{"id":736506,"url":"https://alion.io/job/gofundme-manager-machine-learning-engineering","title":"Manager, Machine Learning Engineering","company":{"id":673038,"name":"GoFundMe","domain":"gofundme.com","url":"https://alion.io/company/gofundme-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":19,"ghost_share":0.158,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":63,"computed_at":"2026-10-31T05:58:55Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","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"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":219000,"max":329000,"currency":"USD","period":"year","gross":null,"usd_annual":329000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GDPR","optional":false},{"name":"GitHub","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-08-27T20:39:46Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-11-01T01:54:39Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":64},"description":"Want to help us help others? We’re hiring!\nGoFundMe is the world’s most powerful community for good, dedicated to helping people help each other. By uniting individuals and nonprofits in one place, GoFundMe makes it easy and safe for people to ask for help and support causes - for themselves and each other. Together, our community has raised more than $40 billion since 2010.\nJoin GoFundMe as our next Manager, Machine Learning Engineering (ML and AI Operations). In this role, you will lead the team responsible for the infrastructure, pipelines, and operational rigor that keep GoFundMe's machine learning and AI systems reliable, scalable, and safe in production. This role requires strong technical judgment across the ML lifecycle (data → training → online inference → monitoring), a strong understanding of how to enable AI applications to operate safely at scale, and a proven ability to build and lead a high performance team that operates production ML/AI systems with the same rigor as core infrastructure.\nCandidates considered for this role will be located in the San Francisco Bay Area. There will be an in-office requirement of 3x a week.\nThe Job\nOwn the reliability, scalability, and operational health of ML/AI production systems across GoFundMe, including training pipelines, feature stores, model serving, and monitoring/observability infrastructure.\nLead, hire, and grow a team of ML/AI operations engineers, setting technical direction through design reviews, architecture decisions, and shared best practices for production ML and AI systems.\nPartner with data science and ML engineering teams to streamline the path from model development to production deployment, including CI/CD for ML, model packaging, versioning, and rollback strategies.\nEstablish ML operational excellence org-wide by driving standards for model observability (latency, errors, drift, calibration, business KPI deltas), automated retraining triggers, and incident response playbooks.\nBuild and mature on-call processes, SLOs/SLAs, and postmortem practices for ML/AI systems, treating model incidents with the same discipline as production infrastructure incidents.\nDrive operational strategy for GoFundMe's generative AI systems alongside traditional ML, balancing innovation velocity with safety, compliance, cost, and reliability.\nCollaborate cross-functionally with Product, Engineering, Design, and Legal/Privacy stakeholders to translate business goals into team priorities and measurable operational outcomes.\nManage vendor and platform relationships (e.g., cloud ML platforms, LLM providers) and make build-vs-buy calls that balance cost, control, and speed.\nReport on team health, system reliability metrics, and operational risk to senior engineering leadership.\nEmploy a diverse set of tools and platforms, including Python, AWS, Databricks, Docker, Kubernetes, Terraform, Snowflake, and GitHub, to guide your team in developing, deploying, and maintaining scalable and robust machine learning systems.\nYou\n7+ years of hands-on experience building and shipping production machine learning systems, with demonstrated ownership of backend services and ML pipelines in a high-availability environment.\n1-3+ years of experience directly managing engineers, ideally in an MLOps, ML platform, or infrastructure context, with a track record of hiring and developing strong teams.\nStrong proficiency in Python and ML libraries/frameworks such as PyTorch, TensorFlow, Scikit-learn, plus strong software engineering fundamentals (testing, code review, CI/CD, API design, performance, and reliability) - enough depth to stay hands-on and credible with your team.\nExperience designing and operating real-time model serving at scale, including containerization, scalable inference, feature retrieval, and safe rollout strategies (canaries, shadowing, backward-compatible schema evolution).\nStrong data engineering fluency: building reliable datasets and features using SQL, Spark/Databricks, and warehouse technologies (e.g., Snowflake), with an understanding of event semantics, identity resolution, and data quality controls.\nProven experience implementing ML monitoring for both technical and business metrics (drift, calibration, segment performance, latency, error budgets) and running models reliably in production.\nFamiliarity with generative AI/LLM infrastructure and operational considerations (latency, cost, safety guardrails) is a strong plus.