Manager, Product Management Visa Sponsorship Jobs in Connecticut
Connecticut's manager, product management roles are concentrated in Hartford's insurance and financial services sector, Stamford's corporate headquarters corridor, and the growing tech scene around New Haven. Major employers including Travelers, Cigna, and Stanley Black and Decker have sponsored product management leadership roles, making Connecticut a genuine option for international candidates seeking visa sponsorship.
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Get Access To All JobsINTRODUCTION
Zora AI is Deloitte's AI agent platform delivering role-/function-specific products (e.g., Finance, Procurement, Supply Chain, Customer, Human Capital). As a Product Manager, you will own one or more sets of agent-enabled products end-to-end—defining vision, roadmap, requirements, and delivery—while ensuring trust, adoption, and measurable business outcomes for enterprise users.
KEY RESPONSIBILITIES
- Own product strategy and roadmap: Define product vision, target users, value propositions, and multi-quarter roadmap across multiple role-/function-specific products.
- Translate needs into outcomes: Partner with clients/internal teams to identify high-value use cases, map workflows, and define "jobs to be done" and measurable success metrics.
- Lead discovery and delivery: Run discovery (research, prototypes, pilots) and delivery (MVP to scale), managing scope, tradeoffs, and dependencies across engineering, data, and design.
- Define product requirements: Create PRDs, user stories, acceptance criteria, and workflow diagrams for agent behaviors, tool integrations, and user experiences.
- Agent experience & orchestration: Specify agent capabilities (reasoning, task planning, tool use, approvals), human-in-the-loop patterns, and escalation/exception handling.
- Data and integration leadership: Drive requirements for connectors, data access patterns, security/privacy, logging/auditability, and integration with enterprise systems.
- Trustworthy AI & risk management: Partner with risk/compliance to address model governance, safety, monitoring, explainability, bias, and audit requirements.
- Go-to-market and enablement: Collaborate with sales and delivery to package offerings, define pricing/packaging inputs, create demos, and support pursuits and launches.
- Operate the product cadence: Maintain backlog, run sprint planning, track progress, and align stakeholders through clear decision points and communications.
REQUIRED QUALIFICATIONS
- 7+ years of Product Management experience (enterprise software, SaaS, platforms, or data products), including shipping products from concept to GA.
- 2+ years of recent experience delivering products involving AI/ML (GenAI preferred), including evaluation, monitoring, and iteration loops.
- 2+ years of recent experience supporting product discovery (research, hypothesis testing, experimentation) and product delivery (requirements, backlog, release management).
- 1+ year working with enterprise integration patterns (APIs, eventing, identity/SSO, role-based access control, data pipelines).
- Limited immigration sponsorship may be available.
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
PREFERRED
- Experience with agentic architectures (tool calling, retrieval-augmented generation, workflow orchestration, multi-agent patterns).
- Familiarity with LLM evaluation (quality metrics, red-teaming, grounding, hallucination mitigation) and observability.
- Domain depth in one or more target functions (e.g., Finance, Procurement, Supply Chain, HR, Customer Operations).
- Consulting, enterprise transformation, or platform product experience (shared services, reusable components, governance).
- Proven ability to manage multiple products with competing priorities and shared platform dependencies.
- Experience launching products with OCI / SAP / ERP / CRM ecosystems and connector marketplaces.
- Excellent stakeholder management and executive communication; able to write crisp narratives, PRDs, and decision memos.
- Track record of partnering with engineering, design, data science, and risk/compliance teams to deliver in regulated or high-stakes environments.
KEY DELIVERABLES
- Product strategy and 12-18 month roadmap with measurable outcomes.
- PRDs, epics, user stories, and acceptance criteria for each product/agent capability.
- Use-case catalog and prioritization model (value, feasibility, risk, readiness).
- MVP/pilot plans with success metrics, rollout phases, and scale criteria.
- Trust & governance artifacts: evaluation approach, monitoring plan, audit/logging requirements, and risk controls (in partnership with risk teams).
- Release plans and launch readiness checklists (docs, training, demo scripts, enablement).
- Customer feedback loop: telemetry dashboards, VOC insights, and iteration plan.
HOW SUCCESS WILL BE MEASURED (EXAMPLE OUTCOMES)
- Adoption: active users, repeat usage, workflow completion rates, feature utilization by product set.
- Business impact: cycle-time reduction for targeted workflows, cost-to-serve reductions, improved forecast accuracy or exception resolution time (by use case).
