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Form of workYou 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
Smarsh is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Smarsh invites all qualified interested applicants to apply for career opportunities. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Including frequency of functions
