Jobs / United States / Alphasense INC

Alphasense INC

Product Manager, Financial Data - Screening & Search

Remote - United States · Remote · US only Posted today

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Where you can work from

United States only

Based on the listing's location: Remote - United States.

The company's headquarters is not the same as where you may work from. Visa sponsorship only matters if you would relocate; see below.

Visa sponsorship, if you would relocate

Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Alphasense INC paid sponsored hires in similar roles1 certified filing for “Senior Product Manager - AI Workflow” (Market Research Analysts and Marketing Specialists) in NY: $215k–$215k, median $215k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 9 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Alphasense INC paid sponsored hires in similar roles
1 certified filing for “Senior Product Manager - AI Workflow” (Market Research Analysts and Marketing Specialists) in NY: $215k–$215k, median $215k. Most were filed at wage level IV (100%) — 4 lottery entries, ≈61% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

About AlphaSense: AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit www.alpha-sense.com . Come join us. About the Team: The Financial Data team at AlphaSense is responsible for delivering the data foundation that powers our industry-leading market intelligence platform. We focus on sourcing, integrating, and surfacing structured datasets that enable clients to discover and act on insights in new ways. Our team is dedicated to delivering these datasets directly into our clients' most critical workflows. About the Role: We are seeking a Product Manager to own and define how our financial data is surfaced through search and agentic capabilities across the AlphaSense platform. In this role, you'll sit at the intersection of our vast financial datasets and the systems that make that data discoverable, screenable, and actionable for end users and AI agents alike. You will be responsible for understanding how financial content is structured, indexed, and ranked so that it can be reliably surfaced through search, screening, and agentic workflows, defining the product experience that makes our data foundation a trusted input for both human analysts and AI-driven research. You'll partner closely with engineering, design, and business stakeholders to define requirements, author PRDs, and lead the development of new features. Who You Are: • An experienced Product Manager with a minimum of 2 years of experience building SaaS products in partnership with engineering and scrum teams. • Experienced in financial data products. • A clear, persuasive communicator who creates PRDs, roadmaps, and requirements that align stakeholders and drive execution. • Organized and detail-oriented, with a proven ability to manage a complex product backlog and deliver features end-to-end. • A strategic thinker with a discovery mindset, deeply curious about client workflows and pain points, especially those of financial analysts, investment bankers, and corporate development/deal teams. • A track record of owning roadmap and delivery in SaaS environments. • Familiarity with AI-powered search or workflow technologies is a plus. • Bachelor's degree in Computer Science, Business, or a related field required. What You’ll Do: • Define and execute the short- and mid-term roadmaps for how financial data is surfaced through search, screening, and agentic capabilities, aligning with business objectives and client needs. • Contribute to the long-term Financial Data vision by building a deep understanding of client personas (e.g., analysts, bankers, corporate development professionals) and how they search, screen, and query financial content, both directly and through AI agents. • Continuously assess gaps in searchability, screening logic, and content structure, and prioritize improvements to how data is tagged, indexed, and ranked to close them. • Write and prioritize product requirements (PRDs) informed by customer discovery and client feedbac

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