Senior AI Engineer

WHO WE ARE

Xactly is a leader in Sales Performance Management Solutions and a part of Vista Equity Partners portfolio companies since 2017. The Xactly Intelligent Revenue Platform helps businesses improve go-to-market outcomes through increased collaboration, greater efficiencies, and connecting data from all critical functions of the revenue lifecycle on a single platform. Born in the cloud almost 20 years ago, Xactly provides customers with extensive experience in solving the most challenging problems customers of all sizes face, backed by almost 20 years of proprietary data and award-winning AI.

Named among the best workplaces in the U.S. by Great Place to Work six times, honored on FORTUNE Magazine’s inaugural list of the 100 Best Workplaces for Millennials, and chosen as the “Market Leader in Incentive Compensation” by CRM magazine. We’re building a culture of success and are looking for motivated professionals to join us!

THE OPPORTUNITY

Join us as we build out our AI Labs team as a Senior AI Engineer where you’ll be working alongside a visionary Head of AI Labs based in the U.S. This is your change to shape the future of enterprise AI from our Bengaluru hub where you’ll be designing, prototyping and testing cutting edge Generative AI solutions that redefine how businesses operate.

You’ll collaborate closely with global stakeholders to bring bold ideas to life - building rapid experiments, iterating with real customer feedback and turning proof-of-concepts into platform-ready innovations. If you’re passionate about pushing the boundaries of applied AI and your work to have real, tangible impact, this is the opportunity for you.

RESPONSIBILITIES

• Conduct rapid prototyping and experimentation to explore new AI opportunities and validate hypotheses.

• Design, build, and deploy AI/GenAI-powered features that enhance core SPM capabilities such as incentive planning, quota optimization, territory alignment, and sales forecasting.

• Integrate LLMs (e.g., GPT, Claude, Llama) into our SaaS platform to power intelligent assistants, report generation, and conversational interfaces.

• Develop and fine-tune GenAI & ML models for predictive analytics (e.g., attrition risk, attainment forecasting, gamification insights).

• Work with product managers and UX designers to conceptualize AI-first features that deliver measurable business impact.

• Collaborate with data engineering teams to ensure high-quality data pipelines and model serving infrastructure.

• Research and experiment with cutting-edge GenAI approaches (e.g., RAG, fine-tuning, prompt engineering) to solve enterprise-specific problems.

• Monitor model performance in production and continuously improve for accuracy, scalability, and fairness.

• Collaborate with data engineers to ensure the availability of high-quality, relevant data for AI model training and inference.

• Seamlessly integrate AI/ML models and functionalities into our existing SaaS enterprise platform, ensuring high performance, reliability, and scalability.

QUALIFICATIONS

• Bachelor’s or Master’s degree in Computer Science, AI/ML, Data Science, or related field.

• 6+ years of experience in AI/ML, with at least 1 year working with GenAI or LLMs.

• Strong programming skills in Python/Java, with experience using libraries like Transformers, LangChain, PyTorch, TensorFlow and Scikit-learn.

• Experience integrating AI/ML models intoSaaS platforms at scale.

• Familiarity with cloud platforms (AWS, Azure, GCP) and AIOps/MLOps practices for model deployment, monitoring and lifecycle management..

• Experience with RAG pipelines, vector databases (e.g., FAISS, Pinecone), and embedding models

• Strong understanding in natural language processing (NLP) and deep learning techniques.

• Proficient in SQL and experience working with large datasets in relational and/or NoSQL databases.

• Excellent communication and collaboration skills, with the ability to explain complex technical concepts to cross-functional stakeholders.

PREFERRED QUALIFICATIONS

• Knowledge of sales performance processes (e.g., compensation modeling, quota setting, sales analytics).

• Experience working in a fast-paced innovation lab or startup environment.

• Hands-on experience with prompt engineering and LLM APIs (OpenAI, Anthropic, etc.).

• Strong intuition for experimentation, prototyping and rapid iteration.

• Comfort with ambiguity and ability to thrive in an exploratory R&D setting.

• Ability to collaborate effectively with global teams and communicate technical concepts clearly.

• Familiarity with data governance, responsible AI practices, and enterprise security protocols.

• Experience with real-time AI inference and streaming data.

• Contributions to open-source AI/ML projects.

BENEFITS & PERKS

• Paid Time Off (PTO)

• Comprehensive Health and Accidental Insurance Coverage

• Tuition Reimbursement

• XactlyFit Gym/Fitness Program Reimbursement

• Free snacks onsite(if you work in office)

• Generous Employee Referral Program

• Free Parking and Subsidized Bus Pass (a go-green initiative!)

• Wellness program

OUR VISION: Unleashing human potential to maximize company performance. We address a critical business need: to incentivize employees and align their behaviors with company goals.

OUR CORE VALUES: Customer Focus | Accountability | Respect | Excellence (CARE) are the keys to our success, and each day we’re committed to upholding them by delivering the best we can to our customers.

Xactly is proud to be an Equal Opportunity Employer. Xactly provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law. This means we believe in celebrating diversity and creating an inclusive workplace environment, where everyone feels valued, heard, and has a sense of belonging. By doing this, everyone in the Xactly family has the power to make a difference and unleash their full potential.

We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us.