/end dates; help manage REW POs through the PO creation/change order process in ZIP.
- Accruals & month-end: Assist with month end close; Identify POs that require accruals, collect/validate accrual inputs from owners, prepare accrual backup, input/maintain accrual details in the stratfin file, and reconcile reversals when invoices arrive.
- GL drill-through & BvA commentary: Perform transaction-level GL investigations to find root causes of variances, compile support, and prepare concise, stakeholder-ready variance narratives.
- Vendor invoice & spend visualization: Build and maintain vendor-level dashboards and quick visualizations showing spend trends, aged liabilities, and problem areas.
- Data management & actualize files: Maintain and “actualize” REW files (budget skeletons, accrual trackers, PO registers), ensure data hygiene and version control.
- Budget and forecast cycle support: Enhance budget and forecast templates and automate where possible. Collect and review submissions in detail.
- Technology & automation: Bring a technology-first mindset — prototype small automation/AI agent solutions to reduce manual work (e.g., PO QA checks, GL reconciliation assistants).
- Partnering & follow-up: Recurring operational check-ins with stakeholders as it relates to budget/forecast updates and ensuring operations running smoothly from a financial perspective.
MUST-HAVE QUALIFICATIONS
- Bachelor’s degree in Accounting, Finance, or equivalent experience.
- 4-6+ years relevant experience in FP&A/ corporate finance / finance operations
- Practical, hands-on accruals experience (monthly accruals, prepayments, reversals).
- Demonstrated experience with PO lifecycle and PO system operations
- Strong experience performing GL drill-throughs and tracing transactions to source documentation.
- Advanced Google Sheets / Excel modeling skills
- Excellent attention to detail and the ability to produce defensible, audit-ready work.
- Strong partnership and communication skills — able to extract needed information from stakeholders and drive action.
NICE-TO-HAVE
- Experience with NetSuite, Workday, Oracle, or other ERPs.
- Dashboarding experience (Tableau)
- Prior exposure to real estate, construction, workplace operations, or global food/amenities spend.
- Demonstrated experience prototyping small automations or AI agents to accelerate work.
SOFT SKILLS / COMPETENCIES
- Extremely detail-oriented and process disciplined.
- Independent problem solver who can escalate appropriately.
- Strong prioritization and time management under competing deadlines.
- Curious and technology-forward — comfortable testing small automation/agent ideas.
- Partnership-first: builds rapport quickly and communicates clearly with non-finance stakeholders.
Location: Toronto
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
As an Enterprise Customer Success Manager, you’ll play a critical role in guiding our clients through their journey with Harvey, and help define the future of work at top enterprises and leading Law Firms. This position is pivotal in ensuring our clients not only adopt but also derive maximum value from our technology. You'll act as a trusted advisor, deeply integrating Harvey into their business processes and workflows.
WHAT YOU'LL DO
- Strategic Implementation: Lead the integration of Harvey into client workflows, ensuring seamless adoption and optimal use of our AI solutions.
- Training & Enablement: Evangelize the power of LLMs as you meet with and enable end users to adopt Harvey on a daily-basis as it becomes a “must have” product.
- Client Relationship Management: Serve as the primary contact for clients with a prescriptive and consultative approach and serving as a thought partner to deliver a superior customer experience.
- Success Metrics Management: Leverage adoption rates, utilization metrics, and other KPIs to drive strategies ensuring client satisfaction and high ROI.
- Advocacy and Engagement: Encourage user and stakeholder engagement, transforming them into Harvey advocates within their organizations.
- Customer Health Monitoring: Use analytics and feedback to maintain customer satisfaction, ensuring readiness for renewal and expansion opportunities.
- Feedback Loop: Relay client insights back to our internal teams, aiding in the continuous improvement of our product and services.
- Travel may be required from time to time, including visits to customer office locations and company offices.
WHAT YOU HAVE
- Experienced professionals with a background in Enterprise SaaS, legal (big law) or top tier management consulting firms and direct experience managing large-scale technology projects.
