Ai Coding Assistants Product Jobs

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Product Manager, Emerging Technology

Salesforce New York, NY

New York, NY

Today

$149k - $224k/yr Full time Ai Coding Assistants Ai Workflows Artificial Intelligence

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Job Description

Work on early-stage product initiatives inside Salesforce’s Emerging Technology team, part of Digital Enterprise Technology (DET). This is a 0-to-1 product engine where you’ll shape what to build, test it with real signals, and help bring production-ready MVPs to life on aggressive timelines.

This role is based in New York, NY (onsite) and offers USD 148,500 - 223,900 per year. You’ll join a team that expects growth and hands-on problem solving, with senior PMs partnering closely to help you level up.

What you’ll do

Own new product initiative work end-to-end, starting with problem framing and taking it through delivery, while working alongside senior PMs who support your development.
Lead rapid prototyping and experimentation, validating concepts using data, customer feedback, and scrappy testing before committing to full builds.
Convert ambiguous challenges into actionable product requirements and user stories for engineering and design.
Run customer research, synthesize insights, and use them to inform the roadmap.
Collaborate across product, design, engineering, and operations to ship production-ready MVPs on aggressive timelines.
Monitor emerging technology trends and bring fresh perspectives to help identify the next opportunity.
Maintain product roadmaps, write detailed specs, and define success metrics to measure whether efforts are working.

What you bring

3-6 years of product management experience, in an enterprise or startup setting.
A builder mindset: genuine interest in building new things, energized by ambiguity, prototyping independently, tinkering with new tools, and using constraints creatively.
Hands-on, daily use of AI tools such as Claude Code and Cursor to draft specs, analyze data, prototype solutions, and speed up workflow, plus enough understanding of how LLMs work to know when to trust outputs and when not to.
Exposure to or strong curiosity about emerging technologies, data-driven products, or innovative platforms.
An execution mindset to turn rough direction into a plan teams can act on.
Strong communication and collaboration across diverse, cross-functional teams.
Customer-focused thinking, including the ability to learn, gather, synthesize, and act on user insights.
Comfort operating in highly matrixed, resource-constrained environments.

Tools you’ll use

Claude Code
Cursor
LLMs

Benefits

Time off programs
Medical, dental, and vision
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

Preferred qualifications

Direct experience shipping an MVP or 0-to-1 product in a resource-constrained team.
Familiarity with experimentation frameworks or lightweight research methods for validating product hypotheses.
A related technical degree required.

If you need a reasonable accommodation during the application or recruiting process, submit a request via the Accommodations Request Form.

AI note for applicants: Salesforce uses artificial intelligence (AI) tools to help recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans make all candidate selection and hiring decisions.

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