{"id":121459,"url":"https://alion.io/job/outreach-staff-applied-scientist-knowledge-graphs-ai","title":"Staff Applied Scientist - Knowledge Graphs & AI","company":{"id":15919,"name":"Outreach","domain":"outreach.ai","url":"https://alion.io/company/outreach","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":79,"open_postings":6,"ghost_share":0,"stale_share":0.833,"repost_share":0,"time_to_fill_p50_days":50,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":71000,"period":"year","method":"role_seniority_country_cell","sample_n":17},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Embeddings","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Neo4j","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false}],"status":"live","first_seen_at":"2026-07-03T10:47:02Z","employer_posted_date":"2026-07-03","last_verified_at":"2026-10-27T05:35:08Z","board_verified":true,"closed_at":null,"days_open":115,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":115},"description":"About the job:\nWe are looking for an Applied Scientist to join a dynamic and innovative AI platform team that is pushing the boundaries of what's possible in sales execution. If you are passionate about applying cutting-edge research in knowledge graphs and reasoning systems to real-world problems at scale, this is an exceptional opportunity to shape a core piece of Outreach's AI architecture from the ground up. \nOur team is building a per-tenant contextual knowledge graph that captures the full complexity of each customer's sales environment: accounts, deals, contacts, rep behaviors, competitive landscape, and the signals buried in calls, emails, and CRM activity. This graph powers contextual reasoning across the platform, driving next-best-action recommendations, deal risk signals, coaching suggestions, and competitive intelligence. In this pivotal role, you will design the underlying representations, extraction pipelines, and reasoning layers that make this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on revenue outcomes. \nYour Daily Adventures Will Include:\nKey Responsibilities:\nKnowledge Graph Design & Construction: Architect and evolve per-tenant knowledge graph schemas, including entity resolution, temporal modeling, and ontology design tailored to sales execution domains.\nInformation Extraction: Architect NLP pipelines that extract structured knowledge from unstructured conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction, and event detection.\nContextual Reasoning & Recommendation: Design reasoning and inference layers over the knowledge graph to power next-best-action suggestions, deal risk scoring, coaching recommendations, and competitive intelligence surfaces.\nRepresentation Learning: Design and train graph-based models (GNNs, relational embeddings, link prediction) over heterogeneous, multi-relational graph structures to support downstream reasoning and retrieval tasks. Diagnose and address embedding quality issues including cold-start entities, and temporal drift. \nDomain Modeling: Formalize sales execution concepts such as deal stages, buyer engagement patterns, rep behaviors, and account health, into structured representations that ground the platform's AI capabilities. Extract ontology structure. Lead ontology versioning and migration. \nCross-functional Collaboration: Partner with engineering, product, and data teams to bring models from prototype to production, ensuring reliability and measurable impact at scale. \nOur Vision of You:\nQualifications:\nPhD in a relevant field such as Computer Science, NLP, Machine Learning, or a related discipline with a focus on knowledge representation and reasoning, information extraction and relationship extraction, graph neural networks, recommendation systems, or conversation AI and dialogue systems.\nStrong engineering fundamentals. You can write production-quality code, not just prototype notebooks. Proficiency in Python; and graph databases or query languages (e.g., Neo4j, SPARQL, Cypher) is required.\nComfort with ambiguity. You can take a vague product goal and decompose it into concrete technical problems. You don't need a fully scoped spec to start making progress.\nA track record of building things: whether that's research prototypes that went beyond the paper, open-source contributions, or side projects that required real systems thinking. You understand the gap between a research prototype and a reliable production system, such as monitoring, data drift, latency, and operational excellence.\nStrong Ownership: Take end-to-end responsibility for research and model development initiatives, from problem formulation and data analysis through experimentation, production deployment, and ongoing performance monitoring, driving outcomes with minimal oversight.\nStrong communication skills with the ability to translate research concepts into product impact for cross-functional audiences.\nExperience mentoring or leading technical work. You've helped junior team membersgrow and have driven cross-team technical decisions.\nNice to Have:\n2+ years of hands-on experience applying knowledge graphs or graph-based learning methods to real-world data in a production setting.\nStrong fundamentals in at least two of: knowledge graph construction, information extraction, graph neural networks, or recommender systems. \nExperience working with large-scale unstructured text data (conversational transcripts, email, or similar)\nExperience with probabilistic graphical models, conversational AI, or sales/revenue domain data\nPublished research at top-tier venues\nWhy Join Us?\nGreenfield Architecture: Shape the design of a core AI system from the ground up, with the latitude to make foundational technical decisions that define the platform.\nDepth That Matters: This role genuinely requires PhD-level thinking; you will tackle problems in entity resolution, temporal reasoning, and graph learning that demand it.\nApplied Impact: Work with real production feedback loops and millions of sales interactions, not just benchmarks; see your models change how thousands of teams sell.\nHigh Leverage, Low Bureaucracy: Join a small, senior team where your contributions are visible, your ideas ship fast, and you have direct access to leadership.\nCareer Growth: Opportunity to lead initiatives and mentor engineers.","description_format":"text","description_chars":5500,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Sales Enablement","Marketing & Sales AI"],"lifecycle":[{"event":"open","at":"2026-07-03T10:47:02Z"}],"visa":[],"liveness":{"score":18,"band":"cold","label":"Long shot","p_open":1,"p_active":0.659,"p_room":0.28,"age_days":115,"expected_fill_days":50,"reasons":["conf:0","velocity","win:tail","crowd:"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/outreach-staff-applied-scientist-knowledge-graphs-ai","json_url":"https://alion.io/job/outreach-staff-applied-scientist-knowledge-graphs-ai.json","meta":{"generated_at":"2026-10-27T08:24:37Z","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":9282,"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":15919},"rest":"https://alion.io/mcp/rest/get_company?id=15919"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Foutreach-staff-applied-scientist-knowledge-graphs-ai"},{"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%2Foutreach-staff-applied-scientist-knowledge-graphs-ai"},{"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%2Foutreach-staff-applied-scientist-knowledge-graphs-ai"},{"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/outreach-staff-applied-scientist-knowledge-graphs-ai\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Foutreach-staff-applied-scientist-knowledge-graphs-ai"}]}