- Individuals with excellent communication and strategic planning skills, capable of influencing stakeholders at various levels.
- Results driven candidates who are able to ruthlessly prioritize competing tasks and demanding customers seamlessly
- Team players described as committed, collaborative and proactive with a team-first mentality.
WHAT WE OFFER
- A chance to be at the forefront of AI technology and innovation, directly impacting how our clients' businesses operate and thrive.
- An opportunity to contribute to the growth and direction of our rapidly-evolving Customer Success program, building out best-in-class playbooks and processes.
- A collaborative work environment that promotes growth, learning, and development.
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-JL1
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: Amsterdam
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
We’re looking for an experienced Account Executive to join our growing GTM team and drive the next wave of growth at LangChain. In this role, you’ll own the full sales cycle helping technical teams at cutting-edge enterprise companies discover, evaluate, and adopt LangChain’s products.
This is a high-impact, high-visibility role where you’ll collaborate closely with engineering, product, and customer success teams to shape how GenAI is adopted across different domains. If you're a relationship-driven seller who thrives in fast-paced, unstructured environments and wants to be part of building the go-to-market motion from the ground up, we’d love to hear from you.
WHAT YOU’LL DO
- Own and manage the full sales cycle, from lead stage to close with a strong bias for follow-up and follow-through
- Act as a trusted advisor to prospects and customers, learning their needs and demonstrating how our products can solve real problems
- Drive proof-of-concept efforts, working with sales engineers and product experts to demonstrate tangible value
- Stay on top of product updates and industry trends to educate customers and shape the conversation around GenAI adoption
- Build long-term customer relationships and support post-sale success in partnership with our deployment and support teams
- Negotiate pricing and deal terms and work with legal to redline contracts
- Bring customer insights back to product and engineering teams to inform the future roadmap and improve the user experience
- Help define and iterate on our sales playbook - your input will help shape our go to market strategies
WHAT YOU'LL BRING
- 5+ years of experience selling complex software to enterprise customers
- A relationship builder that garners trust quickly and approaches sales with empathy and curiosity
- Excellent communication and storytelling skills
- Technical acumen with the ability to establish credibility with technical decision makers.
- You thrive in fast-paced start-up environments and are energized by impact - you want to help evolve the playbook, not just follow one
- Driven and solutions-oriented; you know how to navigate roadblocks and keep deals moving forward
- Passionate about generative AI and excited to help customers navigate a rapidly evolving industry
Compensation
- Annual salary range: $225,000-$350,000 OTE USD
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: London
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE:
We’re hiring a Manager - Sales Development Representatives (SDR) (London) - EMEA to lead and scale our founding EMEA SDR team at LangChain.
Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline.
This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts.
WHAT YOU'LL DO:
- Lead and coach a team of SDRs responsible for generating qualified pipeline
- Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment
- Recruit top SDR talent and grow the team as LangChain continues to scale
- Develop SDR talent through coaching, call reviews, and structured feedback
- Build repeatable outbound and inbound qualification playbooks
- Partner with marketing to convert inbound demand into qualified opportunities
- Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals
- Implement systems and workflows that improve SDR productivity and effectiveness
- Use data to continuously improve performance, analyzing conversion rates across the funnel
HOW TO BE SUCCESSFUL IN THIS ROLE:
- Have 5+ years of experience in sales development
- Have 1–3+ years managing SDRs or leading a sales development team
- Are comfortable working with technical products and developer audiences
- Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.)
- Are highly data-driven and comfortable managing performance through metrics
- Are passionate about coaching and developing early-career sales talent
- Thrive in fast-moving environments where processes are still evolving
- Have strong communication and organizational skills
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.
Limassol, Cyprus
ГибридseniorSan Francisco, California; Design a coverage model that works across time zones, including on-call and escalation paths; Managed a team spread across multiple time zones
seniorSingapore
seniorUnited States - Remote
ОфисSan Francisco, CA; Seattle, WA; San Diego, CA; Los Angeles, CA
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