Grammarly offers a remote-first hybrid working modelTeam members can work primarily remotelyStarting in 2022, teams will meet in person every quarter in one of grammarly’s hubs, currently in san francisco, vancouver, new york, and kyivTo ensure that teams are able to overlap in their working hours and to meet face-to-face when needed, all team members need to live within three time zones of their direct team.
Grammarly team members who will be collaborating at our san francisco hub must be based in the united states.
Grammarly empowers people to thrive and connect, whenever and wherever they communicateEvery day, 30 million people and 30,000 teams around the world use our ai-powered writing assistantAll of this begins with our team collaborating in a values-driven and learning-oriented environment.
To achieve our ambitious goals, we’re looking for a senior product manager, machine learning, to join our product teamThe senior product manager will oversee a strong group of ml engineers, research scientists, computational linguists, and data scientists owning critical, zero-to-one product initiativesInitial focus areas will include developing ml capabilities in the space of natural language understanding and generation to bring writing assistance to millions of usersThis includes understanding and applying cutting-edge technologies around large language models (think bert or pegasus) and semantics to rethink the future of communicationThe senior product manager, machine learning, will be responsible for setting short- and long-term strategies leading execution, experimentation, and productionizing while also working cross-functionally to influence roadmaps across grammarly.
As senior product manager, machine learning, you will apply an immense amount of creativity to figure out how to leverage the emerging technology of language understanding and generation to solve real communication problems that affect millions of people every dayThe unique challenge of this position is to be incredibly empathetic to be able to understand the difficulties people have with communication—while staying at the forefront of the rapidly changing ai/nlp field.
In this role, you will:
Lay the technical foundation to use state-of-the-art ml approaches to help users communicate better, operating at a massive scale.
Be accountable for the data and ml quality of grammarly’s differentiated user experiences that help millions of users achieve their communication goals.
Be able to generate business impact at a massive scale through rapid iteration and hypothesis-driven experimentation.
Within your first thirty days, you will familiarize yourself with the existing foundation that powers grammarlyOver time you will start to validate product and technology hypotheses in the space of machine learning and nlpIn your first six months, you will deliver impactful product experiences to millions of users every single day.
We’re looking for someone who
Embodies our eager values—is ethical, adaptable, gritty, empathetic, and remarkable.
Appreciates complex and technical products, elegant user experiences, and how product impacts metrics and growth.
Understands the complexities of building ml and nlp products and has experience prototyping, iterating on, evaluating, and scaling large-scale ml/nlp systems.
Can connect ml value propositions to actual user problems.
Understands engineering complexity and has solid tech literacy and pattern recognition for discussing solutions and estimates.
Can build exceptional, cross-functional relationships across marketing, applied research, engineering, computational linguistics, and analytics teams.
Has developed and successfully owned key product metrics/indicators that map directly or indirectly to company performance, and can analyze and pull meaningful insights from both quantitative and qualitative data.
Support for you, professionally and personally
Professional growth: we hire people we trust, and we give team members autonomy to do their best workWe also support professional development with training, coaching, and regular feedback.
A connected team: grammarly builds a product that helps people connect, and we apply this mindset to our own teamWe have a highly collaborative culture supported by our eager valuesWe also take time to celebrate our colleagues and accomplishments with global, local, and team-specific events and programs.
Comprehensive benefits: grammarly offers all team members competitive pay along with a benefits package that includes superior health careWe also offer support to set up a home office, ample and defined time off, gym and recreation stipends, admission discounts, and more.
We encourage you to apply
At grammarly, we value our differences, and we encourage all—especially those whose identities are traditionally underrepresented in tech organizations—to applyWe do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by lawGrammarly will consider qualified applicants with criminal histories in a manner consistent with the san francisco fair chance ordinanceGrammarly is an equal opportunity employer and participant in the u.sFederal e-verify program.
Please note that grammarly’s covid-19 vaccination policy requires that all team members in north america be vaccinated against covid-19 to meet in person for grammarly business or to work from a north america hub locationIt is expected that this will be a requirement for this roleQualified candidates in north america who cannot be vaccinated for medical reasons or because of a sincerely held religious belief may request a reasonable accommodation to this policyFor ukraine, this policy requires team members to be vaccinated or produce a daily negative covid-19 test administered at the kyiv hub to work from the hub or attend in-person meetings.