Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. As a Senior Product Asso…
Skills: Product Management, Product Development Life Cycle, ML/AI Feature Delivery, Backlog Management, Data Analytics
Corporate Vice President - Google Cloud Platform Engineer
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Senior+
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Field Service Technician, Night Shift - West Henrietta, NY
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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$100k–$150k/yr
Full-time
bachelor degree, postgraduate degree
Health Care Coverage, On-site Health And Wellness Centers, Retirement Savings Plan, Backup Childcare, Tuition Reimbursement, Mental Health Support
Posted 22d ago
~40 hrs/week
Responsibilities
Lead the execution of the Customer Intelligence Hub by managing the product backlog and delivering personalized content features. Partner with Data Scientists to optimize ranking models and LLM quality scoring to drive measurable customer value.
Requirements
Requires 3+ years of experience in product management with a proven track record of shipping ML/AI-powered features. Must possess strong data literacy and experience with LLM-based products and agile delivery tools like JIRA.
Full job description
Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.
As a Senior Product Associate in Personalization & Customer Insights Team, you are the day-to-day execution lead for the Customer Intelligence Hub. You will own feature delivery from discovery through production, manage the product backlog across engineering teams, run experiments to validate ranking models and summary quality, and partner closely with Data Scientists on model evaluation — including LLM-as-a-Judge quality scoring and contextual bandit optimization. You are responsible for translating strategy into sprint-level delivery that ships measurable customer value.
The Customer Intelligence Hub is the personalized content generation layer — it takes what we know about a customer and generates what gets said to them and about them. But generation is only the starting point. The platform also discovers new moments that matter by mining customer data and behavioral patterns, proactively surfaces intelligence triggered by customer events (not just on-demand requests), predicts which insights will resonate before they reach a customer, and continuously learns from engagement signals to get sharper over time. Every generation emits natural language for humans and structured companion data for machines. Your consumers include bankers in branches, digital mobile and web surfaces, and more.
Job responsibilities
Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
Considers and plans for upstream and downstream implications of new product features on the overall product experience
Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
Writes the requirements, epics, and user stories to support product development
Own sprint backlog end-to-end (epics, stories, refinement) and manage delivery across multiple engineering teams.
Lead ranking/selection and summary-quality testing (hypotheses, A/B design, measurement) with Data Science/ML partners.
Run a data-led pipeline to mine behavior, identify “moments that matter,” and ship ranked candidate insights every sprint.
Define triggers (events, account changes, thresholds) to push pre-computed insights to channels ahead of customer need.
Evolve a reusable generation platform; drive production hardening, compliance, and operational excellence with platform engineering.
Enable self-service discovery, partner with business/marketing, and track KPIs (cycle time, engagement lift, model performance, companion-data adoption, trigger coverage).
Required qualifications, capabilities, and skills
3+ years of experience or equivalent expertise in product management or a relevant domain area
Proficient knowledge of the product development life cycle
Experience in product life cycle activities including discovery and requirements definition
Developing knowledge of data analytics and data literacy
Experience shipping ML/AI-powered features to production in close partnership with Data Scientists and Engineers
Strong backlog management skills: JIRA epics, user stories, acceptance criteria, refinement, sprint planning, and delivery tracking
Data literacy: ability to read model metrics, interpret experiment results (A/B tests, statistical significance), and make prioritization decisions based on data
Experience working with Data Scientists on the model lifecycle — design, evaluation, deployment, and monitoring
Comfort with LLM-based products: prompt engineering concepts, quality evaluation methodologies, and output governance
Clear, structured communicator with strong written and presentation skills; ability to translate technical complexity into stakeholder-ready narratives
Proven ability to work across technical and non-technical teams — comfortable partnering with Data Scientists on model design and with marketing or product teams on use-case adoption
Preferred qualifications, capabilities, and skills
Familiarity with recommendation or ranking systems (contextual bandits, LinUCB, DLRM, embeddings)
Experience with LLM evaluation pipelines (LLM-as-a-Judge, quality rubrics, automated scoring)
Understanding of personalization at scale, particularly in financial services
Experience with real-time ML serving infrastructure (Ray Serve, streaming pipelines, Flink/Kafka, or equivalent)
Experience with API-first delivery on cloud (e.g., AWS) and coordination across multi-channel experiences (mobile, web, branch, contact center)
Demonstrated prior experience working in a highly matrixed, complex organization
BS or MS in Engineering, Data Science, Business, or a comparable field of study
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The Digital team is dedicated to creating innovative, industry-leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm’s data sharing principles of security, customer control and convenience, and privacy.
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets.
We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services.
Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms
JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Offices: 270 Park Avenue, New York, NY 10017-2014, US · 101 Duncan Mill Road, Toronto, ON M3B1Z3, CA · 2200 Ross Ave, Dallas, TX 75201, US · Kadubeesanahalli Circle, Bengaluru, Karnataka 560103, IN · 370 S Cleveland Ave, Westerville, OH 43081, US
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Based on 7216 listings with disclosed salaries, most engineering jobs in New York pay between $80k–$209k per year. Individual offers vary with seniority, company size, and specialization.
How many Engineering jobs are open in New York right now?
There are currently 10,888 open engineering positions in New York listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Engineering roles in New York?
Companies currently hiring include New York City Housing Authority (NYCHA), Corning Incorporated, Amazon, L3Harris Technologies, JPMorganChase, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Engineering jobs in New York?
Yes — 3057 of the 10888 open engineering positions offer remote or hybrid work (704 remote, 2353 hybrid).
How do I apply for Engineering jobs in New York?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.