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1 день назад

Lead Product Manager (Agentic Tax)

107 500 - 188 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Product Manager (Agentic Tax) (AI/SaaS): Defining portfolio strategy, commercial growth, and AI-enabled agentic tax product initiatives with an accent on enterprise customer discovery, platform investments, monetization, and measurable business outcomes. Focus on establishing responsible AI governance, prioritizing multi-product roadmaps, scaling intelligent workflows, and aligning executive stakeholders across product, engineering, sales, marketing, and customer success.

Location: Hybrid in Coppell, Texas, United States, with office attendance 8 days per month; travel up to 25%; applicants may be required to attend onsite interviews.

Salary: $107,500–$188,400 USD annually, plus bonus eligibility.

Company

Develops tax and accounting software, SaaS platforms, and AI-enabled product solutions.

What you will do

  • Define product vision, portfolio strategy, investment priorities, outcome-based roadmaps, OKRs, business cases, and success metrics across multiple products, platforms, capabilities, and customer journeys.
  • Own adoption, retention, expansion, revenue growth, customer satisfaction, profitability, pricing, packaging, monetization, market entry, launches, and commercialization strategies.
  • Lead enterprise customer discovery, advisory boards, workflow analysis, journey mapping, experimentation, concept validation, prototypes, MVPs, and strategic product initiatives.
  • Define AI and agentic product strategies; evaluate, prioritize, test, and scale AI-enabled opportunities, intelligent experiences, workflow automation, and emerging technology partnerships.
  • Establish responsible AI governance, risk management, transparency standards, and human-in-the-loop controls.
  • Use customer, product, operational, market, and financial data to guide portfolio decisions; align executive stakeholders and coach Product Managers.

Requirements

  • Bachelor's degree from an accredited university or equivalent experience.
  • 8+ years of product management experience with enterprise SaaS leadership experience.
  • Proven ownership of multi-product or platform-level strategies, product strategy, commercialization, growth initiatives, and measurable business outcomes.
  • Ability to define long-term product vision, establish investment priorities, make strategic trade-offs, and connect investments to customer and business outcomes.
  • Technical fluency in APIs, platforms, engineering trade-offs, cloud-based products, ecosystems, integrations, continuous delivery environments, and usage-based business models.
  • Strong understanding of AI, generative AI, and agentic systems, including opportunity identification, governance frameworks, and scalable value creation.
  • Strong commercial and business acumen covering revenue growth, profitability, pricing, packaging, acquisition, retention, expansion, and value realization.
  • Expertise in customer research, jobs-to-be-done methodology, workflow analysis, journey mapping, experimentation, opportunity identification, and quantitative, qualitative, operational, and financial data analysis.
  • Exceptional communication, presentation, stakeholder management, executive influence, ambiguity management, complexity management, alignment, and results-delivery skills.

Nice to have

  • MBA or advanced degree.
  • Degree in Business, Computer Science, Engineering, Information Systems, or a related discipline.

Culture & Benefits

  • Hybrid work arrangement with eight office days per month.
  • Medical, dental, and vision plans.
  • 401(k), FSA/HSA, commuter benefits, tuition assistance, vacation, sick time, and paid parental leave.
  • Bonus eligibility.

Hiring process

  • Interviews are conducted without AI tools, external prompts, virtual backgrounds, or third-party assistance.
  • In-person interviews may be included, and AI-generated responses or third-party support may result in disqualification.

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