{"id":12640,"url":"https://alion.io/job/sierra-software-engineer-context-engine","title":"Software Engineer, Context Engine","company":{"id":37541,"name":"Sierra","domain":"sierra.ai","url":"https://alion.io/company/sierra-ai","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":86,"open_postings":66,"ghost_share":0,"stale_share":0.348,"repost_share":0,"time_to_fill_p50_days":91,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":230000,"max":390000,"currency":"USD","period":"year","gross":null,"usd_annual":390000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Apache ECharts","optional":false},{"name":"Apache Kafka","optional":false},{"name":"D3.js","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Go","optional":false},{"name":"Google Maps","optional":false},{"name":"Google Workspace","optional":false},{"name":"OpenAI","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scala","optional":false},{"name":"Spark","optional":false},{"name":"Trino","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-06-05T18:26:10Z","employer_posted_date":"2026-06-05","last_verified_at":"2026-10-23T10:40:20Z","board_verified":true,"closed_at":null,"days_open":139,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":139},"description":"About us\nSierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands - including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank - to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.\nWe are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.\nOur co-founders are Bret Taylor and Clay Bavor. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.\nWhat you'll do\nYou’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas:\nData Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization.\n\nMemory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes.\n\nWhat you'll bring\nWe’re excited to meet candidates who bring depth in one of these areas:\nPlatform Engineering\nYou have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi.\n\nYou possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats.\n\nYou have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon.\n\nYou're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses.\n\nProduct Engineering\nYou have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems.\n\nYou are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish.\n\nYou excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable.\n\nYou have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems.\n\nShared Qualities\nStrong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products.\n\nA passion for being on the frontier of AI products.\n\nHigh agency and a bias to action in a high-autonomy environment.\n\nDegree in Computer Science or related field, or equivalent professional experience.\n\nEven better...\nDeep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing.\n\nExperience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data.\n\nProduction experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking).\n\nA track record of leading complex technical projects or mentoring other engineers.\n\nOur values\nTrust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.\n\nCustomer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.\n\nCraftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.\n\nIntensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.\n\nFamily: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.\n\nWhat we offer\nWe want our benefits to reflect our values and offer the following to full-time employees:\nFlexible (unlimited) paid time off\n\nMedical, dental, and vision benefits for you and your family\n\nLife insurance and disability benefits\n\nRetirement plan dependent on country of employment\n\nParental leave\n\nFertility and family building benefits through Carrot\n\nLunch, as well as delicious snacks and coffee to keep you energized\n\nDiscretionary benefit stipend giving people the ability to spend where it matters most\n\nFree alphorn lessons\n\nThese benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.\nBe you, with us\nWe're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.","description_format":"text","description_chars":7719,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["LLM & Generative AI","Conversational AI","AI Agents"],"lifecycle":[{"event":"open","at":"2026-06-05T18:26:10Z"}],"visa":[],"liveness":{"score":24,"band":"cold","label":"Long shot","p_open":1,"p_active":0.659,"p_room":0.36,"age_days":139,"expected_fill_days":91,"reasons":["conf:0","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":390000,"is_top_pay":true},"html_url":"https://alion.io/job/sierra-software-engineer-context-engine","json_url":"https://alion.io/job/sierra-software-engineer-context-engine.json","meta":{"generated_at":"2026-10-23T10:47:25Z","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":16396,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"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":37541},"rest":"https://alion.io/mcp/rest/get_company?id=37541"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsierra-software-engineer-context-engine"},{"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%2Fsierra-software-engineer-context-engine"},{"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%2Fsierra-software-engineer-context-engine"},{"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/sierra-software-engineer-context-engine\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsierra-software-engineer-context-engine"}]}