- Quality & reliability: task success rate, low rework/rollback rates, latency/uptime targets, incident trends.
- Trust & compliance: audit readiness, policy adherence, reduction in high-severity model risks, successful governance reviews.
- Delivery excellence: roadmap predictability, on-time releases, stakeholder satisfaction, reduced dependency blockers.
- Customer outcomes: pilot-to-scale conversion, referenceable wins, renewal/expansion influence (where applicable).
WORKING MODEL & STAKEHOLDERS (EDIT AS NEEDED)
- Working model: Remote + Hybrid (2-3 days onsite) with flexibility based on team and client needs; operates in agile product teams with regular release cadence.
- Core stakeholders:
- Engineering (platform + product squads)
- Data Science / Applied AI (models, evaluation, tuning)
- Design / Research (UX, workflow design, prototyping)
- Cybersecurity & Privacy (security controls, data protection)
- Risk, Legal, Compliance (AI governance, auditability, policy alignment)
- Domain SMEs (Finance, Procurement, Supply Chain, HR, etc.)
- Sales, Alliances, and Delivery/Implementation (pursuits, packaging, rollout)
- Customer/Client stakeholders (product owners, process owners, IT, operations)
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,000 - $210,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
EA_ITS_ExpHire
INTRODUCTION
Zora AI is Deloitte's AI agent platform delivering role-/function-specific products (e.g., Finance, Procurement, Supply Chain, Customer, Human Capital). As a Product Manager, you will own one or more sets of agent-enabled products end-to-end—defining vision, roadmap, requirements, and delivery—while ensuring trust, adoption, and measurable business outcomes for enterprise users.
KEY RESPONSIBILITIES
- Own product strategy and roadmap: Define product vision, target users, value propositions, and multi-quarter roadmap across multiple role-/function-specific products.
- Translate needs into outcomes: Partner with clients/internal teams to identify high-value use cases, map workflows, and define "jobs to be done" and measurable success metrics.
- Lead discovery and delivery: Run discovery (research, prototypes, pilots) and delivery (MVP to scale), managing scope, tradeoffs, and dependencies across engineering, data, and design.
- Define product requirements: Create PRDs, user stories, acceptance criteria, and workflow diagrams for agent behaviors, tool integrations, and user experiences.
- Agent experience & orchestration: Specify agent capabilities (reasoning, task planning, tool use, approvals), human-in-the-loop patterns, and escalation/exception handling.
- Data and integration leadership: Drive requirements for connectors, data access patterns, security/privacy, logging/auditability, and integration with enterprise systems.
- Trustworthy AI & risk management: Partner with risk/compliance to address model governance, safety, monitoring, explainability, bias, and audit requirements.
- Go-to-market and enablement: Collaborate with sales and delivery to package offerings, define pricing/packaging inputs, create demos, and support pursuits and launches.
- Operate the product cadence: Maintain backlog, run sprint planning, track progress, and align stakeholders through clear decision points and communications.
REQUIRED QUALIFICATIONS
- 7+ years of Product Management experience (enterprise software, SaaS, platforms, or data products), including shipping products from concept to GA.
- 2+ years of recent experience delivering products involving AI/ML (GenAI preferred), including evaluation, monitoring, and iteration loops.
- 2+ years of recent experience supporting product discovery (research, hypothesis testing, experimentation) and product delivery (requirements, backlog, release management).
- 1+ year working with enterprise integration patterns (APIs, eventing, identity/SSO, role-based access control, data pipelines).
- Limited immigration sponsorship may be available.
- Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve.
PREFERRED
- Experience with agentic architectures (tool calling, retrieval-augmented generation, workflow orchestration, multi-agent patterns).
- Familiarity with LLM evaluation (quality metrics, red-teaming, grounding, hallucination mitigation) and observability.
- Domain depth in one or more target functions (e.g., Finance, Procurement, Supply Chain, HR, Customer Operations).
- Consulting, enterprise transformation, or platform product experience (shared services, reusable components, governance).
- Proven ability to manage multiple products with competing priorities and shared platform dependencies.
- Experience launching products with OCI / SAP / ERP / CRM ecosystems and connector marketplaces.
- Excellent stakeholder management and executive communication; able to write crisp narratives, PRDs, and decision memos.
- Track record of partnering with engineering, design, data science, and risk/compliance teams to deliver in regulated or high-stakes environments.
KEY DELIVERABLES
- Product strategy and 12-18 month roadmap with measurable outcomes.
- PRDs, epics, user stories, and acceptance criteria for each product/agent capability.
