{"id":40958,"url":"https://alion.io/job/signalfire-forward-deployed-engineer-fde-vc-backed-startups","title":"Forward Deployed Engineer (FDE) - VC Backed Startups","company":{"id":8867,"name":"SignalFire","domain":"signalfire.com","url":"https://alion.io/company/signalfire","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"D","score":40,"open_postings":18,"ghost_share":1,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","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":["New York, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":207000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":223},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C++","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Go","optional":false},{"name":"GraphQL","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"Node JS","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false}],"status":"live","first_seen_at":"2026-08-05T07:52:50Z","employer_posted_date":"2026-08-05","last_verified_at":"2026-11-06T05:48:20Z","board_verified":true,"closed_at":null,"days_open":93,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":92},"description":"Join SignalFire’s Talent Network for Forward Deployed Engineer Roles at VC-Backed Startups\nThis is not an application for a specific job. Instead, this is a way to get on the radar of VC-backed startups that are actively hiring Forward Deployed Engineering talent. If you have any questions, please direct inquiries .\nAt SignalFire, we partner with top early-stage startups that are shaping the future of technology. Our portfolio spans 200+ innovative companies across AI, cybersecurity, healthtech, fintech, developer tools, and enterprise SaaS.\nWe’re looking to connect with exceptional Forward Deployed Engineers who are excited about working directly with customers to solve complex technical problems, deploy production-ready solutions, and shape how emerging technologies are implemented in real-world environments.\nBy joining SignalFire’s Talent Network, your profile will be shared with our portfolio companies, giving you visibility into exclusive early-stage opportunities that may not be publicly listed.\nWho Should Join?\nWe’re looking for engineers who are:\nPassionate about solving complex customer problems through software and technical implementation\nExcited to work at the intersection of engineering, product, and customer success\nComfortable operating in ambiguous, fast-moving startup environments\nInterested in translating customer requirements into scalable technical solutions\nStrong communicators who can partner effectively with both technical and non-technical stakeholders\nTypical Roles & Responsibilities\nPartner directly with customers to understand their workflows, technical environments, and business requirements\n\nDesign, build, and deploy production-ready solutions using the company’s core platform or APIs\n\nDevelop custom integrations, applications, and technical workflows tailored to customer needs\n\nTroubleshoot complex implementation, infrastructure, data, and product issues\n\nCollaborate with product and engineering teams to translate customer feedback into platform improvements\n\nGuide customers through technical architecture, deployment, testing, and adoption\n\nCreate reusable tools, documentation, and implementation frameworks that improve delivery across customers\n\nSupport pilots and proofs of concept while helping customers move successfully into production\n\nIdentify recurring customer needs that can inform product strategy and roadmap priorities\n\nCommon Qualifications\nWhile each startup has its own hiring criteria, many Forward Deployed Engineer roles in our network look for:\n3+ years of experience in software engineering, solutions engineering, technical consulting, or a similar customer-facing technical role\n\nStrong coding skills in languages such as Python, JavaScript or TypeScript, Java, Go, or C++\n\nExperience building APIs, integrations, data pipelines, or production applications\n\nFamiliarity with cloud platforms such as AWS, GCP, or Azure\n\nAbility to understand customer requirements and translate them into practical technical solutions\n\nStrong debugging, systems thinking, and problem-solving skills\n\nExperience working with technical and non-technical stakeholders\n\nComfort managing multiple customer deployments or technical workstreams simultaneously\n\nWillingness to travel periodically, depending on the company and customer environment\n\n Technologies You Might Work With:\nLanguages & Frameworks: Python, JavaScript, TypeScript, React, Node.js, Java, Go, C++\n\nData & Infrastructure: PostgreSQL, Snowflake, Databricks, Kafka, Spark, Redis, Elasticsearch\n\nCloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, Terraform, GitHub Actions\n\nAI & Machine Learning: Large language models, retrieval-augmented generation, model APIs, vector databases, machine learning pipelines\n\nIntegrations & Tools: REST APIs, GraphQL, webhooks, enterprise data systems, CRM and ERP platforms\n\nWhat Happens Next?\nSubmit your application to join SignalFire’s Talent Ecosystem.\n\nWe review applications on an ongoing basis to identify strong candidates.\n\nIf there’s a match, a SignalFire talent partner or a leader from one of our startups may reach out directly.\n\nNo match yet? 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