{"id":70296,"url":"https://alion.io/job/watershed-gtm-engineer","title":"GTM engineer","company":{"id":7207,"name":"Watershed","domain":"watershed.com","url":"https://alion.io/company/watershed","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":4,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":77,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Sales","role_family":"Sales","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States","New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":154160,"max":183300,"currency":"USD","period":"year","gross":null,"usd_annual":183300},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Salesforce","optional":false}],"status":"live","first_seen_at":"2026-08-17T18:03:21Z","employer_posted_date":"2026-09-20","last_verified_at":"2026-11-01T15:23:18Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":75},"description":"About Watershed\nWatershed is the enterprise sustainability platform. Companies like Airbnb, Carlyle Group, FedEx, Visa, and Dr. Martens use Watershed to manage climate and ESG data, produce audit-ready metrics for voluntary and regulatory reporting including CSRD, and drive real decarbonization. We are looking for team members who love product-building, want to work hard at a mission-oriented startup, and will collaborate with us in shaping the culture of a growing team.\nWe have offices in San Francisco, New York, Denver, London, Paris, Berlin, Sydney, Mexico City, and remote team members across the US and Europe. We hope that you'll be interested in joining us!\nThe role\nWe're hiring a builder to architect and operate the systems, applied AI, and data infrastructure Watershed's GTM organization runs on. This is both a systems engineering role and an applied AI role - and the work is shifting how modern GTM systems get built. You'll build the systems and AI that let our GTM teams spend more of their time on customer outcomes.\nYou'll be on the team that architects and operates the technology the GTM organization runs on: CRM, call intelligence, data enrichment, outbound activation, and the agent orchestration layer that wraps them. You'll partner with data science on the GTM data-to-action loop - designing what we capture, how we translate signals into insight, and how insight becomes a workflow the GTM organization adopts. Your work accelerates and extends our existing push toward AI-native GTM operations.\nThis is a role for someone who has already rewired their day around AI and pushed others around them to do the same. You'll have real scope to define how GTM Engineering shows up at Watershed: the systems we build, the agents we run, and the patterns we set for how the wider GTM organization adopts AI.\nSuccess means a GTM organization where leadership trusts the systems, the team adopts what we ship, and AI is embedded in how people work day-to-day. This work is measured by adoption and business impact: pipeline velocity, sales efficiency, and customer outcomes.\nThis role is based in our San Francisco or New York office.\nYou will:\nDrive GTM systems end-to-end - Salesforce (data model, integrations, automation), CPQ, lead routing, call intelligence, data enrichment, outbound activation, and scaled support - designing, developing, and shipping what we build, or leading the evaluation and implementation of what we bring on. Partner closely with Marketing Operations, Sales Operations, Deal Operations, CS Operations where the work intersects their scope.\n\nBuild the applied AI layer of the GTM stack: agents and workflows the GTM organization relies on day-to-day, driving pipeline velocity, sales efficiency, and customer outcomes.\n\nBuild the outbound signal engine with us: signal ingestion, enrichment, play orchestration, and attribution - from the data model to the SDR-facing notification layer - shipping the pilot plays that prove it generates pipeline.\n\nBuild out the GTM Engineering operating infrastructure: deployment pipeline, branching and sandbox management, testing standards, backups, and the AI dev environment (Claude Code, agents, skills) the team ships in.\n\nPartner with data science on the GTM data-to-action loop - driving how we capture data, and how signal becomes insight and insight becomes workflow that moves business outcomes.\n\nBring technical capabilities to the GTM Operations and Marketing Ops teams to accelerate our org's velocity on what we can ship across our systems, our data, and AI tooling.\n\nDrive adoption and measurement like a product owner: discover user pain, ship, change-manage, measure trust and business impact across the AI portfolio, and sunset what doesn't earn its place.\n\nBuild the technical foundation that lets the wider GTM organization work with AI - tools, connections, documentation, supporting agent builds, and operating standards. Partner with Enablement on user-facing training and AI fluency programs.\n\nThe ideal candidate brings:\n5+ years in a customer-facing or GTM-facing technical role at high-growth B2B SaaS or AI companies, including Revenue Systems, GTM Engineer, or RevOps\n\nAI is embedded in the current workflow - deep experience with coding tools (like Cursor or Claude Code), and enterprise agent tooling\n\nBroad experience managing the modern GTM tech stack: data enrichment, lead routing, sales engagement, call intelligence, chat, CPQ, support (experience with Salesforce, Gong, Clay, and/or LeanData preferred)\n\nDeep technical background in system design and architecture - including data model, integrations, automation, and the tradeoffs between declarative and code-based solutions\n\nExperience managing development environments and deployment pipeline (such as Gearset)\n\nMust be willing to work from an office 4 days per week (except for remote roles)\nWatershed has hub offices in San Francisco, New York, London, and Mexico City and satellite offices in Denver, Sydney, Paris, and Berlin. Where we have offices, employees are expected to be in office for 4 days per week. Certain jobs are open to being remote and will be specifically noted on the jobs page and in the job description if so.\nWhat’s the interview process like?\nIt starts the same for every candidate: getting to know the team members through 1 to 2 conversations about Watershed, your experience, and your interests. Next steps can vary by role, but usual next steps are a skill or experience interview (e.g. a coding interview for an engineer, a portfolio review for a designer, deeper experience call for other roles) which leads to a virtual or in person interview panel. We prioritize transparency and lack of surprise throughout the process.\nWhat if I need accommodations for my interview?\nAt Watershed, we are dedicated to ensuring an inclusive recruitment process. We provide reasonable accommodations for candidates with disabilities, long-term conditions, mental health needs, religious observances, neurodivergence, or pregnancy-related support requirements. If you need assistance during your process, please contact your recruiter.","description_format":"text","description_chars":6136,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["ESG & Carbon Accounting Software"],"lifecycle":[{"event":"open","at":"2026-08-17T18:03:21Z"},{"event":"close","at":"2026-09-18T23:36:28Z"},{"event":"reopen","at":"2026-09-20T02:51:47Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 7 · green card filings: 2","filings_12m":7,"filings_prev_12m":3,"green_card_filings_12m":2,"median_offered_wage_usd":181389,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.73,"p_room":0.6,"age_days":75,"expected_fill_days":77,"reasons":["conf:2","velocity","win:late","crowd:"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":183300,"is_top_pay":true},"html_url":"https://alion.io/job/watershed-gtm-engineer","json_url":"https://alion.io/job/watershed-gtm-engineer.json","meta":{"generated_at":"2026-11-01T17:44:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27182,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7207},"rest":"https://alion.io/mcp/rest/get_company?id=7207"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fwatershed-gtm-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fwatershed-gtm-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fwatershed-gtm-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/watershed-gtm-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fwatershed-gtm-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":70296}},{"tool":"search_jobs","arguments":{"company":"watershed.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":70296},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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