--- title: 'GTM Associate (Product - Watcher) at Apollo Research' canonical: 'https://feeny.ai/job/gtm-associate-product-watcher-apollo-research-london-71s3g2hdbxpw' type: 'job' last_seen: '2026-11-03' --- # GTM Associate (Product - Watcher) at Apollo Research - **Company:** Apollo Research - **Location:** London, United Kingdom - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-23 - **Last confirmed live:** 2026-11-03 - **Apply:** https://jobs.lever.co/apolloresearch/df8439d2-b43e-4136-94d9-d9071f9327a2 ## Job description ## THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. We are looking for our first Go-To-Market Associate to build Watcher's pipeline engine and bring a qualified pipeline to the Founding Account Executive. Think of the role as a BDR / GTM engineer hybrid. Half the work is finding and reaching the right people inside the right companies. The other half is building the systems that make that repeatable: signal detection, enrichment, sequencing, reporting. A good chunk of this job should be automating the previous version of this job. There is no marketing function for Watcher today. Until there is, you own the parts of marketing that produce the pipeline: events, target personas, and getting our research in front of the people who should read it. Our ideal customer profile and target market are set together with product and the GTM lead. Within those accounts, you decide who we reach, how we reach them and which experiments to run to find out which segments are real. You will work directly alongside our GTM lead.  As we grow, this role can develop toward owning deals as an account executive, GTM engineering and operations, or partnerships, depending on where your strengths are. ## KEY RESPONSIBILITIES Top of funnel and outbound - Work out which companies are deploying coding agents at scale, who inside them feels the problem, and which of them we should spend time on. - Research accounts and people. Work out whether we have something genuinely useful for this person and what it is. - Personalize the outreach. Short, specific, honest messages that a busy security engineer will reply to. - Run outbound as a set of experiments rather than a volume target: test segments, messages, and channels against each other, read the results honestly, and kill what is not working. Events and conferences - Own the conference motion end to end. Decide which events are worth attending. Attendee research and prioritisation, pre-show outreach, booked meetings before the doors open, logistics on the day, and follow-up out within 48 hours. - Make the team effective in the room: briefs on who is coming, what they care about, and what we want out of each conversation. Pipeline operations and tooling - Maintain best-in-class CRM hygiene: accurate notes, activity logging, dispositions, and next actions. Everyone has visibility where every live opportunity stands and what it is waiting on. - Build the reporting that tells us what the top of the funnel is actually producing - Turn repeated manual work into tooling. A good chunk of this job should be automating the previous version of this job. ## REPRESENTATIVE PROJECTS - Own a conference end to end. Take a sponsored conference: Work the attendee list, research and rank who is genuinely worth our time, run the pre-show outreach, land a target number of booked meetings before day one, and have every follow-up sent within 48 hours of the close. Then write up which parts of that were worth repeating. - Make how we approach a new account repeatable. Turn the way we research and open a company into something anyone here could run - Find the segment nobody has looked at. Pick a slice of the market we have not worked on, build the list from scratch, write the messages, run it, and come back with a clear read on whether it is real. ## JOB REQUIREMENTS Must-haves - 2+ years of professional experience in a commercial, sales, go-to-market, or business development role - Early-stage experience. You have worked at a startup without a playbook, ideally as one of the first commercial people there, and you know what it is like to decide what to do next rather than be told. - High agency and ownership. You see what needs doing and do it. When something stalls, you find out why and move it, rather than reporting that it is stalled. You should want the responsibility of deciding where our effort goes, not just executing a list. - Startup pace. Excited by a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. - Technically curious. You do not need to code, but you do need to get genuinely interested in how coding agents work and how they fail, well enough to hold a credible conversation with a security engineer and know when to hand off to someone deeper. - Comfortable leveraging AI heavily for research, drafting and operations, while holding the output to a high standard. Strong nice-to-haves - Background in cyber security, developer tools, or AI/ML - Experience in founder-led sales. You