{"id":1579973,"url":"https://alion.io/job/addepar-sr-engineering-manager-precompute","title":"Sr. Engineering Manager, Precompute","company":{"id":3243,"name":"Addepar","domain":"addepar.com","url":"https://alion.io/company/addepar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":88,"open_postings":7,"ghost_share":0,"stale_share":0.286,"repost_share":0,"time_to_fill_p50_days":66,"computed_at":"2026-10-01T05:45:00Z"}},"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":["Edinburgh, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":84000,"max_usd":177000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":27},"experience_years_min":null,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Kubernetes","optional":false},{"name":"Outlook","optional":true}],"status":"live","first_seen_at":"2026-10-01T12:24:00Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-01T23:46:15Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who We Are\nAddepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.\nThe Role\nWe are seeking a Precompute Platform Lead to own and scale Addepar's precompute layer - the platform that pre-calculates financial analytics and transparently integrates precomputed and real-time results, delivering step-change improvements in query latency and concurrency for enterprise-scale wealth management firms.\nThe team operates on terabyte-scale datasets, leveraging vector-oriented programming and distributed systems to enable sub-second performance. You will lead the evolution of this capability from targeted use cases to a platform-wide performance layer - solving hard problems in incremental computation, vectorised processing, and distributed data architecture as you scale.\nApplicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.\nWhat You’ll Do\nOwn the precompute platform roadmap in partnership with Product and engineering leadership, defining and meeting aggressive performance KPIs for daily processing, incremental processing, and query latency across enterprise clients\nArchitect, implement, and maintain engineering solutions to solve sophisticated problems; reduce complexity through the adoption of strategic data architecture and workflows\nDrive integration with core compute infrastructure, growing the share of query traffic served through the precompute layer\nContinue global region support, building a repeatable architecture that scales across Addepar's multi-region deployment\nDrive deeper vectorisation of the calculation layer, moving compute-intensive factor math from row-by-row execution into the columnar engine for step-change throughput improvements\nImprove team efficiency by engaging with operational partners\nDrive Data Governance outcomes by integrating Data Publisher Responsibilities into precompute data creation workflows and achieving Data Health indicators for precompute artifacts\nWho You Are \nB.S., M.S., or Ph.D. in Mathematics, Statistics, or similar numerate field (or equivalent practical experience).\nExtensive background in software engineering or data platform roles, with significant experience in performance engineering under large scale and high-concurrency systems\nA hands-on engineering leader with demonstrated experience in vector-based data processing\nExperience leading global, distributed engineering teams through production system transformation\nStrong cloud data infrastructure background - AWS, Databricks, Kubernetes\nCross-team technical influence - demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundaries\nData-driven prioritisation mindset - you build and act on usage analytics and cost/performance/accuracy tradeoffs, not just receive them\nData Governance experience - familiarity with publisher responsibilities, data health indicators, and building governance into engineering workflows\nFinance or wealth management domain knowledge is a plus but not required\nA confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills\nOur Values \nAct Like an Owner - Think and operate with intention, purpose and care. Own outcomes.\nBuild Together - Collaborate to unlock the best solutions. Deliver lasting value. \nChampion Our Clients - Exceed client expectations. Our clients’ success is our success. \nDrive Innovation - Be bold and unconstrained in problem solving. Transform the industry. \nEmbrace Learning - Engage our community to broaden our perspective. Bring a growth mindset. \nIn addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.\nWe will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.\nPHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to .","description_format":"text","description_chars":5685,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","Financial Data & Market Intelligence"],"lifecycle":[{"event":"open","at":"2026-10-01T12:38:01Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":66,"reasons":["conf:2","win:early"],"computed_at":"2026-10-02T02:23:31Z"},"pay":null,"html_url":"https://alion.io/job/addepar-sr-engineering-manager-precompute","json_url":"https://alion.io/job/addepar-sr-engineering-manager-precompute.json","meta":{"generated_at":"2026-10-02T02:23:31Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3187,"day_limit":5000,"remaining_today":1813,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}