{"id":4313374,"url":"https://alion.io/job/antramo-technical-solutions-engineer","title":"Technical Solutions Engineer","company":{"id":4489798,"name":"Antramo","domain":"antramo.com","url":"https://alion.io/company/antramo","size_band":"1-10","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Santa Clara, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"IAM","optional":false},{"name":"SIEM","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"DLP","optional":true},{"name":"EU AI Act","optional":true},{"name":"GDPR","optional":true},{"name":"HIPAA","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-11-14T13:50:38Z","employer_posted_date":"2026-11-14","last_verified_at":"2026-11-14T13:50:38Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Early-Stage Start-Up Opportunity\nAre you ready to join an early-stage startup that secures the data and AI behind some of the world's most regulated enterprises? Be part of a team that is changing how enterprises secure and govern their data and AI, from inside the data store.\nThe Solutions Engineer plays a mission-critical role at the intersection of technology, customers, and revenue. As an SE, you are the technical voice customers trust from first call to proof of value. You turn a security, data, or AI leader's real problems, such as insider risk, over-broad access, sensitive data exposure, or ungoverned AI agents, into a clear picture of how Theom solves them inside their environment.\nYou will partner with Account Executives, work directly with security, data platform, AI, and compliance teams, and carry customer needs back to Product and Engineering. This is not a purely technical role, and it is not a traditional quota-carrying sales role. It is a hybrid startup role for someone equally comfortable in customer conversations, architecture discussions, live demos, proofs of value, and cross-functional collaboration. We are looking for a true startup mindset: a bias to action, comfort with ambiguity, and the drive to build the playbook rather than inherit one.\nWhat You'll Do\nPartner with Account Executives on technical discovery and qualification, and help shape deal strategy.\nDeliver clear, tailored demos built around what customers care about: Identity, Access, Activity, and Exposure, for security, governance, AI, and privacy teams.\nLead proofs of value in customer Snowflake, Databricks, BigQuery, AWS, and Azure environments, from scoping and success criteria through readout. Our platform is built to surface first findings within hours.\nExplain product architecture with confidence to security and data teams: a scoped read-only identity, dedicated compute, and a stateless control plane, so data and controls stay in the customer's environment.\nShow how the product governs AI, including in-store agents such as Snowflake Cortex and Databricks Genie, and connected agents that reach data through credentials.\nPosition the product alongside the tools customers already run, such as catalogs, IAM, DSPM, and SIEM.\nRespond to security questionnaires and RFPs and support technical due diligence.\nBring field feedback to Product and Engineering, and help sharpen our messaging and competitive positioning.\nBuild demo assets, reference architectures, and enablement content.\nWhat We're Looking For\n2 to 4 years in a customer-facing technical role, such as Solutions Engineer, Sales Engineer, Solutions Architect, or Customer Success Engineer.\nWorking knowledge of a cloud data platform (Snowflake, Databricks, or BigQuery) and at least one major cloud (AWS, Azure, or GCP).\nComfort with SQL and basic scripting.\nExcellent communicator who can explain technical concepts clearly to both technical and executive audiences.\nCuriosity about security, data governance, or AI, and the drive to learn fast.\nBonus Points / Preferred Qualifications\nExposure to data security, DSPM, DLP, IAM, or cloud security.\nExperience running POCs or POVs against defined success criteria.\nFamiliarity with SOC 2, GDPR, the EU AI Act, HIPAA, or PCI.\nInterest in AI governance and how agents access enterprise data.\nExperience at a security or data infrastructure startup.\nLocation & Work Arrangement\nLocation: Santa Clara, CA\nWork arrangement: In office four days a week, where the best ideas happen in person.\nCompensation & Benefits\nBase salary: $140,000 to $200,000, depending on experience.\nVariable compensation and equity: performance-based variable pay on top of 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