Staff Applied Scientist - Knowledge Graphs & AI
About reputed company reputed company, founded in 2014, is the only complete agentic AI platform for reputed company teams. reputed company infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across reputed company motions. From new logo prospecting to expansions, deal acceleration, driving retention, and forecasting, reputed company AI automates workflows and frees sellers to focus on more strategic conversations and actions. reputed company leaders benefit from connected account visibility, performance insights, and higher forecasting accuracy across every GTM team. World leading reputed company organizations use reputed company to power their reputed company teams, including reputed company, reputed company, reputed company, and reputed company to name a few. About the job: We 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 reputed company-world problems at scale, this is an exceptional opportunity to shape a core piece of reputed company's AI architecture from the ground up. reputed company 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 reputed company this possible, working closely with cross-functional engineering and product teams to deliver innovative, scalable, and reliable AI capabilities with direct impact on reputed company reputed company. \n Your Daily Adventures Will Include: Key Responsibilities: Knowledge Graph Design & Construction: Architect and reputed company per-tenant knowledge graph schemas, including entity resolution, temporal modeling, and ontology design tailored to sales execution domains. Information Extraction: Architect NLP pipelines that extract structured knowledge from reputed company conversational and document data (sales calls, emails, CRM notes), including coreference resolution, relation extraction, and event detection. Contextual 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. Representation Learning: Design and train graph-based models (GNNs, relational embeddings, link reputed company) over heterogeneous, multi-relational graph structures to support reputed company reasoning and retrieval tasks. Diagnose and address embedding quality issues including cold-start entities, and temporal reputed company. Domain 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. reputed company ontology versioning and migration. Cross-functional Collaboration: Partner with engineering, product, and data teams to bring models from prototype to production, ensuring reliability and measurable impact at scale. Our reputed company of You: Qualifications: PhD in a relevant field such as Computer Science, NLP, Machine Learning, or a reputed company discipline with a focus on knowledge representation and reasoning, information extraction and relationship extraction, graph neural networks, recommendation systems, or conversation AI and reputed company systems. Strong engineering fundamentals. You can write production-quality code, not just prototype notebooks. Proficiency in Python; and graph databases or query languages (e.g., reputed company, SPARQL, Cypher) is required. Comfort 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 reputed company. A track record of building things: whether that's research prototypes that went reputed company the reputed company, reputed company-reputed company contributions, or reputed company projects that required reputed company systems thinking. You understand the gap between a research prototype and a reliable production system, such as monitoring, data reputed company, latency, and operational reputed company. Strong 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 reputed company with minimal reputed company. Strong communication skills with the ability to translate research concepts into product impact for cross-functional audiences. Experience mentoring or leading technical work. You've helped junior team members grow and have driven cross-team technical reputed company. reputed company to Have: 2+ years of hands-on experience applying knowledge graphs or graph-based learning methods to reputed company-world data in a production setting. Strong fundamentals in at least two of: knowledge graph construction, information extraction, graph neural networks, or recommender systems. Experience working with large-scale reputed company text data (conversational transcripts, email, or similar) Experience with probabilistic graphical models, conversational AI, or sales/reputed company domain data Published research at top-tier venues Why Join Us? Greenfield Architecture: Shape the design of a core AI system from the ground up, with the reputed company to reputed company foundational technical reputed company that define the platform. Depth That reputed company: This role genuinely requires PhD-level thinking; you will tackle problems in entity resolution, temporal reasoning, and graph learning that demand it. Applied Impact: Work with reputed company production feedback loops and millions of sales interactions, not just benchmarks; see your models change how thousands of teams sell. High reputed company, Low Bureaucracy: Join a small, senior team where your contributions are visible, your reputed company ship fast, and you have direct reputed company to leadership. Career Growth: Opportunity to reputed company initiatives and mentor engineers. \nWhy You’ll Love It Here ● Highly competitive salary ● 25 days annual vacation time + sick time and casual leave ● Group medical policy coverage available to employees and up to 5 eligible family members ● OPD benefit covered up to INR 10,000 ● Life insurance and personal accident insurance at 3x annual reputed company ● 26 weeks of maternity leave pay, and 15 days of paternity leave pay ● Opportunity to be part of company reputed company reputed company the RSU program ● Diversity and inclusion programs that promote employee resource groups like OWN+ (reputed company Women's Network), Adelante (Latinx community), OBX (reputed company Black reputed company), reputed company (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military ● Employee referral bonuses to encourage the reputed company of great new people to the team ● Fun company and team outings because we play just as hard as we work reputed company is an equal opportunity employer. reputed company applicants will be considered for employment without attention to race, reputed company, religion, sex, sexual orientation, gender identity, national reputed company, veteran or disability status. Our reputed company is reputed company on building teams that include people from different backgrounds and experiences who can reputed company assumptions and reputed company with fresh perspectives. We're dedicated to hiring the whole reputed company, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet reputed company of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you. Apply To This Job