\nAbility to break down ambiguous, high-impact problems, define crisp interfaces and success metrics, and deliver iteratively while managing stakeholder expectations across engineering leadership, product, and data science.\nStrong leadership and mentoring skills and a proven ability to raise the bar on architecture, engineering quality, and operational rigor for production ML/AI systems.\nAdvanced degree (Master's or Ph.D.) in Computer Science, Statistics, Data Science, or a related technical field is preferred.\nSense of humor is optional but appreciated.\nWhy you’ll love it here\nMake an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year.\nInnovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere.\nCollaborative Team: Join a fun and collaborative team that works hard and celebrates success together.\nCompetitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits.\nHolistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being.\nGrowth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow.\nCommitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups.\nCommunity Engagement: Make a difference through our volunteering program.\nWe live by our core values: impatient to be great, find a way, earn trust every day, fueled by purpose. Be a part of something bigger with us!\nGoFundMe is proud to be an equal opportunity employer that actively pursues candidates of diverse backgrounds and experiences. We do not discriminate on the basis of race, color, religion, ethnicity, nationality or national origin, sex, sexual orientation, gender, gender identity or expression, pregnancy status, marital status, age, medical condition, mental or physical disability, or military or veteran status.\nThe annual U.S. salary range for this full-time position is $219,000 - $329,000. The company also offers equity and other benefits to employees, including healthcare, dental, vision, life insurance and 401(k) saving program. In addition to this wage, there are geolocation differentials that will increase pay depending on the work location. Additionally pay may vary depending on other factors including skills, experience, education, or training. Your recruiter can share more about the specific total compensation package based on your location during the hiring process. \nIf you require a reasonable accommodation to complete a job application or a job interview or to otherwise participate in the hiring process, please fill out this accommodation form. \nGlobal Data Privacy Notice for Job Candidates and Applicants:\nDepending on your location, the General Data Protection Regulation (GDPR) or certain US privacy laws may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available here. By submitting your application, you are agreeing to our use and processing of your data as required. \nLearn more about GoFundMe:\nWe’re proud to partner with GoFundMe.org, an independent public charity, to extend the reach and impact of our generous community, while helping drive critical social change. You can learn more about GoFundMe.org’s activities and impact in their FY ‘26 annual report.\nOurannual “Year in Help” report reflects our community’s impact in advancing our mission of helping people help each other.\nFor recent company news and announcements, visit our Newsroom.","description_format":"text","description_chars":8261,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Growth opportunities","Hybrid work","Life insurance","Parental leave"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Crowdfunding & P2P Lending","Nonprofits & Foundations","Nonprofit, Church & Membership Software"],"lifecycle":[{"event":"open","at":"2026-09-11T11:12:28Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 19 · green card filings: 2","filings_12m":19,"filings_prev_12m":15,"green_card_filings_12m":2,"median_offered_wage_usd":213929,"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":9}],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.761,"p_room":0.44,"age_days":64,"expected_fill_days":63,"reasons":["conf:2","win:tail","crowd:"],"computed_at":"2026-10-31T05:58:55Z"},"pay":{"stated_usd_annual":329000,"is_top_pay":true},"html_url":"https://alion.io/job/gofundme-manager-machine-learning-engineering","json_url":"https://alion.io/job/gofundme-manager-machine-learning-engineering.json","meta":{"generated_at":"2026-11-01T03:41:32Z","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":5774,"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":673038},"rest":"https://alion.io/mcp/rest/get_company?id=673038"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgofundme-manager-machine-learning-engineering"},{"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%2Fgofundme-manager-machine-learning-engineering"},{"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%2Fgofundme-manager-machine-learning-engineering"},{"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/gofundme-manager-machine-learning-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgofundme-manager-machine-learning-engineering"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":736506}},{"tool":"search_jobs","arguments":{"company":"gofundme.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":736506},"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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