Product Operations Manager

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client is the AI operator for SMBs. The company finds missed opportunities and follows up on signals you didn’t catch - knowing your business better than you do, acting on every lead ready to buy and every customer about to leave.
Built by the team behind leading AI startups with over 20 years of experience, the company is your always-on autopilot for prioritizing and acting on the most important messages.

About the role:
We are looking for a Product Operations Manager to join the team. As the Founding Product Operations Manager, you’ll become the heartbeat between customers, product, and engineering. Your work directly shapes what the company builds — and how quickly it gets to true product-market fit.

Requirements:
- 3–7 years experience in SaaS (product ops, product management, implementation, onboarding, or solutions consulting);
- Strong customer instincts — you love talking to users;
- Strong product instincts — you understand systems, UX, workflows;
- Excellent writing clarity;
- Ability to take an ambiguous problem and turn it into a crisp requirement;
- Experience working closely with engineering;
- Taste — you know what “good” looks like and you can articulate why;
- Hunger to build something category-defining from day zero.

Nice to have:
- Wearing multiple hats;
- Working directly with founders;
- Shipping things fast;
- Making sense of messy feedback;
- Seeing your work reflected in the product within days.

Responsibilities:
1. The customer feedback loop:
- Turning raw, messy customer insights into crisp, actionable product inputs;
- Joining key demos and onboarding calls;
- Reviewing transcripts and pulling out critical signals;
- Converting feedback into clear, structured Linear tickets;
- Identifying patterns across customer conversations.
2. Onboarding & trial experience:
- Making sure every customer has a smooth, fast path to value;
- Setting up new tenants, running data reprocessing, validating ICPs;
- Troubleshooting early onboarding friction;
- Ensuring follow-up is fast and precise after demos;
- Working with the product to unblock any trial issues.
3. Product clarity & prioritization:
- Helping the company move fast without chaos;
- Writing lightweight specs with problem → examples → success criteria;
- Proposing weekly priorities based on what customers actually need;
- Maintaining hygiene in Linear and feedback channels;
- Keeping engineering focused by filtering noise.
- Driving internal communication between teams
4. Internal product systems:
- Building and maintaining the mechanisms that help the company learn faster;
- Improving how users give feedback in the product (thumbs down, hide, etc.);
- Managing internal feedback channels (Slack → Linear);
- Ensuring the company always has visibility into bugs, papercuts, and requests;
- Surfacing “quick wins” that create immediate delight.

The company offers:
- Work at the intersection of AI, LLMs, and groundbreaking productivity solutions.
- Join the stock option program.
- Thrive in a creative, fast-paced environment that values curiosity and experimentation.
- Choose what works best for you - remote or hybrid, or in-office.
- Be part of a company that values your ideas, skills, and drive to make a tangible difference.