{"id":2045739,"url":"https://alion.io/job/amazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence","title":"Sr Manager Software Dev, Advertising Full Funnel Agentic Intelligence","company":{"id":19,"name":"Amazon","domain":"amazon.com","url":"https://alion.io/company/amazon","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"A","score":100,"open_postings":20,"ghost_share":0,"stale_share":0,"repost_share":0.05,"time_to_fill_p50_days":18,"computed_at":"2026-10-10T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":220100,"max":297700,"currency":"USD","period":"year","gross":null,"usd_annual":297700},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Reinforcement Learning","optional":false},{"name":"SFT","optional":false},{"name":"Tool Use","optional":false},{"name":"Agile","optional":true},{"name":"Amazon EC2","optional":true},{"name":"Amazon S3","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"DynamoDB","optional":true}],"status":"live","first_seen_at":"2026-10-07T19:26:12Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-10T22:57:30Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Senior Software Development Manager, FAIM Evaluations.\nAmazon Advertising is building toward a future where an advertiser specifies a few marketing parameters (budget, success definition, which products to promote) and a set of AI agents handles the rest. The Full Funnel Agentic Intelligence and Models (FAIM) organization owns that bet: the Ads Nova agent, the Ads Nova model it reasons with, and the agent infrastructure, learning environments, and evaluations that connect the two. We are looking for a Senior Software Development Manager to found and lead the FAIM Evaluations team. You will report directly to the Vice President of Full Funnel Agentic Intelligence and Models and own how the entire organization answers one question: is this actually good at advertising?\nThis is a ground-up build. Evaluation today lives inside individual model and agent teams, measured task by task. You will create the standalone engineering team that turns it into a shared, rigorous system spanning the Ads Nova model, the Ads Nova agent, and the internal agent that serves our Sales, Services, and Operations teams. No inherited harness, no pattern to follow, and a direct line to the VP who sponsors the work.\nWhat we're building\nAn advertising benchmark: a representative set of real advertising tasks, organized by domain and difficulty, from single-step questions through multi-step analysis to long-horizon strategic work, each with structured criteria for what a correct end-to-end response looks like\nEvaluation infrastructure that scores models and agents deterministically against that benchmark, compares Ads Nova to frontier models on the tasks that matter to advertisers, and gives every science and product team in FAIM the same yardstick\nRubrics and task environments built to serve double duty: scoring quality today and producing the reward signal that trains the next version of the model\nAn expert-in-the-loop program that captures how experienced advertising practitioners actually work and encodes that judgment into criteria a machine can grade against\nA capability map, derived from benchmark results, that tells FAIM where the model and agent stand and what to train next\nKey job responsibilities\nFound and lead a standalone team of roughly 10-12: software engineers plus a product manager and a technical program manager; you will hire most of them\nOwn the technical vision and roadmap for FAIM evaluations end to end: task taxonomy, rubric design, environment construction, scoring, benchmark versioning, and the separation between what we evaluate on and what we train on\nBuild for the whole org, not one product: your team evaluates the Ads Nova model, the Ads Nova agent, and the internal agent, and you participate in the planning and reviews for all three\nPartner with applied scientists across FAIM to turn evaluation criteria into training signal for reinforcement learning, and to make sure what we measure is what we optimize\nRun the domain-expert program: source advertising practitioners, define the annotation and calibration process, and hold the quality bar on inter-rater agreement\nSet the evaluation standard for the organization and hold the line on it; where good internal assets already exist, adopt them rather than rebuild\nPublish results leadership and partner teams trust, and own the cadence for re-scoring as models, agents, and tasks evolve\nRepresent evaluations in VP-level reviews, annual planning, and cross-org discussions on model and agent quality\nWe're looking for a leader who brings\n10+ years of engineering experience and 5+ years managing engineering teams, including building a team from a small core\nA track record delivering evaluation systems, benchmarks, or data-quality programs for machine learning models, ideally large language models or agentic systems\nWorking fluency in how modern models are trained and improved (supervised fine-tuning, reinforcement learning from rubric or verifier signal) and what makes an eval useful as a training asset rather than only a scorecard\nJudgment about measurement: when all-or-nothing grading beats partial credit, how to find ambiguous criteria through grader disagreement\nExperience running expert-annotation or labeling programs with external partners, including quality control at scale\nThe ability to operate in ambiguity: turn \"is it good at advertising\" into a concrete, scored, versioned asset with minimal scoping help\nComfort working as the engineering counterpart to scientists you do not manage, and the influence to get model, agent, and product teams onto one yardstick\nAdvertising domain knowledge, or the curiosity and speed to build it by working closely with practitioners\nExperience with Amazon Bedrock, agent frameworks, and tool-use protocols (MCP) is a plus\nBasic qualifications\n- 10+ years of engineering experience\n- 5+ years of engineering team management experience\n- 10+ years of planning, designing, developing and delivering consumer software experience\n- Experience partnering with product or program management teams\n- Experience managing multiple concurrent programs, projects and development teams in an Agile environment\n- 10+ years of software development experience\n- Bachelor's degree in computer science, computer engineering, or related technical field\n- Experience designing, building, operating, and managing large-scale distributed systems or web services\n- Experience with software development in a team, and a track record of shipping software on time\nPreferred qualifications\n- Experience partnering with product and program management teams\n- Experience designing and developing large scale, high-traffic applications\n- Experience hiring, developing, and managing high-performing technical teams\n- Experience with AI/ML technologies\n- Experience within advertising technology related sales\n- Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\nThe base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.\nUSA, WA, SEATTLE - 220,100.00 - 297,700.00 USD annually","description_format":"text","description_chars":7245,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":5,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Parental leave","Restricted stock units"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Advertising","Cloud Platforms (IaaS & PaaS)","Logistics","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-10-07T19:26:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 16,768 · green card filings: 56","filings_12m":16768,"filings_prev_12m":16262,"green_card_filings_12m":56,"median_offered_wage_usd":162609,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+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":10545}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":18,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-10T05:45:15Z"},"pay":{"stated_usd_annual":297700,"is_top_pay":true},"html_url":"https://alion.io/job/amazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence","json_url":"https://alion.io/job/amazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence.json","meta":{"generated_at":"2026-10-11T01:13:00Z","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","counted_by":"address","units_charged":1,"used_today":1770,"day_limit":5000,"remaining_today":3230,"minute_limit":60,"resets_at":"2026-10-12T00:00:00Z"}},"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":19},"rest":"https://alion.io/mcp/rest/get_company?id=19"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence"},{"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%2Famazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence"},{"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%2Famazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence"},{"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/amazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famazon-sr-manager-software-dev-advertising-full-funnel-agentic-intelligence"}]}