{"id":577136,"url":"https://alion.io/job/socure-ai-enablement-engineer","title":"AI Enablement Engineer","company":{"id":2382,"name":"Socure","domain":"socure.com","url":"https://alion.io/company/socure","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":90,"open_postings":28,"ghost_share":0,"stale_share":0.214,"repost_share":0,"time_to_fill_p50_days":76,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":210000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ChatGPT","optional":false},{"name":"Claude","optional":false},{"name":"Cursor","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Confluence","optional":true},{"name":"Jira","optional":true},{"name":"Notion","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Slack","optional":true}],"status":"live","first_seen_at":"2026-09-09T16:06:11Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-27T07:30:22Z","board_verified":true,"closed_at":null,"days_open":47,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":47},"description":"Why Socure?\nSocure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.\nWe hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.\n\nAbout the Role\nWe are looking for an AI Enablement Engineer to accelerate AI adoption across engineering by turning standards, tooling patterns, and proven workflows into repeatable day-to-day practice. This role sits at the intersection of AI tooling enablement, developer productivity, engineering standards, lightweight training, feedback loops, and technical storytelling.\nYou will serve as the connective tissue between the leaders defining AI foundations and standards and the broader engineering organization that needs to adopt them. This is not a passive communications role. It is a hands-on, builder-oriented role focused on driving a more standardized AI Development Lifecycle (AIDLC) across engineering.\nYou will help evangelize the standards and frameworks being built by engineering leaders, coordinate the continuous improvement of those standards based on feedback from engineers in the field, and create the lightweight systems that keep the organization engaged and improving over time.\nWhat You’ll Do\nDrive AI adoption and standardization across engineering\nServe as the primary enablement partner for AI foundations, standards, and framework adoption across the engineering organization.\n\nEvangelize the AI tooling patterns, standards, and best practices being defined by engineering leaders and working groups.\n\nHelp move the organization toward a standardized AIDLC process by making expected behaviors, workflows, and quality bars explicit and easy to adopt.\n\nPartner with leaders across platform, engineering, and operations to identify where AI should become part of default engineering practice rather than an optional side project.\n\nReinforce practical adoption through examples, short demos, applied workflows, and direct support rather than relying only on broad show-and-tell sessions.\n\nOwn the feedback loop and continuous improvement motion\nBuild and maintain a structured feedback loop with the engineering community to understand what is working, where friction exists, and which standards or workflows need refinement.\n\nCoordinate continuous improvement of AI standards and frameworks, not just their rollout, by channeling field feedback back to the leaders building them.\n\nCreate mechanisms to gather lightweight input from engineers, team leads, and managers on adoption blockers, tooling gaps, and workflow quality.\n\nHelp ensure the AIDLC working group stays connected to real engineering usage patterns, not just policy or infrastructure decisions.\n\nTranslate recurring issues into clear recommendations for updates to playbooks, standards, templates, and training assets.\n\nCreate lightweight, high-frequency enablement content\nProduce bite-size recordings, short snippets, and practical reminders that keep engineers engaged with evolving AI standards and practices.\n\nCreate concise do and do not guides, examples of strong AI-assisted workflows, review checklists, and quick-reference materials that reinforce expected engineering behaviors.\n\nUse AI tools such as Claude, ChatGPT, Gamma, and similar platforms to rapidly convert notes, strategy docs, working group outputs, meeting recordings, and examples into reusable enablement assets.\n\nBuild repeatable prompt patterns, templates, and content-generation workflows that can be reused by engineering leaders and the broader org.\n\nSupport office hours, hack sessions, team-specific enablement sessions, or time-zone-aware rollouts where hands-on guidance is needed.\n\nMeasure adoption and tell the story of progress\nPartner with engineering leads to define dashboards and metrics that track AIDLC adoption, AI tool usage patterns, and productivity impact over time.\n\nContribute to technical storytelling on two tracks: how AI standards and frameworks are evolving, and how the engineering org is trending toward more standardized AIDLC behavior.\n\nUse metrics to create clear, data-backed narratives about progress, gaps, and opportunities for further adoption.\n\nHelp package adoption metrics and success stories for leadership updates, engineering all-hands, planning discussions, and quarterly reviews.\n\nSupport the visibility of practical wins such as reduced delivery time, stronger code quality guardrails, faster new-hire productivity, and better reuse of AI-assisted workflows.\n\nSupport onboarding and engineering learning where it matters\nContribute to engineering onboarding by ensuring new engineers are introduced to approved AI tools, standard workflows, and expected usage patterns early in their ramp.