- Use-case catalog and prioritization model (value, feasibility, risk, readiness).
- MVP/pilot plans with success metrics, rollout phases, and scale criteria.
- Trust & governance artifacts: evaluation approach, monitoring plan, audit/logging requirements, and risk controls (in partnership with risk teams).
- Release plans and launch readiness checklists (docs, training, demo scripts, enablement).
- Customer feedback loop: telemetry dashboards, VOC insights, and iteration plan.
HOW SUCCESS WILL BE MEASURED (EXAMPLE OUTCOMES)
- Adoption: active users, repeat usage, workflow completion rates, feature utilization by product set.
- Business impact: cycle-time reduction for targeted workflows, cost-to-serve reductions, improved forecast accuracy or exception resolution time (by use case).
- Quality & reliability: task success rate, low rework/rollback rates, latency/uptime targets, incident trends.
- Trust & compliance: audit readiness, policy adherence, reduction in high-severity model risks, successful governance reviews.
- Delivery excellence: roadmap predictability, on-time releases, stakeholder satisfaction, reduced dependency blockers.
- Customer outcomes: pilot-to-scale conversion, referenceable wins, renewal/expansion influence (where applicable).
WORKING MODEL & STAKEHOLDERS (EDIT AS NEEDED)
- Working model: Remote + Hybrid (2-3 days onsite) with flexibility based on team and client needs; operates in agile product teams with regular release cadence.
- Core stakeholders:
- Engineering (platform + product squads)
- Data Science / Applied AI (models, evaluation, tuning)
- Design / Research (UX, workflow design, prototyping)
- Cybersecurity & Privacy (security controls, data protection)
- Risk, Legal, Compliance (AI governance, auditability, policy alignment)
- Domain SMEs (Finance, Procurement, Supply Chain, HR, etc.)
- Sales, Alliances, and Delivery/Implementation (pursuits, packaging, rollout)
- Customer/Client stakeholders (product owners, process owners, IT, operations)
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,000 - $210,000.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html
EA_ITS_ExpHire
Manager, Product Management Job Roles in Connecticut
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Search Manager, Product Management Jobs in ConnecticutManager, Product Management Jobs in Connecticut: Frequently Asked Questions
Which companies sponsor visas for manager, product management roles in Connecticut?
Hartford-based insurers and financial firms are among the most active sponsors, including Travelers, Cigna, and The Hartford. Stamford attracts corporate sponsors such as Synchrony Financial and Gartner. UnitedHealth Group and Siemens Healthineers also have Connecticut footprints with product management teams. Sponsorship activity varies by year and business need, so checking recent LCA disclosure data from the Department of Labor gives the most current picture of which employers are actively filing.
Which visa types are most common for manager, product management roles in Connecticut?
The H-1B is the most common visa for manager, product management roles in Connecticut, as the position typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as computer science, business, or engineering. The L-1A is relevant for managers transferring intracompany within multinational firms headquartered in Stamford or Hartford. The O-1A is an option for candidates with documented extraordinary achievement, though the evidentiary bar is high.
Which cities in Connecticut have the most manager, product management sponsorship jobs?
Hartford and Stamford are the two primary hubs. Hartford concentrates activity in insurance, healthcare IT, and financial services, where product management roles are embedded in large enterprise organizations. Stamford draws corporate and fintech employers given its proximity to New York City. New Haven has a smaller but growing presence tied to Yale's innovation ecosystem and life sciences companies. Greenwich occasionally produces openings from financial services firms with product and technology divisions.
How to find manager, product management visa sponsorship jobs in Connecticut?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can search manager, product management roles in Connecticut without sorting through positions that don't support international candidates. The platform surfaces roles from Connecticut employers across Hartford, Stamford, and New Haven. Because sponsorship status is often not stated in standard job postings, using a dedicated tool like Migrate Mate saves significant time when you're targeting product management leadership roles in the state.
Are there any Connecticut-specific considerations for manager, product management visa sponsorship?
Connecticut employers filing H-1B petitions for manager, product management roles must comply with Department of Labor prevailing wage requirements for the Hartford or Bridgeport-Stamford wage areas, which are calculated separately and reflect local market conditions. The state's concentration in insurance and financial services means product management roles often require domain knowledge in regulated industries, which can strengthen a specialty occupation argument. Connecticut has no state-level immigration program, so federal visa pathways apply uniformly.
What is the prevailing wage for sponsored manager, product management jobs in Connecticut?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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