Product Manager, EHS&S

Sphera
1 year ago
Applications closed

Related Jobs

View all jobs

Product Manager AI (AI & Machine Learning)

AI Product Manager - Data Science

Product Owner - Assurance (AIOps, Network Monitoring, Fault Managemen

Principal Data Scientist

Principal Data Scientist

Data Scientist-Senior Manager

The Opportunity
We are looking for a Product Manager to join the Sphera team to act as the empowered central point of product leadership. They will act as the messenger of the market and the voice of the customer for the organization. They are responsible for the continuous delivery of value to the market, customers, and users. They engage their stakeholders in making data-driven decisions regarding which new products, features, and functionality to build and the order in which to build them. The product manager is responsible for the entire product lifecycle and the overall success of their products in the market. They are responsible for collaborating with their teams to rapidly build the solutions our customers and the market need.

How you’ll spend your day:

Gather market intelligence; serve as the messenger of the market and voice of the user for the rest of the organization. Lead data-driven decisions regarding product development priorities with consideration for customer value and feasibility. Build, maintain, and communicate a product roadmap with internal and external stakeholders. In collaboration with your cross-functional product team, continuously deliver innovation that will delight users and grow our business. Understand and support your sales and customer success teams; enable sellers and account managers to understand the problems you solve for your buyers and users; partner with the sales training team to develop internal tools and with marketing communications to develop external collateral. Help your customers achieve their environmental, health, safety, and sustainability goals through innovation.

What makes you a great fit:

A strong communicator, excellent writer, and enthusiastic presenter Strong leadership skills and a bias toward action Empathy, humility, curiosity, and business acumen 3+ years of product management or similar experience including all aspects of managing the product lifecycle and an agile SDLC Bachelor’s degree in business, marketing, computer science, or a related field is preferred Pragmatic Institute Certificate (PMC) II or higher is a bonus Experience in Environment, Health, Safety, and Sustainability (EHS&S) is preferred Experience in data science, machine learning, or generative AI is preferred Experience working with remote colleagues using conferencing tools Travel up to 10% of the time to meet clients and your teammates

#LI-CS1

Pay:

$112,000.00 - $168,000.00 + Eligible for Variable Compensation Plan

Commensurate with relevant qualifications and experience

Benefits:

Medical, Dental, and Vision Insurance

Health Savings Account

Flexible Spending Account

401(k) Retirement Plan with Company Match

Life and Disability Insurance

Critical Illness Insurance

Accident Insurance

Hospital Indemnity Insurance

Paid Time Off and Holidays

Flexible Working Schedule

Sphera is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

This job description is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities or working conditions associated with the position.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.