\n\nCreate or refresh targeted onboarding assets related to AI tooling, engineering standards, and how teams are expected to work with agents and copilots.\n\nSupport role-specific learning where needed, but keep the primary focus on AI adoption and engineering enablement rather than owning onboarding as the central charter.\n\nWhat Success Looks Like\nAI adoption becomes broader and less dependent on a small set of self-driven power users.\n\nThe engineering organization has a more visible and standardized AIDLC process with clear expectations and reusable patterns.\n\nEngineers receive lightweight, frequent guidance that helps translate standards into day-to-day practice.\n\nFeedback from the field results in continuous improvement of AI frameworks, templates, and best practices.\n\nLeaders can point to clear metrics and stories showing how AI tooling adoption is improving speed, quality, and consistency across engineering.\n\nWhat You Bring\n5+ years of experience in developer productivity, developer experience, technical enablement, engineering communications, technical program leadership, or a similar role in a fast-moving technical organization.\n\nStrong understanding of how modern engineering teams work, including software development lifecycles, code review, testing, developer tooling, platform/reliability concepts, and adoption of engineering standards.\n\nStrong experience using AI tools like Claude, ChatGPT, Gamma, Cursor, and related platforms to create content, package workflows, summarize information, and build reusable assets quickly from existing source material.\n\nDemonstrated ability to create reusable AI-assisted workflows, including prompt libraries, short-form enablement content, templates, and playbooks.\n\nAbility to turn evolving technical standards into clear, practical, high-frequency enablement for engineers and managers.\n\nStrong written and verbal communication skills, with the ability to translate complex technical ideas into concise, useful guidance for different audiences.\n\nExperience building feedback loops, adoption mechanisms, or learning systems that help organizations change behavior at scale.\n\nComfort partnering across engineering leadership, platform teams, operations, recruiting, and business stakeholders.\n\nHigh ownership, strong judgment, attention to detail, and bias for action in ambiguous environments\n\nNice to Have\nExperience in B2B SaaS, platform engineering, identity/fraud/risk, fintech, or other technically complex environments.\n\nFamiliarity with engineering productivity metrics, usage analytics, cost governance, or dashboarding related to AI tooling.\n\nExperience running office hours, technical communities, guilds, brown bags, or other structured enablement programs.\n\nFamiliarity with tools such as Notion, Confluence, Slack, Jira, Glean, LearnUpon, Jellyfish, or knowledge automation systems.\n\nExperience creating executive-ready materials from raw technical inputs.\n\nWhy This Role Matters\nSocure is moving quickly toward a more agent-enabled engineering model, but adoption is still uneven and too reliant on a small number of power users. Without dedicated enablement, strong standards can remain disconnected from daily engineering behavior. This role closes that gap by helping the org adopt, improve, and operationalize AI standards in a way that is practical, measurable, and durable\nExample First-Year Focus Areas\nBuild the enablement system around the AIDLC working group charter and standards rollout.\n\nLaunch a regular cadence of bite-size AI practice content, short demos, and standards reminders.\n\nCreate feedback loops that continuously improve AI playbooks, templates, and standards based on engineering input.\n\nPartner with engineering leads to define adoption dashboards and track progress toward standardized AIDLC usage.\n\nPackage success stories and metrics that show how AI tooling is improving engineering productivity and consistency.\n\nSocure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.\nIf you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.\nFollow Us!\nYouTube | LinkedIn | X (Twitter) | Facebook","description_format":"text","description_chars":9597,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Identity Management","Financial AI"],"lifecycle":[{"event":"open","at":"2026-09-09T18:32:33Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 12 · green card filings: 5","filings_12m":12,"filings_prev_12m":18,"green_card_filings_12m":5,"median_offered_wage_usd":165441,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":8}],"liveness":{"score":78,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.863,"p_room":0.9,"age_days":47,"expected_fill_days":76,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-10-27T05:46:45Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/socure-ai-enablement-engineer","json_url":"https://alion.io/job/socure-ai-enablement-engineer.json","meta":{"generated_at":"2026-10-27T09:31:43Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10643,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2382},"rest":"https://alion.io/mcp/rest/get_company?id=2382"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsocure-ai-enablement-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsocure-ai-enablement-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsocure-ai-enablement-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/socure-ai-enablement-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsocure-ai-enablement-engineer"}]}