Sr. Product Manager - Machine Learning
London
Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines. Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.
You will be part of the Cognition and Machine Learning Product Team. We manage the machine learning models, pipeline and tooling that our customers use to identify compliance risks in their communications data, from chat to email to calls. You will be a Senior Product Manager for our Cognition Logic product and will have a delivery team composed of Machine Learning Engineers, Data Scientists and Data Engineers, helping to define and drive our product development forward.
How will you contribute?
- Help to develop and bring new ML and NLP capabilities and innovations to market, focussing on Machine Learning operations and the cost of running machine learning based products.
- Manage and prioritise backlogs, defining sprint priorities and writing user stories/acceptance criteria for our engineering teams.
- Write Epic specifications in partnership with our engineering and design teams.
- Work closely with other Product Managers to convert product strategy to detailed requirements and prototypes that can be translated into our development processes.
- Define process flows in conjunction with customers and work with our design teams on the UX of our products.
- Write feature specifications and product discovery documents and help our Sales teams respond to RFPs.
- Attend and actively participate in team ceremonies (stand-ups, retros, and planning meetings).
- Coordinate efforts with globally dispersed teams.
- This role is a hybrid role based in either London or Belfast
What will you bring?
- Proven experience as a Product Manager/Product Owner of a microservices, SaaS or machine Learning/AI based product.
- Knowledge of ML Ops frameworks, Machine Learning Governance, and cost modelling/management.
- Experience with software engineering and product management tools such as Jira, Confluence, Miro, ProductBoard, ProductPlan, Notion.
- A growth mindset and a commitment to quality.
- An ability to influence and work across different teams. Preferred Skills
- Knowledge of communications surveillance/compliance in a Financial Services context. This could have been gained within a FinTech, Consultancy, Compliance Technology vendor or a Financial Institution.
- Data Analysis, Machine Learning and/or Natural Language Processing knowledge
- Exposure to containers and streaming/even driven architectures (such as Kubernetes and Kafka)
What do we offer?
- We value our people and offer a competitive salary along with company bonus
- Strong maternity and paternity scheme
- A workplace pension scheme
- Take what you need holiday package
- Private medical insurance
- Dental pplan
- Group life assurance
- Group income protection
- Employee assistance programme
- A monthly wellness allowance
- Adoption assistance
- Stock options
About our culture
Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world’s leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Confluence Data analysis Engineering FinTech Jira Kafka Kubernetes Machine Learning Microservices ML models NLP Streaming UX
Perks/benefits: Career development Competitive pay Equity Health care Insurance Salary bonus Wellness
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