{"id":3895815,"url":"https://alion.io/job/monte-carlo-applied-forward-deployed-engineer-post-sales","title":"Applied Forward Deployed Engineer (Post-Sales)","company":{"id":48429,"name":"Monte Carlo","domain":"montecarlo.ai","url":"https://alion.io/company/montecarlo","size_band":"501-1000","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":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":140000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Anthropic","optional":true},{"name":"Claude","optional":true},{"name":"dbt","optional":true},{"name":"Fivetran","optional":true},{"name":"Looker","optional":true}],"status":"live","first_seen_at":"2026-11-06T20:08:47Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-09T00:53:01Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Monte Carlo\nMonte Carlo is the agent trust platform that autonomously observes, fixes, and continuously improves agents and the data that powers them - so enterprises can scale trust at the speed of AI. Bayes, our AI teammate, does the work: detecting, triaging, troubleshooting, and fixing issues in AI agents and the data powering them. The result is self-improving agents that get better with every fix instead of drifting. More than 400 enterprises, including Amazon, PepsiCo, CNN, Nasdaq, and JetBlue, rely on Monte Carlo. Learn more at montecarlo.ai.\nThe Role\nWe're hiring an Applied Forward Deployed Engineer (Post-Sales) to own the technical side of every new customer from the moment the deal closes until they're live and getting value. You'll write production code in customers' Snowflake and Databricks environments, integrate Monte Carlo with their real pipelines, and become the technical advisor they call before they escalate. This isn't support and it isn't a CSM role: your metric is whether the customer is live and consuming. It's an early hire into a new function, so you'll help write the FDE playbook, not inherit one. Remote (US), with roughly 25% travel to customers.\nWhat You'll Do\nOwn deployment from day one post-close: monitors, alerts, and integrations configured for the customer's actual environment.\n\nWrite production-quality Python, SQL, and API integrations tailored to customer pipelines, and clear whatever stands between a signed contract and a fully operational deployment.\n\nDrive customers to consumption. You're accountable for active usage and measurable value, not just go-live.\n\nExpand adoption beyond the first champion across teams, data assets, and use cases.\n\nFeed what you see in the field back to Product and Engineering so it shapes the core product instead of turning into one-off work.\n\nShape the FDE playbook as an early member of the team.\n\nWhat We're Looking For\nData platform depth. 5+ years building on Snowflake, Databricks, or a modern cloud warehouse as the person who designed and built it, not an end user. Production Python and SQL, and comfortable wiring up REST APIs in someone else's environment.\n\nPost-sale ownership. You've owned technical outcomes for enterprise customers after the contract: implementation, solutions or forward deployed engineering, technical onboarding. You measure yourself on go-live and adoption.\n\nRange with people. You can run a working session with a room of data engineers and brief a VP in the same week.\n\nBuilder in ambiguity. You've operated without a playbook and built the structure yourself. You create motion instead of waiting for direction.\n\nNice to have. dbt, Airflow, Fivetran, or Looker; data quality, pipeline monitoring, or incident response; a background in data observability or an adjacent category.\n\nThis Is Not For You If\nYou want a support queue or a defined playbook to follow.\n\nYou've only worked pre-sale and never owned what happens after the contract is signed.\n\nYour data experience is all internal, with no customer-facing context.\n\nYou'd rather advise on the stack than write code in it.\n\nWhy Monte Carlo\nWe created the data observability category, and we're doing it again with agent trust - you'll build where the market is forming, not where it's settled\n\nSeries D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures\n\nCustomers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre - your work ships to enterprises with real stakes\n\nSnowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory\n\nRemote-first by design since day one, and recognized as a Best Workplace for it\n\nCompetitive compensation, equity, and a remote-first environment.\n\nCome As You Are\nEquality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.\nMonte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\nWe are proud to be recognized for our world-class employee experience:\nMonte Carlo Named 2025 Databricks Data Governance Partner of the Year\nWe were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!\nMonte Carlo Named to G2's Best Software Products of 2026\nMonte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!\nWe are super proud to be named the 2026 Best Place to Work by Built In!\nBeware of Imposter Recruiters and Job Scams\nAll official communication from our recruiting team will come from an @montecarlodata.com email address.\n\nWe will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.\n\nWe will never request payment for equipment, training, or application processing.\n\nOur open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.\n\nIf you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at  before sharing any personal 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