{"id":14425,"url":"https://alion.io/job/trig-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":4449,"name":"Trig","domain":"triginc.org","url":"https://alion.io/company/trig","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":100000,"max_usd":200000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":14},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"DynamoDB","optional":false},{"name":"GCP","optional":false},{"name":"OpenSearch","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2025-09-30T16:58:33Z","employer_posted_date":"2025-09-30","last_verified_at":"2026-10-26T04:09:40Z","board_verified":true,"closed_at":null,"days_open":390,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":390},"description":"About the Role\nWe're seeking a Forward Deployed Engineer to bridge the gap between our AI account management product and our enterprise clients. You'll work directly with customers to implement, customize, and optimize our platform for their specific business needs while feeding insights back to our engineering team.\nWhat You'll Do\nCustomer Implementation & Success\n- Deploy and configure our AI account management platform for enterprise clients\n- Work onsite or remotely with customer teams to ensure successful integration\n- Customize workflows, data pipelines, and AI models to match client requirements\n- Troubleshoot technical issues and provide rapid resolution during implementation phases\n- Train customer technical teams on platform usage and best practices\nTechnical Development\n- Build custom integrations between our platform and client systems (CRMs, ERPs, databases)\n- Develop client-specific features and modifications using Python\n- Create data transformation scripts and API connections for seamless data flow\n- Prototype solutions for unique customer use cases\n- Maintain and update client-specific codebases\nProduct Intelligence\n- Gather detailed feedback on product performance in real-world environments\n- Identify patterns in customer needs and technical challenges\n- Collaborate with product and engineering teams to influence roadmap decisions\n- Document best practices and common implementation patterns\n- Contribute to internal tooling that improves deployment efficiency\nWhat We're Looking For\nTechnical Skills\n- Strong proficiency in Python, PostgreSQL, DynamoDB, OpenSearch\n- Experience with APIs, webhooks, and system integrations\n- Familiarity with cloud platforms (AWS, Azure, or GCP)\n- Experience working with Snowflake, Databricks or similar data warehouses\n- Knowledge of AI/ML concepts and how they apply to business processes\nCustomer-Facing Skills\n- Excellent communication skills with both technical and business stakeholders\n- Ability to translate complex technical concepts into business value\n- Experience working directly with enterprise customers\n- Comfortable presenting solutions and leading technical discussions\n- Problem-solving mindset with customer success orientation\nExperience\n- 3+ years of software engineering experience\n- Previous experience in customer-facing technical roles (solutions engineering, consulting, implementation)\n- Background in B2B SaaS environments\n- Experience with account management or sales technology systems preferred\nWhy Join Us\n- Direct impact on customer success and company growth\n- Unique blend of technical development and customer interaction\n- Opportunity to shape product direction through customer insights\n- Work with cutting-edge AI technology in a rapidly growing market\n- Collaborative team environment with significant autonomy\n- Competitive compensation including equity participation\nLocation & Travel\nThis role involves regular customer interaction and may require travel to client sites. 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