Sr. Analytics Engineer - Data Warehouse (Hybrid, Bangalore)

For over 20 years, Smartsheet has empowered teams to manage work seamlessly and scale solutions smarter. Now, in our most ambitious chapter yet, we are uniting human teams with AI agents. By orchestrating the work agents do best, automating manual tasks and uncovering insights at scale, we create the space for people to focus on what truly matters: judgment, creativity, and big thinking. That is magic at work, and it’s what we show up for every day. Smartsheet is looking for a Sr. Principal Data Scientist to set the technical direction for the ML models and AI sub-agents that drive growth, monetization, efficiency, and retention across the customer lifecycle. You’ll architect the systems, define the modeling and evaluation standards, and shape the roadmap for how Smartsheet uses applied ML and agentic AI to serve millions of customers. The data is unusually rich: petabyte-scale execution data spanning two decades of how real work gets done. You are a recognized technical leader who moves fluidly between architecture, prototype, and production; raises the bar for the data scientists around you; and partners with senior product and engineering leaders to make decisions that compound across the org. You will work primarily with Product and Engineering and will be a part of Smartsheet’s Business Intelligence team. This full-time position reports to the Director of Data Science and is based in Smartsheet’s Bengaluru, India office. You Will: * Set the technical direction for how Smartsheet uses applied ML and agentic AI across the customer lifecycle — what gets built, what doesn’t, and what good looks like * Architect the systems behind the sub-agents: how they ground themselves in evidence, how risk and confidence are calibrated, how decisions are evaluated, and how all of it stays safe and trustworthy at scale * Define the modeling, evaluation, and experimentation standards the team follows — from offline metrics to online rollout to production monitoring * Personally ship the highest-leverage models and sub-agents — the ones that need a senior IC to frame the problem, push through ambiguity, and de-risk the approach * Drive technical decisions on the data foundations and knowledge layer sub-agents reason over, with strong stewardship of privacy, aggregation, and customer trust * Partner with senior Product, Engineering, and Applied AI leaders to shape strategy, roadmap, and investment * Raise the bar for the data science team — mentor staff and principal data scientists, review designs, set hiring standards, and grow the org’s modeling rigor   You Have: * Bachelor’s degree and 12+ years of experience (or 14+ years of experience); advanced degree in a quantitative field (Statistics, CS, ML, Economics, Operations Research, or similar) strongly preferred * Track record of setting technical direction for applied ML and AI work that ships and matters — major initiatives, complex systems, or new modeling paradigms taken from idea to production impact * Deep applied ML expertise across both traditional ML and deep learning: gradient boosting, regularized linear models, transformer-based sequence models, foundation model embeddings, causal ML, contextual bandits, and offline RL * Architect-level grasp of agentic AI systems: tool use, retrieval, multi-step reasoning, evaluation, guardrails, and the patterns for keeping all of it reliable in production * Strong grasp of causal inference for intervention design and lifecycle modeling: uplift modeling, difference-in-differences, propensity scoring, and synthetic control * Solid foundation in statistics and experimental design at scale: hypothesis testing, power analysis, multiple comparisons, sequential testing, and quasi-experimental methods * Experience operating ML in production at scale — feature engineering and pipelines, model monitoring, drift detection, retraining cadence, and the trade-offs between batch and real-time serving * Proficient in SQL and Python; comfort with ML/LLM tooling at scale (Spark, Databricks, Snowflake, or equivalents), ML frameworks (PyTorch, scikit-learn, XGBoost/LightGBM), and visualization tools (Tableau or similar) * Experience leading lifecycle modeling work — churn, expansion, adoption, plan health, lead/account scoring — and business fluency in the SaaS metrics that drive it (NRR, GRR, ARR, and cohort economics) * A pragmatic production bar: latency, cost, monitoring, drift, hallucination, and what happens when the model or sub-agent is wrong * Demonstrated ability to influence senior product and engineering leaders and to mentor staff and principal data scientists — your track record shows people and decisions, not just models, getting better * Comfort operating in deep ambiguity — defining the problem, choosing the approach, and aligning the team when no playbook exists     Get to Know Us: At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together. Equal Opportunity Employer: Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, India, and Singapore. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.  If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.   #LI-Remote

