{"id":3151622,"url":"https://alion.io/job/infinite-lambda-sofia-based-i-senior-technical-product-manager","title":"Sofia-based I Senior Technical Product Manager","company":{"id":681093,"name":"Infinite Lambda","domain":"infinitelambda.com","url":"https://alion.io/company/infinitelambda","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Product","role_family":"Product","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":7000,"max":8500,"currency":"EUR","period":"month","gross":null,"usd_annual":114408},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS Lambda","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"AWS","optional":true},{"name":"Fivetran","optional":true}],"status":"closed","first_seen_at":"2026-10-23T09:45:13Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-25T14:34:03Z","board_verified":false,"closed_at":"2026-10-25T14:34:03Z","days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"About us\nInfinite Lambda is Europe’s fastest-growing data and AI consultancy. We empower leading companies to scale and become data-first through agile, cloud-native solutions and cutting-edge practices.\nOur mission is to bring top professionals together to make an impact at the intersection of tech and sustainable growth.\nHeadquartered in London and having distributed teams based in the UK, France, Hungary, Slovakia, Bulgaria, Vietnam, Singapore, Italy, Romania and now expanding to South America we embrace diversity and make sure everyone is happy to be their true self at work. We have already started building teams in Brazil, Argentina, and Chile, and are looking forward to welcoming more teammates to contribute to meaningful projects. Together, we can grow, learn, and experiment with the cutting-edge data and AI technology (dbt and Snowflake among others) that we are all excited about.\nAbout the role\nFlowline moves enterprises off legacy ETL platforms onto a modern data stack. Coding agents write most of our code, so our pace depends on how quickly we decide what to build and how clearly we define \"done\". This role owns both. This is an individual contributor role with no direct reports. Product marketing sits outside it.\nMission: Decide what Flowline builds next and why, test ideas with working prototypes before engineering commits, and take the product from hands-on enterprise migrations to customers who can migrate on their own.\nReports to: CPO\n\nAnticipated start date: In Dec 2026\n\n Location: Sofia (Bulgaria), hybrid\n\nInterview process\n\nIntro call (with TABP): 45-min\n\nTake-home exercise: up to 4 hours to complete\n\n1st Interview (with Product team): 90-min\n\n2nd Interview (with Customer success team): 45-min\n\nCultural Chat (with Executive member): 45-min\n\nWhat you'll do\nTalk to customers, delivery teams and sales every week. Turn what you hear into a ranked roadmap, and say no to the rest with a reason.\n\nSet up the feedback loop with Flowline's three user groups: our forward-deployed engineers, Infinite Lambda's consulting engineers and client teams. Ask for candid criticism and show people what changed because of it.\n\nPrototype ideas yourself with AI tools and put them in front of users before engineering builds anything. Use the prototype to settle the debate.\n\nWrite the definition of done for each feature in plain language, with examples of good and bad output. Engineers and coding agents should be able to test their work against it.\n\nBuild small tools and automations that save the team time, such as feedback triage, usage reports and release notes. We built our own roadmap planner this way and expect the same instinct here.\n\nOwn onboarding so a new user gets value without a call: in-product guidance, documentation, and a demo video generated automatically for every release.\n\nOwn the path to self-serve, so that smaller customers can run a migration on their own and pay for what they use.\n\nGive sales clear product answers and demos, and use usage data to inform pricing and packaging decisions.\n\nReview AI-assisted work before it reaches a customer, and take responsibility for it once it ships.\n\nHow we'll measure it\nMilestones delivered on the agreed date against their written definition of done.\n\nShare of roadmap items with an agreed definition of done before build starts.\n\nDays from customer feedback to a decision on it.\n\nTime from a new user's first login to their first migrated pipeline.\n\nShare of shipped features with a demo video and release note within a week of release.\n\nAfter self-serve launches, the share of small customers who complete a migration without our help.\n\nIn the first 90 days: one milestone delivered against its definition of done, and a feedback forum that FDEs and consulting engineers use.\n\nWhat we're looking for\n5+ years in product management in B2B software, or in software engineering, data engineering, solutions or customer engineering with a move into product. You have taken a product from its first customers to repeatable use.\n\nYou build with AI tools such as Claude, Cursor or similar, and can show us something you built and put in front of real users.\n\nYou write specs that leave little room for interpretation, and you can define \"good\" so it can be tested.\n\nYou spend real time with customers and turn what you learn into decisions.\n\nYou are comfortable with numbers and run your own analysis instead of waiting for a report.\n\nNice to have\nA background in data or analytics, or exposure to Snowflake, dbt, Fivetran or legacy ETL tools.\n\nExperience running a self-serve product alongside enterprise sales.\n\nWhy join Infinite Lambda\nWe support your growth with dedicated learning time, access to top-notch resources and a knowledge-sharing culture;\n\nYou work autonomously here in a wholesome environment and get as much paid holiday as you need;\n\nThe projects are diverse and give you plenty of opportunity to experiment with new tech;\n\nThe benefits are plenty, with work-from-home budget, a company MacBook and more on the list.\n\n Submit your CV in English in PDF.\n\n Mind that as we are an international team, internal communication is in English.\n\n To ensure legislative compliance, applicants may be asked to provide up-to-date proof of a clean criminal record. Examples of said proof include extract n°3 of the Criminal Record (France), Büntetlen előélet (Hungary), Disclosure and Barring Service (DBS) check (UK), an extract from the Criminal Register (Slovakia), or a country-specific equivalent. Providing proof of a clean criminal record is the final step in the hiring process and will only be requested should the applicant accept an offer from Infinite Lambda.\nInfinite Lambda is an equal opportunity employer. Our inclusive culture celebrates diversity and treats everyone with dignity and respect. 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