Job Title: Mgr, Engineering

Location: India, Hybrid

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 Mgr, Engineering will be pivotal to our company's success. You will be a key member of our fast-growing and high-performing team in India. We are looking for experienced Mgr, Engineering who can help realize Clari + Salesloft vision with their passion and proven track record of excellence and innovation. We are looking for an Mgr, Engineering who is passionate about their work and who thrive working on leading-edge cloud-based technologies to develop ground-breaking AI-driven enterprise-grade applications.

On a day-to-day basis, you will be responsible to -

Product & Delivery

Own product roadmap execution: Partner with Product and Data Science to translate customer needs into shipped features
Drive cross-functional collaboration: Align priorities with Platform and GTM teams to deliver measurable impact
Balance speed with quality: Scope features, manage commitments, and ship what matters most

Architecture & Technology

Drive technical strategy: Make architecture decisions for LLM-powered systems at scale—balancing innovation with production reliability
Set GenAI direction: Evaluate new capabilities, guide build vs. buy decisions, and optimize for cost/quality trade-offs
Manage technical health: Address tech debt and ensure systems remain scalable, maintainable, and secure

People & Leadership

Lead high-performing teams: Build and grow engineering teams shipping production AI systems used by thousands of customers
Develop your people: Conduct 1:1s, career development, performance reviews, and create growth paths for engineers at all levels
Drive hiring excellence: Source, interview, and close exceptional talent across SDE-2 through Staff levels

Process & Operational Excellence

Champion engineering excellence: Establish best practices for code quality, testing, evaluation frameworks, and operational rigor
Track what matters: Drive operational metrics including team velocity, system reliability, AI quality, and SLA adherence
Optimize team delivery: Unblock engineers, allocate resources effectively, and maintain sustainable velocity

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

WHAT WE'RE LOOKING FOR:

We are looking for a talented Engineering Manager with a strong engineering background, leadership skills, and a penchant for solving complex technical problems. If you enjoy working with teams that are small, incredibly impactful, highly-motivated, engaged, and empowered to make a difference then read on.

If you're looking for an opportunity to learn more, do more, and become more, then becoming an Engineering Manager 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 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.

THE SKILL SET:

Must Have

Foundation:

8+ years software engineering with 2+ years engineering management (teams of 5-10+)
Strong technical foundation: backend systems, distributed architectures, cloud (AWS preferred)
AI-native practitioner: Treats AI as core infrastructure, not a novelty—leverages coding assistants deeply, automates repetitive tasks with LLM, builds personal productivity systems, and brings a try it with AI first mindset to everything.

Product & Delivery:

Shipped complex products 0-to-1 and at scale, balancing speed with quality
Strong product sense: translate ambiguous business needs into technical execution
Excellent stakeholder management across executives, product, and cross-functional teams

Architecture & Technology:

Hands-on technical involvement: Design and review system architectures, conduct code reviews, and provide technical guidance to engineers
Strong engineering fundamentals: Able to evaluate technical trade-offs, guide build vs. buy decisions, and spot design flaws early
Track record of balancing innovation with production reliability, scalability, and maintainability

People & Leadership:

Proven hiring and scaling: recruited, onboarded, and developed engineers across levels
Strong people developer: effective 1:1s, coaching, career growth, psychological safety

Process & Excellence:

Operational rigor: manage sprints, remove blockers, maintain velocity and team health
Data-driven: use metrics, A/B testing, and analytics to guide decisions

Nice to Have:

Data Science or ML engineering background
Production LLM systems experience (prompts, fine-tuning, evals, agents)
High-growth startup or 0-to-1 AI product experience
Technical depth in Python, FastAPI, Ray, vector databases
SaaS/B2B/enterprise products, especially revenue or sales tech
Open-source contributions or AI/ML thought leadership

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!

Please note that all official communication regarding job opportunities at Clari + Salesloft will come from an @clari.com or @ salesloft.com email address. If you receive messages on LinkedIn or other job platforms claiming to be from Clari + Salesloft, they may not be legitimate. To verify the authenticity of any job-related communication, please visit our official Careers Page.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, notetaking, or summarizing responses. These tools assist our recruitment team but do not replace human judgment — all hiring decisions are made by people. If you would like more information about how your data is processed or prefer to opt out of any AI-assisted tools, please let your recruiter know. Opting out will not impact your experience or consideration.

Manager, Engineering - Data Science