{"id":3861538,"url":"https://alion.io/job/reo-technical-account-manager","title":"Technical Account Manager","company":{"id":34485,"name":"REO","domain":"reo.dev","url":"https://alion.io/company/reo","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Docker","optional":true},{"name":"GitHub","optional":true},{"name":"Looker","optional":true},{"name":"Metabase","optional":true}],"status":"live","first_seen_at":"2026-11-06T08:28:45Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T00:11:38Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"ABOUT REO\nWho we are\nReo.Dev is a modern revenue stack for Developer focused companies. We help Developer Tool companies identify which Engineering Teams have an Urgent need for their product and the highest likelihood of conversion. We capture and analyze a wide array of developer activity data from Github, Docs, Docker Installs, Communities, other dev specific sources and convert them to sales signals.\nRead more here:https://app.notion.com/p/roverly/About-Reo-Dev-18c33e0c3ba2808280f8e4235365a052\nGreat! Now let’s talk about You and this Role!\nWhat will you be working on?\nCustomer Enablement\nSupport onboarding and configuration of customer integrations across APIs, CRMs, and data sources.\nInvestigate and resolve integration and data issues using SQL, JSON, and API-based debugging.\nCollaborate with Customer Success Managers to provide technical clarity and ensure issue resolution within SLA.\nWrite help document custom setups, configuration nuances, and recurring issues for knowledge sharing\nData & Technical Operations\nExecute SQL-based data validation, perform sync health checks, and verify mapping accuracy across systems.\nProactively monitor data pipelines and customer usage metrics to identify anomalies or trends.\nPartner with Engineering and Product teams to reproduce and triage technical issues with detailed findings.\nMaintain internal records of tenant configurations, data mapping logic, and integration health status.\nPerformance & Quality Metrics\nEnsure response and resolution times are met for all customer issues as per defined SLAs.\nTrack and report average TAT (Turnaround Time) and Resolution Time for technical cases.\nIdentify recurring issues that impact SLA adherence and collaborate on automation or process improvements.\nMaintain a consistent focus on operational excellence and measurable customer satisfaction outcomes.\nInsights & Process Improvement\nUse SQL and product data to prepare reports for QBRs, customer reviews, and internal performance tracking.\nIdentify recurring issues and opportunities for automation or documentation improvements.\nContribute to building and refining internal tools that streamline technical support workflows.\nCross-Functional Collaboration\nWork with Product and Engineering to communicate customer feedback and feature requests.\nSupport Customer Success Managers in driving product adoption and data-driven account insights.\nParticipate in internal syncs to continuously improve how the TAM function operates at scale\nWhat You’ll Bring\nProficiency in scripting with Python to automate routine workflows, parse logs, and handle data manipulation with AI.\nWorking familiarity with AI/LLM concepts, integrating AI-driven APIs, or utilizing generative AI tools to streamline technical troubleshooting and workflows.\n1-2 years of experience in technical support, customer success, or implementation engineering within a SaaS or technology company.\nProficiency in SQL for querying, validating, and analyzing customer and product data.\nWorking knowledge of APIs, JSON, and basic data integration concepts.\nStrong analytical and troubleshooting skills, able to identify patterns and resolve root causes.\nExcellent written and verbal communication skills, with the ability to explain technical concepts clearly.\nCuriosity and drive to learn about customer environments, data systems, and integration logic.\nBonus Points For\nExperience with Salesforce, HubSpot, Segment, or similar CRM/automation tools.\nExposure to data visualization tools (Metabase, Looker, Mode, etc.)\nExperience with tools like Hotjar, Logrocket, etc\nPrior experience in a B2B SaaS environment supporting enterprise or API-driven products\nWhy You’ll Love Working Here\nExposure to complex, real-world data challenges across multiple enterprise integrations.\nCollaborative, customer-focused environment where your technical insights directly drive business outcomes.\nOpportunities to shape internal processes, automation, and data tooling that scale our Customer Success function.","description_format":"text","description_chars":4016,"description_truncated":false,"requirements":{"experience_years_min":1,"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":["Marketing & Sales AI","B2B Company & Contact 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