{"id":4045173,"url":"https://alion.io/job/turing-engineering-manager","title":"Engineering Manager","company":{"id":13199,"name":"Turing","domain":"turing.com","url":"https://alion.io/company/turing","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":11,"ghost_share":0,"stale_share":0.545,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-14T05:58:10Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Harbor","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LiteLLM","optional":false},{"name":"LoRA","optional":false},{"name":"Nest.JS","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"NumPy","optional":false},{"name":"Pulumi","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"JavaScript","optional":true},{"name":"PEFT","optional":true}],"status":"live","first_seen_at":"2026-11-10T22:38:20Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-14T09:43:35Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About Turing\nTuring’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com. \nEngineering Manager\nRole Overview\nWe are seeking an Engineering Manager to lead the development of internal tooling and quality-control systems that power AI training workflows. This role is ideal for a leader who enjoys working across application development, infrastructure, and applied AI. You will be part of a rapidly growing team solving complex problems in AI systems, working in a startup-paced environment with high expectations and short timelines.\nThe ideal candidate is someone who takes ownership beyond what their role technically requires, has a track record of shipping production systems, and is excited by the intensity of a fast-paced, ambiguous environment rather than looking for stable, predictable work.\nKey Responsibilities\nTooling and Platform Development:\nBuild scalable platforms supporting data creation, annotation, evaluation, review, and delivery.\nDesign and implement APIs, internal applications, and developer tooling that enable efficient workflows.\nDevelop maintainable, well-tested code that scales with growing demands.\nQuality and Efficiency:\nImprove dataset quality, task validation, model evaluation, and production efficiency.\nBuild and iterate on evaluation frameworks that ensure quality and reliability of AI training outputs.\nCollaborate with research and domain experts to translate requirements into practical solutions.\nArchitecture and Standards:\nOwn architecture, technical delivery, reliability, security, and engineering standards.\nDesign and implement data pipelines for dataset creation, annotation, and delivery at scale.\nContribute to technical design and architecture decisions that balance speed, quality, and maintainability.\nLeadership and Mentorship:\nMentor engineers and establish strong design, testing, and release practices.\nPartner with Operations, Product, and AI specialists to identify bottlenecks and deliver pragmatic solutions.\nLead teams through urgent, high-pressure delivery schedules while maintaining quality and engineering excellence.\nTechnical Skills\nWeb Development - Node.js, React, NestJS, Next.js, Express\nPython Engineering and Data Science - FastAPI, NumPy, Jupyter notebooks. Proficiency in large-scale data generation and data pipeline orchestration. Frameworks like Spark, Beam, or Dataflow preferred. Statistical analysis, data visualization, and data manipulation.\nInfrastructure - Kubernetes, Docker, Pulumi, Terraform, infrastructure-as-code\nAI Engineering - LangChain, LiteLLM, RL Gyms, LoRA and fine-tuning, AI agents, and Harbor\nQuality Systems - Dataset validation, evaluation frameworks, automated testing, and QC tooling\nQualifications\nStrong software engineering fundamentals with a proven track record of shipping production systems.\nExperience leading teams effectively in fast-paced, ambiguous environments.\nDemonstrated ability to balance speed, quality, scalability, and maintainability in technical decisions.\nStrong debugging, problem-solving, and communication skills with cross-functional teams.\nInterest in the evolving challenges of training and evaluating AI systems.\nWhat Success Looks Like\nYou lead a team that ships high-quality solutions enabling AI training workflows. You can identify technical bottlenecks, design pragmatic solutions, and guide your team to implement them reliably. You're energized by working across the full stack from infrastructure to application code, and you're excited about the technical challenges of building evaluation and quality-control systems for AI at scale while developing strong engineers.\nValues\nWe are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.\nWe work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection\nWe are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.\nAdvantages of joining Turing\nWork at the frontier of AI, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.\nContribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.\nBring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to solve real-world business challenges.\nCollaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies.\nMove at the pace of AI innovation, with the speed, ownership, and impact of a startup.\nTuring is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.\nFor applicants from the European Union, please review Turing's GDPR notice here.","description_format":"text","description_chars":6258,"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":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","Freelance & Talent Marketplaces","AI Training Data & Annotation"],"lifecycle":[{"event":"open","at":"2026-11-10T23:35:58Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":26,"reasons":["conf:3","stale_co","velocity","win:early"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/turing-engineering-manager","json_url":"https://alion.io/job/turing-engineering-manager.json","meta":{"generated_at":"2026-11-14T12:59:04Z","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":12962,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":13199},"rest":"https://alion.io/mcp/rest/get_company?id=13199"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fturing-engineering-manager"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Fturing-engineering-manager"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fturing-engineering-manager"},{"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/turing-engineering-manager\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fturing-engineering-manager"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4045173}},{"tool":"search_jobs","arguments":{"company":"turing.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4045173},"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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