Title: Software Engineer Location: Austin, TX (Hybrid) Reporting to: Sr. Manager, Engineering About Hippo: Hippo was built on a promise: make homeownership effortless. Nearly a decade later, that mission still drives us. We use technology and data to help our customers stay ahead of problems and protect what matters most.   Today, that same tech-native approach powers our work beyond homeowners. Hippo operates as a diversified carrier platform, partnering with MGAs to deliver tailored program solutions that help them grow and deliver better customer experiences. Behind that work is a team that values ownership, curiosity, collaboration, and continuous improvement.  If you're energized by building what's next, we'd love to meet you.  About This Role:  Hippo is building effortless and trusted customer experiences powered by AI, and this role sits at the center of it. You'll build the integrations that power AI voice, chat, and email agents, connecting conversational AI platforms to Hippo's infrastructure. Your work shows up on live customer interactions : when a policyholder calls in to verify coverage, file a claim, or get routed to the right place, the systems you build are what makes that happen.  This is not a maintenance role. We are actively shipping new agent capabilities and innovating on the insurance lifecycle with AI. You'll work directly with external AI vendors, own integrations across a growing multi-system stack, and grow into a role where you’re an active thought partner into how Hippo thinks about AI implementation. About You: You're a backend engineer who gets energized by making complex systems work together. You're comfortable picking up a vendor SDK with incomplete documentation and figuring it out. You move fast in a proof-of-concept phase and still build things that hold up in production. You care about how your code performs over time; you instrument what you ship, track the metrics that matter, and tie your engineering work to real business outcomes.  You're early in your career but think like an owner. You want to be in a small team where your work is visible, and your growth path is real. You understand that integration engineering means living in the seams between systems.  This role involves fast-moving vendor ecosystems, running pilots and experiments, and working through ambiguity to deliver for customers and our business.   What You'll Do  * Build and extend AI agent capabilities across service, claims, and operations on industry leading conversational AI platforms * Develop and maintain APIs that connect AI vendors to Salesforce, Snapsheet, NICE, and Auth0 * Participate in vendor evaluation spikes — build proofs-of-concept, document findings, and contribute to go/no-go decisions on new platforms * Build data export pipelines from AI vendor platforms into the data warehouse, designed with downstream analytics consumption in mind * Instrument your integrations with meaningful metrics and contribute to cost-to-serve reporting   * Contribute to go-live operations: routing configuration, traffic management, and fallback validation   * Participate in OnCall rotation for incidents during US business hours * Grow under the mentorship of senior and staff engineers you collaborate with daily  Must Haves  * 3+ years of backend engineering experience * Proficiency in TypeScript/Node.js and/or Python — these are the primary languages of the stack * Demonstrated experience building and consuming RESTful APIs in service-oriented architectures * Postgres or equivalent relational database experience * AWS experience (general cloud infrastructure, deployment, and tooling) * Comfort working with third-party vendor SDKs and APIs, including ones with limited or evolving documentation * Strong debugging instincts across distributed and multi-service systems * Familiarity with test-driven development principles; eager to grow into owning integration and contract test coverage * Metric-driven mindset — you measure the impact of what you ship and design systems with observability in mind * Bachelor's degree or equivalent in Computer Science, Software Engineering, or a related technical field  Nice to Haves  * Prior experience in insurance, Insurtech, or adjacent regulated industries  * Salesforce integration experience * Experience with NICE CXOne or other contact center platforms * Familiarity with conversational AI platforms   Benefits and Perks Hippo treats its team members with the same level of dedication and care as we do our customers, which is why we’re fortunate to provide all of our Hippos with: * Healthy Hippos Benefits - Multiple medical plan options, 100% covered dental and vision for you and your family, and a wellness program that rewards healthy habits. We also offer a 401(k)-retirement plan, short & long-term disability, employer-paid life insurance, Flexible Spending Accounts (FSA) for health and dependent care, and an Employee Assistance Program (EAP) * Equity - This position is eligible for equity compensation  * Training and Career Growth - Training and internal career growth opportunities * Flexible Time Off - You know when and how you should recharge * Little Hippos Program - We offer 12 weeks of parental leave for primary and secondary caregivers * Hippo Habitat - Snacks and drinks available and catered lunches for onsite employees Hippo is an equal opportunity employer, and we are committed to building a team culture that celebrates diversity and inclusion. Hippo’s applicants are considered solely based on their qualifications, without regard to an applicant’s disability or need for accommodation. Any Hippo applicant who requires reasonable accommodations during the application process should contact the Hippo’s People Team to make the need for an accommodation known.  Hippo CCPA [https://s3-us-west-2.amazonaws.com/hippo-document-prod/legal+/HIPPO-HRPrivacyNotice.pdf]