have supported a founder or a first GTM hire directly and understand how that relationship works. - Experience with coding agents as a user. You have used Claude Code, Codex, Cursor, or similar heavily. - Comfort with GTM tooling and light scripting. CRM, enrichment, outbound tooling, or anything you have built yourself to avoid doing something twice. Explicitly not required - Formal AI safety background. We need an excellent operator who can learn the AI safety context, and we will teach you what you need to know. ## BENEFITS - This role offers market competitive salary, equity, and competitive benefits. - Base Salary: £72,000 - £98,000; Variable: performance incentives against ARR/qualified pipeline targets. - Everyone at Apollo effectively has an unlimited token budget. If a better result costs more compute, use it. - Flexible work hours and schedule - Unlimited vacation - Unlimited sick leave - Up to 6 months of paid parental leave - Comprehensive health, dental and vision insurance - Retirement savings with competitive employer matching - Lunch, dinner, and snacks are provided for all employees on workdays - Paid work trips, including staff retreats, business trips, and relevant conferences - A yearly $1,000 (USD) professional development budget - Relocation support and visa fees (if applicable) ## LOGISTICS - Time Allocation: Full-time - Location: This is an in-person role working out of our London office, with regular travel to conferences and occasional travel to customer sites. We offer flexible working hours and some WFH arrangements. - Visa sponsorship: We sponsor visas in the UK. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ## ABOUT THE TEAM You will work directly with Kyle Dai, our GTM lead, and alongside the product team: product engineers Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; and control and security researchers Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov and Billy Gigurtsis. Marius Hobbhahn (CEO) advises the team. You will also interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ## ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. ## HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples, including anything you have written. About the interview process: Our multi-stage process includes a screening interview, a take-home exercise (2-3 hours), 2-3 technical interviews, and a final interview with Marius (CEO). If you want to prepare, we suggest using a coding agent heavily for a week and forming your own view on who should be buying something like Watcher, and why. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai. ## About Apollo Research ## Company Overview - **One-liner**: Apollo Research is an AI safety organization dedicated to securing frontier AI systems by detecting and preventing scheming (deceptive alignment) through technical research, evaluations, monitoring products, and policy guidance. - **Entity Type**: Private (Public Benefit Corporation) - **Headquarters**: London, United Kingdom (with offices in San Francisco, California, and opening Washington, D.C.) - **Founded**: 2023 - **Founders**: Not publicly available from sources ## Core Business - **Primary industry**: AI safety research and assurance; security monitoring for AI agents - **Target customers**: Frontier AI developers (e.g., OpenAI, major labs), governments and international bodies, enterprises deploying AI agents - **Mission**: "Secure frontier AI systems across development, deployment, and governance" [apolloresearch.ai/about](https://www.apolloresearch.ai/about) ## Products & Services - **Scheming Evaluations**: Behavioral and interpretability-based evaluations to detect whether frontier AI models exhibit deceptive alignment (scheming). Apollo runs these evaluations in partnership with major AI labs, including OpenAI, to assess models before public deployment. [apolloresearch.ai/about](https://www.apolloresearch.ai/about) - **Watcher (Monitoring Product)**: A two-part product for controlling and securing coding agent deployments: - *Watcher Live* – Real-time monitor that identifies and blocks undesirable actions or steers agents back on track. - *Watcher Analyze* – Observability layer for reviewing all agent activity, analyzing failures, and receiving notifications. [apolloresearch.ai/blog](https://apolloresearch.ai/blog/apollo-update-may-2026) - **Governance Advisory & Policy Playbooks**: Threat modeling, loss‑of‑control playbooks, and policy recommendations for governments (e.g., EU AI Office, US Congress, UN Advisory Body). Notable outputs include *The Loss of Control Playbook* and the *Behind Closed Doors* primer on internal deployment. [apolloresearch.ai/blog](https://apolloresearch.ai/blog/apollo-update-may-2026) ## Market Standing - **Valuation**: Not publicly available - **Key Metric**: Headcount of 28 employees (as of mid‑2026), growing 72% year‑over‑year [linkedin.com](https://linkedin.com/company/apollo-research-ai) - **Notable Investors/Partners**: OpenAI (partnered for testing o1 and anti‑scheming interventions), EU AI Office, UN Advisory Body, US Congress [apolloresearch.ai/about](https://www.apolloresearch.ai/about) - **Growth Signals**: Opened San Francisco office in 2026 with plans to grow to 10+ staff; opening Washington, D.C. office in June 2026; expanding from evals into a full “Science of Scheming” research agenda and a commercial monitoring product [apolloresearch.ai/blog](https://apolloresearch.ai/blog/apollo-update-may-2026) ## Competitive Advantages - **Unique focus on “scheming”**: Apollo is one of the few organizations dedicated specifically to detecting and preventing deceptive alignment—a risk many labs now acknowledge. - **First-mover evidence**: Published the first public evidence that frontier models can scheme in context, lending credibility and urgency to their work. - **Deep lab partnerships**: Direct collaborations with frontier AI developers (e.g., OpenAI) allow Apollo to run pre‑deployment evaluations and influence safety practices. - **Dual research‑product model**: Combining fundamental behavioral research with a commercial monitoring product (Watcher) creates a real‑world feedback loop and diversified funding. ## Strategic Focus - **Science of Scheming**: Understanding how scaling trends (e.g., increased situational awareness, long‑horizon RL) drive scheming behavior in future models, rather than only evaluating current models. - **Evaluation campaigns**: Running suites of behavioral and interpretability tests across frontier models to generalize findings from individual systems. - **Monitoring productization**: Scaling Watcher as an enterprise tool for securing coding agents, with both immediate safety and long‑term oversight subversion use cases. - **Policy influence**: Advising governments on loss‑of‑control, internal deployment, and automated AI R&D risks; establishing a D.C. presence to shape national security procurement and regulation. ## Why Work Here - **Mission‑driven**: Employees work directly on preventing one of the most severe risks from advanced AI—scheming and loss‑of‑control [apolloresearch.ai/careers](https://www.apolloresearch.ai/careers). - **Compensation**: Competitive salary, equity, pension/401(k) matching, visa sponsorship, and relocation support [apolloresearch.ai/careers](https://www.apolloresearch.ai/careers). - **Culture**: In‑person collaborative culture with offices in London, San Francisco, and D.C. – “the best collaboration happens in person,” though flexible working hours and work‑from‑home days are offered [apolloresearch.ai/careers](https://www.apolloresearch.ai/careers). - **AI‑native engineering**: Fluency with AI tools and coding agents is valued; the company expects an engineering mindset and real‑world production skills. - **High impact**: Small, fast‑growing team (28 people) with outsized influence on frontier AI policy and lab safety practices. ## Sources 1. [apolloresearch.ai/about](https://www.apolloresearch.ai/about) 2. [apolloresearch.ai/careers](https://www.apolloresearch.ai/careers) 3. [linkedin.com](https://linkedin.com/company/apollo-research-ai) 4. [apolloresearch.ai/team](https://www.apolloresearch.ai/team) 5. [apolloresearch.ai/blog](https://apolloresearch.ai/blog/apollo-update-may-2026) ## Other roles at Apollo Research - [Research Scientist/Engineer (Fundamental Science)](https://feeny.ai/job/research-scientist-engineer-fundamental-science-apollo-research-london-5zdh2k4csfr7) — London, United Kingdom / San Francisco, CA - [Lead Research Scientist/Engineer (Embedded Evaluations)](https://feeny.ai/job/lead-research-scientist-engineer-embedded-evaluations-apollo-research-london-qhjqywfmgra8) — London, United Kingdom / San Francisco, CA - [Founding Account Executive (Product - Watcher)](https://feeny.ai/job/founding-account-executive-product-watcher-apollo-research-london-p80z8e5srm9w) — London, United Kingdom - [Finance Manager](https://feeny.ai/job/finance-manager-apollo-research-london-63bczzm5850f) — London, United Kingdom - [AI Security & Control Researcher](https://feeny.ai/job/ai-security-control-researcher-apollo-research-london-beb9je2z6pn8) — London, United Kingdom / San Francisco, CA - [Research Scientist (Control)](https://feeny.ai/job/research-scientist-control-apollo-research-london-rp39n348emvs) — London, United Kingdom / San Francisco, CA - [Senior Security Engineer](https://feeny.ai/job/senior-security-engineer-apollo-research-london-53m9rf98tb82) — London, United Kingdom / San Francisco, CA - [AI Security Researcher](https://feeny.ai/job/ai-security-researcher-apollo-research-london-wk1vfhdtjh9h) — London, United Kingdom / San Francisco, CA - [Forward Deployed Engineer (Product)](https://feeny.ai/job/forward-deployed-engineer-product-apollo-research-london-yjdd40mmbgex) — London, United Kingdom / San Francisco, CA - [Engineering Manager (Product)](https://feeny.ai/job/engineering-manager-product-apollo-research-london-jtv0gj1629tb) — London, United Kingdom / San Francisco, CA