Senior Product Manager

About Trinka AI

Trinka AI ((Use the "Apply for this Job" box below).) is an AI-powered writing assistant designed for academic and technical writing. Built by experts in language and AI, Trinka goes beyond basic grammar checks to improve clarity, tone, and word choice. It corrects complex errors, follows academic style guides, and provides intelligent writing suggestions in real time. Trinka offers tools such as AI-assisted writing, a Paraphraser, AI Studio, Consistency Checks, Technical Checks, Language Quality Checks, Citation Checks, and a Proofread File feature to help users create polished, publication-ready documents.

Available as a web app, browser plugin, Word add-in, and desktop app, Trinka also provides enterprise solutions with customization, privacy, and integration options.

About the team

We are a bunch of passionate researchers, engineers, product managers, data scientists, and designers who came together to build a product that can revolutionize the way any research-intensive projects are done. Reducing cognitive load and helping people to convert information into knowledge, is at the core of our mission. Our engineering team is building a scalable platform that deals with tons of data, AI processing over the data, and interactions of users from across the globe.

We believe research plays a key role in making the world a better place, and we want to make it easy to approach and fun to do!

Role overview

We are seeking a Senior Product Manager with 5+ years of experience in user-experience-driven AI product management (preferably in B2C and B2B AI SaaS), and either 3+ years of full-stack/backend development experience (ideally in product companies) or 3+ years of AI/ML/NLP research engineering experience.

You will be working very closely with other product managers, product designers, marketers, sales, engineering leadership, research leadership, and top management to ensure the successful delivery of projects and pragmatic (re-)designing of the product roadmap in an agile, iterative way. What we would love to see in you are the following traits:

First-principle product thinking:
You would lead the product in our earliest stages, helping us build our platform products from the ground up and leading us through launch.

Data-driven, evidence-centric product-thinking:
You are able to value experience-driven gut feeling as a starting hypothesis and love to validate that through primary and secondary research following agile methodologies suitable for early-stage startups. You love operating amidst alternative views and honestly seek to validate them.

Collaborative mindset:
You strongly believe that great ideas can come from any corner of the organization and needs to be valued and processed in a collaborative way. You are a team player who believes that ideas belong to the team and their success or failure is not that of an individual's.

The person that we are looking for

- You will help formulate Trinka’s long-term product vision, goals, metrics, and strategy.
- You will translate that strategy into concrete plans and objectives over the short- and medium-term.
- You will guide the prioritization of projects and help make resourcing and prioritization tradeoffs more generally.
- You will build compelling product roadmap based on customer needs, resources, and strategic opportunities.
- You will work closely with our AI/ML research team to ensure we are using the right metrics to inform our product roadmap and measure success.
- You take pride in estimating project ROI with reasonable accuracy and ensure proactive communication up to and down the chain of command.
- You are very well acquainted with best practices around project deployment and educate the team about the same.

Experience

- You have 5+ years of product management experience (preferably productivity SaaS products) with a strong track record of shipping user-facing products that users love.
- You have extensive first-hand experience in user behavior research.
- You have strong expertise using both quantitative data (e.g., metrics, analytics) and qualitative data (e.g., user feedback, usability research, user behavior research) to inform product prioritization. You…