Sr. Data Scientist - Agentic AI Bangalore, India

Join Clari + Salesloft to build the world’s first Predictive Revenue System. Here, you’ll unite human ingenuity with Revenue AI to redefine how global companies run and grow.

Job Title: Sr 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."

ABOUT THE COMPANY

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.

Join us to help transform how companies around the world run revenue — and build the platform that will guide leading revenue teams into the future.

THE OPPORTUNITY

At Clari + Salesloft, our Sr Data Scientist will be pivotal to our company’s success. Our Sr Data Scientist will be a hands‑on builder, someone who takes an ambiguous agentic AI problem, turns it into a working prototype, implements it, and partners with engineering to get it into production. This is an execution role: you will spend most of your time prototyping, building eval. On a day‑to‑day basis, you will:

• Prototype fast: Turn a rough problem statement ("can we auto-summarize this deal", "can an agent update this CRM field safely") into a working prototype - RAG pipeline, LLM‑based Inferences, or an agent - within days, not weeks.
• Implement for real: Take your own prototypes from notebook to production‑quality Python code, tested, typed, and reviewable.
• Ship with engineering: Partner with the platform engineers who own the harness and infra to get your work live. You don't need to design the harness, but you need to understand it well enough to build within it and debug when something breaks.
• Own eval for all AI work: Build and run the evaluation for what you ship - offline eval sets, LLM‑as‑judge checks, and tracking regressions before and after changes.
• Use the right tool for the job: Apply classical NLP/ML where it's the better fit, and LLM‑based approaches where they're not. You should have real judgment from having done both.
• Learn and adapt fast: Pull in proof‑of‑concepts, tests, and external research when the path isn't obvious, and course‑correct quickly rather than waiting for direction.

In addition to working with amazing colleagues who exemplify our 'team over self' core value, you will have the opportunity to build impactful, revolutionary software that is changing the way revenue is predicted.

WHAT WE’RE LOOKING FOR

We're looking for a builder, not a manager‑in‑waiting. Someone who has spent the last 2-3 years genuinely shipping LLM‑based inference, RAG, or agent work (frameworks, sometimes multi‑agent) after 2-3 years of solid core NLP‑driven data science before that. If you'd rather be hands‑on‑keyboard turning ambiguous problems into working software, this is the career path for you.

THE TEAM

Clari + Salesloft's goal is to build the world's first AI‑driven Predictive Revenue System. The Applied AI Engineering team supplies the AI platform, the harness, memory, retrieval, and tooling layers, that our agents and models run on. This role sits alongside that platform team as an execution‑focused builder: taking the platform's building blocks and turning them into shipped, evaluated agentic capabilities for revenue teams. If you're energized by fast prototyping, real production ownership of your own work, and close collaboration with the engineers who run the platform underneath you, we'd love to meet you.

• Vision: Fundamentally transform the way buyers and sellers drive repeatable outcomes
• Mission: Bring science to the art of sales

THE SKILL SET

• Experience: 6-8 years total, including 2-3 years hands‑on in agentic AI and 2-3 years in core NLP/DS before that.
• Agentic AI - Hands‑On Build List: Real, personal build experience with:
• LLM‑based inference and Q&A systems in production
• RAG platforms — retrieval pipelines, chunking, tuning for relevance
• Agents built with an existing framework (LangChain, LlamaIndex, DSPy, or an in‑house harness)
• Evaluation - offline eval sets, LLM‑as‑judge, regression tracking for what you ship
• Guardrails - input/output validation on your own agent's actions
• Multi‑agent systems, MCP‑style tool registries, Agent‑to‑Agent (A2A) coordination [good to have]
• Graph RAG / knowledge‑graph‑backed retrieval [good to have]
• Core NLP & ML Foundations: 2-3 years working in classical NLP/DS - text classification, NER, embeddings, feature engineering, before moving into LLM‑era work. You should be able to say why a classical approach beats an LLM for a given problem, not just default to the LLM.
• Engineering First: Strong Python and SQL; you write production‑ready code (modular, tested, typed) and are comfortable in a normal engineering workflow (Git, Docker, CI/CD).
• Production Partnering: Understands staged/canary‑style promotion of a model or agent change. You gate a rollout on your own eval results and know how to flag risk early rather than let engineering discover it in production.
• Judgment Over Scope: Scopes your own small‑to‑medium piece of work into clear milestones, gets unblocked without much oversight, and knows when to ask for help versus push through.

Education: Bachelor's or Master's in Computer Science, Statistics, Math, or an equivalent quantitative field. An advanced degree is a plus but not required, trajectory and hands‑on depth matter more here than pedigree.

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!

#LI-Hybrid

Why Build Your Career Here?

• Innovate at scale: Work with cutting‑edge AI to solve the most complex challenges for revenue organizations.
• Global collaboration: Join a diverse team of bold thinkers and builders across the globe.
• Direct impact: See your work move the needle for the world's most ambitious companies.

I most enjoy problem‑solving with my team. Every day is different and challenging. It’s so rewarding to be a part of building a solution that makes people’s lives better and helps them achieve their goals.

Senior Product Manager

Someone once told me that for a job to be fulfilling, you need three things — leadership you believe in, culture you align with, and work that matters. Salesloft delivers with all three. The executive team listens, supports, and defines direction. The culture is one where core values are a priority, not an afterthought. And the mission is one I'm passionate about and trust in.

Rebby John Sr. Director, Global Sales Engineering

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Total Support for Life and Work

We provide the resources you need to thrive—personally and professionally. Our global benefits are designed to meet you where you are, supporting your health, your family, and your future.

• Generous PTO and parental leave
• Fertility, family, and parenting benefits
• Mental health support
• Wellness and professional stipends