Staff Data Scientist - Agentic AI

This is a hybrid position, which will require the ability to be onsite in our Bengaluru, India office as needed. Candidates must be based in India.

Clari + Salesloft are building the next era of enterprise revenue — one where teams make confident decisions powered by AI and real signals. By combining our scale, insights, and AI innovation, we’re building the industry’s first Predictive Revenue System, enabling humans and AI to work together to make smarter decisions and drive consistent growth.

With thousands of customers using our platforms every day, we have an unmatched view into how revenue is actually won — the Revenue Context that reveals what happens, when, and with what outcome. This gives us a unique opportunity to transform an entire category and set a new benchmark for how modern revenue teams operate.

At Salesloft, our Staff Data Scientist will be a hands-on builder of production AI agents - not a researcher who experiments with agent frameworks on the side. You will be a key member of our fast-growing, high-performing team in India, owning the components that turn an LLM call into a reliable, autonomous system that can reason, act, and recover in production. 

• Agent Architecture & Technical Strategy: Define the roadmap for our agentic AI stack => the execution loop, harness, memory, and tool/skill layers. And decide when an agent, a classical model, or a hybrid is the right tool for a given revenue problem.
• Production Agent Engineering: Build and operate the core components of our agents end-to-end: the reasoning/execution loop, the harness that manages tool calls, retries, timeouts and session state, short- and long-term memory, and the skill/tool registry agents draw on (via MCP-style tool calling).
• Planning & Multi-Step Reasoning: Design task-decomposition and planning strategies (evidence-based planning, plan-execute, multi-hop reasoning, research and many more) so agents can coach sellers, inspect deals, raise Forecast risks, update CRMs autonomously and correctly, and perform next best action to save the opportunity from slipping and many more.
• Guardrails, Trust & Evaluation: Own the evaluation framework for agentic behavior - offline eval, LLM-as-judge, and online A/B testing plus the guardrails (input/output validation, policy and safety checks) that keep agents reliable at enterprise scale.
• GenAI & Revenue Modeling: Apply rigorous statistical and time-series methods to our core revenue models (Forecasting, Deal Health, Risk Prediction), and connect them into agentic workflows where appropriate.
• Multi-Agent & Cross-System Coordination: Design how agents talk to sub-agents and other systems (Agent-to-Agent style communication, tool/skill registries shared across agents), so capability is composed rather than rebuilt per use case.
• Cross-Functional Technical Leadership: Partner with Product and Engineering leadership to translate business objectives into concrete agent designs, and serve as the technical anchor who can explain agent behavior and failure modes to non-technical stakeholders.
• Mentorship & Culture: Mentor senior data scientists on agent-building discipline — not just prompting — and foster a culture of rapid experimentation paired with production rigor.
• Enablement: Contribute to internal documentation, onboarding, and training on our agent components and patterns, promoting platform adoption across teams.

In addition to working with amazing colleagues who exemplify our ‘team over self’ core value, you will also have the opportunity to work on impactful and revolutionary software that is changing the way sellers sell. You will have an opportunity to make a difference. 

We are seeking a Staff Data Scientist who has already spent real time building agents in production - someone who has hit the hard edges of memory, tool-calling, and reliability at scale, and knows how to design around them. If you're looking for an opportunity to learn more, do more, and become more by working alongside a highly motivated and skilled team and to own the agentic core of an enterprise AI platform, this is the career path for you.

Salesloft’ s goal is to build the world's first AI driven Predictive Revenue System. The Applied AI Engineering team is at the core of it to supply the AI platforms that are needed to build AI driven products.

The Engineering Team at Clari + Salesloft is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.

• Experience: 8+ years in Data Science or Machine Learning, of which at least 2-3 years must be hands-on building and operating production AI agents (Staff/Lead experience preferred).
• Agentic AI - Component Depth: Practical, production experience.
• Core ML & Stats: Deep expertise in Classical ML (XGBoost, Causal Inference), Time-Series Forecasting, and Deep Learning fundamentals - you understand the math behind the models, not just how to import libraries.
• Generative AI Foundations: Proficiency with modern agent/LLM frameworks (LangChain, LlamaIndex, DSPy, or equivalent in-house harnesses), vector databases (Pinecone, ElasticSearch), and techniques like fine-tuning (PEFT/LoRA) and RAG optimization.
• Engineering First: Confident in Python. You are open and skilled to write production-ready code (modular, tested, typed).
• System Design for Agents: Ability to design end-to-end agentic systems and articulate trade-offs between reasoning depth, latency, cost per agent turn, and reliability - and make architectural decisions that hold up at enterprise scale.
• Education: MS or PhD in Computer Science, Statistics, Physics, Math, or an equivalent quantitative field is preferred.

• 2-3 years of hands-on experience building and deploying AI agents in production — not experimenting with agent frameworks, building demos, or wrapping a single prompt with a tool call.
• Demonstrated ownership of multiple agent components: the reasoning/execution loop, the harness (tool-calling, retries, timeouts, session/state management), memory (short-term context + long-term/episodic), the skill or tool registry, planning/task-decomposition, guardrails, and evaluation.
• A distinct, verifiable data science or ML background (statistics, modeling, or applied ML) prior to or alongside the agent work - this is a Staff Data Scientist role, not a pure agent/backend engineering role.

At Clari + Salesloft, we are committed to creating an inclusive and supportive workplace where everyone belongs and can thrive. We focus on culture add, not culture fit, and believe our teams are made stronger by the unique perspectives, experiences, and identities each person brings.

We are proud to be an Equal Opportunity Employer and provide employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, pregnancy, or any other characteristic protected by law.

If you’re excited about this role even though your experience may not perfectly match every requirement, we encourage you to apply. We are actively hiring across multiple geographies and would love to welcome passionate, curious, and mission-driven individuals to our growing team. Explore our open roles and consider joining us!

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