{"id":825183,"url":"https://alion.io/job/factored-sales-engineer","title":"Sales Engineer","company":{"id":673411,"name":"Factored","domain":"factored.com","url":"https://alion.io/company/factored","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"D","score":51,"open_postings":11,"ghost_share":0.818,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":{"label":"LATAM time zones","utc_offset_min":-6,"utc_offset_max":-3},"hiring_geo_confidence":"structured","locations":["Colombia"],"countries":["CO"],"hiring_countries":["CO"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":37000,"max_usd":85000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1900},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Clean Architecture","optional":false},{"name":"Context Engineering","optional":false},{"name":"Feature Store","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"RAG","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Anthropic","optional":true},{"name":"Databricks","optional":true},{"name":"Human-in-the-Loop","optional":true},{"name":"OpenAI","optional":true}],"status":"live","first_seen_at":"2026-08-05T13:50:54Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-11-07T14:34:43Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":93},"description":"Fully remote | Complete engagement job\nFounded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world.\nAt Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive.\nWe are seeking a Sales Engineer with deep hands-on experience in AI engineering and machine learning system design to join our go-to-market team. You will partner with Account Executives across the full sales motion, leading technical discovery, designing reference architectures live with prospects, scoping engagements, and translating ambiguous client problems into concrete, deliverable solutions across our service portfolio: data engineering, machine learning, data science, data analytics, and AI engineering.\nCalls often pull toward ML/AI system design, RAG architectures, agentic systems, LLM productionization, evaluation strategy, inference cost/latency trade-offs. You will be the technical authority in those conversations: credible enough to push back on prospects, structured enough to convert a whiteboard sketch into a scoped statement of work, and pragmatic enough to know when a simpler solution wins.\nYou will operate with an owner mentality, closing the loop between sales conversations and engineering and delivery teams, codifying repeatable solution patterns, and raising the technical bar of how Factored sells.\nFunctional Responsibilities:\nLead technical discovery calls with prospects, surfacing real requirements, constraints, and success criteria across data engineering, ML, data science, analytics, and AI engineering use cases.\nDesign and present ML, AI and Data Science system architectures live with clients - including RAG, agentic workflows, LLM evaluation pipelines, model serving infrastructure, and end-to-end MLOps.\nTranslate ambiguous business problems into scoped, deliverable engagements: define solution approaches, identify risks, size effort, and shape statements of work alongside Account Executives.\nServe as the deal-side technical authority, defending architectural choices and pushing back when prospects propose suboptimal designs.\nBuild technical proposals, reference architectures, and proof-of-concept plans that win deals and set delivery teams up for success.\nPartner with delivery leadership to hand off won deals cleanly - ensuring scope, assumptions, and technical context transfer without loss.\nDevelop and maintain a library of reusable solution patterns, demos, and reference implementations across our service lines.\nStay sharp on the rapidly evolving AI/ML landscape (foundation models, agentic frameworks, inference infra, evals) and bring that point of view into client conversations.\nProvide structured feedback to product, delivery, and marketing on what prospects are asking for and where Factored should sharpen its offering.\nRepresent Factored externally when needed: webinars, technical content, conference conversations, and select customer events.\nQualifications:\n5+ years of total professional engineering experience, with a clear track record of increasing technical responsibility and scope.\n3+ years working hands-on as a Senior Engineer in AI Engineering, Machine Learning Engineering, Data Engineering or an adjacent production-focused role.\nDemonstrable expertise in machine learning system design: ability to whiteboard end-to-end ML/AI systems live, reason about trade-offs (latency, cost, accuracy, maintainability), and defend choices under technical scrutiny.\nDeep practical experience with GenAI/LLM systems: RAG architectures, agentic patterns, evaluation frameworks, prompt and context engineering, fine-tuning approaches, and inference infrastructure.\nWorking fluency across the broader data stack: data engineering pipelines (batch and streaming), warehouses/lakehouses, feature stores, and analytics workflows - enough to credibly scope work outside pure AI/ML.\nAdvanced English proficiency, with exceptional written and verbal communication - capable of holding the room with both senior technical stakeholders and executive buyers.\nStrong client-facing instincts: comfortable presenting, listening for the real problem under the stated one, and converting ambiguity into a concrete plan.\nTrack record of execution in fast-paced, ambiguous environments - owns outcomes end-to-end without needing tight supervision.\nStructured thinking under time pressure: can decompose a half-formed client problem into a clean architecture in a 60-minute call.\nNice to have:\nPrior experience in a Sales Engineer, Solutions Architect, or pre-sales technical role at a services firm, AI/ML platform, or cloud provider.\nExperience scoping and writing technical proposals or statements of work for consulting engagements.\nHands-on experience with major LLM providers (Anthropic, OpenAI, Google), inference platforms (Bedrock, Vertex, SageMaker, Databricks Mosaic), and agentic frameworks.\nFamiliarity with evaluation tooling and methodologies for GenAI systems (offline evals, online metrics, human-in-the-loop).\nDomain depth in one or more verticals where Factored sells (financial services, healthcare, retail/e-commerce, logistics, etc.).\nPublic technical presence - talks, posts, open-source contributions, or community engagement in the AI/ML space.\nExperience working with US-based clients across LATAM time zones.\nProduction experience taking ML or AI systems from prototype to deployment - including model serving, observability, cost/latency optimization, and handling failure modes.\nOur Benefits:\nOwnership through equity participation.\nAnnual company retreat.\nEducation bonus for continuous learning.\nCompany-wide winter break.\nPaid time off.\nOptional in-person events and meetups.\nTailored career roadmaps.\nHigh-performance culture.\nAt Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you. \nWe are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. \nIn short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.","description_format":"text","description_chars":8349,"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":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Continuous learning","Equity"],"hiring_locations":[{"name":"Colombia","iso":"CO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Outsourcing & Dedicated Teams","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-09-12T14:11:56Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.483,"p_room":0.28,"age_days":93,"expected_fill_days":30,"reasons":["conf:3","stale_co","win:tail","crowd:"],"computed_at":"2026-11-07T05:47:08Z"},"pay":null,"html_url":"https://alion.io/job/factored-sales-engineer","json_url":"https://alion.io/job/factored-sales-engineer.json","meta":{"generated_at":"2026-11-07T14:46:17Z","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":19351,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-08T00:00:00Z"}},"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":673411},"rest":"https://alion.io/mcp/rest/get_company?id=673411"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffactored-sales-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%2Ffactored-sales-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%2Ffactored-sales-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/factored-sales-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffactored-sales-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":825183}},{"tool":"search_jobs","arguments":{"company":"factored.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":825183},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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