Vice President AI Product Manager - Enterprise Platforms & Workflow Transformation
About the job
- At least 10 years of experience in product management, digital transformation, enterprise technology, or related leadership roles.
- Demonstrated experience delivering artificial intelligence, automation, workflow, or enterprise platform solutions at scale.
- Strong domain expertise in one or more of the following areas: Human Resources, Finance, or Expense Management.
- Proven experience redesigning business processes and operating models through technology, automation, and artificial intelligence.
- Ability to identify common business challenges across functions and create scalable, enterprise-wide solutions.
- Experience gathering requirements from senior business stakeholders and translating them into actionable product roadmaps.
- Strong analytical, communication, stakeholder management, and executive influence skills.
- Experience working in agile product development environments and leading cross-functional teams.
- Demonstrated ability to navigate ambiguity, manage competing priorities, and drive execution across complex organizations.
- Define and execute the product vision, roadmap, and investment strategy for artificial-intelligence-powered enterprise workflow solutions.
- Identify and prioritize opportunities to leverage generative artificial intelligence, artificial-intelligence agents, machine learning, intelligent automation, and workflow orchestration technologies to improve operational effectiveness.
- Partner with stakeholders across Human Resources, Finance, Expense Management, Procurement, Risk, Compliance, and Operations to understand business challenges and identify high-impact use cases.
- Develop a deep understanding of enterprise workflows and operating models to uncover opportunities for standardization, simplification, automation, and artificial intelligence enablement.
- Drive the creation of scalable, cross-functional solutions that can be leveraged across multiple business areas rather than point solutions designed for individual teams.
- Translate business requirements into clear product capabilities, technical requirements, and measurable outcomes.
- Lead all phases of the product lifecycle, including discovery, business case development, solution design, prioritization, delivery, adoption, and post-launch optimization.
- Establish success metrics, monitor adoption and business impact, and continuously refine products based on user feedback and performance data.
- Partner with Engineering, Data, Architecture, Security, and Platform teams to deliver enterprise-grade artificial intelligence solutions.
- Evaluate emerging technologies and industry trends, bringing innovative ideas and practical applications into the organization.
- Develop executive communications, investment proposals, roadmap presentations, and product updates for senior stakeholders.
- Experience with Oracle and/or SAP platforms, including workflow automation, process optimization, enterprise integrations, and platform modernization initiatives.
- Strong understanding of enterprise systems supporting Human Resources, Finance, Procurement, Expense Management, or related business functions.
- Knowledge of enterprise data architecture, governance, security, compliance, and regulatory considerations.
- Familiarity with large language models, generative artificial intelligence platforms, artificial-intelligence agents, retrieval-augmented generation architectures, workflow orchestration frameworks, and intelligent automation technologies.
- Experience developing business cases, operating models, and return-on-investment frameworks for artificial intelligence investments.
- Experience leading enterprise platform strategies that span multiple business functions and stakeholder groups.
- Master of Business Administration or equivalent business and technology leadership experience.
About the company
Goldman Sachs provides financial services for corporations, governments, institutions, and individuals, including advisory on mergers and acquisitions, underwriting and distributing securities, asset and wealth management, and market making across fixed income, currencies, commodities, and equities. Its products work by delivering strategic advice, financing, liquidity, and asset management across multiple classes, using client funds and its own capital to raise, deploy, and manage capital for clients. The firm differentiates itself through its global scale, comprehensive range of services, deep client relationships, and long-standing presence in capital markets. Its goal is to help clients raise and deploy capital, manage risk, and grow wealth while earning fees and returns from advisory, trading, lending, and asset management activities.
Company Size
10,001+
Company Stage
IPO
Headquarters
New York City, New York
Founded
1869
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Simplify's Take
What believers are saying
- 2Q26 revenue hit $20.34 billion, with EPS $20.98 and 23.5% ROE.
- Goldman increased its quarterly dividend to $5.00 after strong July 2026 results.
- Record $59 billion quarterly alternatives fundraising deepens recurring fee income and client lock-in.
What critics are saying
- Reuters reported March 2026 performance cuts, signaling persistent pressure on underperformers.
- Marcus deposit spreads hurt 1Q26 private banking and lending, weakening consumer-banking economics.
- Large AI-driven headcount reduction plans threaten culture, retention, and operational execution through 2027.
What makes Goldman Sachs unique
- Goldman led 2Q26 U.S. banking, with record GBM revenues and #1 M&A rankings.
- Asset management reached $4.04 trillion AUM in 2Q26, proving scale across client franchises.
- NEOS acquisition expands Goldman into top-eight active ETFs by Q1 2027.
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Benefits
Health Insurance
Dental Insurance
Vision Insurance
Life Insurance
Disability Insurance
Health Savings Account/Flexible Spending Account
Paid Vacation
Paid Sick Leave
Paid Holidays
Professional Development Budget
Company News
89bio, a San Francisco-based clinical-stage biopharmaceutical company, has raised approximately $287.5 million through a public offering of common stock and pre-funded warrants. Gibson Dunn advised on the transaction. The company focuses on developing therapies for patients with liver and cardiometabolic diseases lacking optimal treatment options. Goldman Sachs, Leerink Partners, and BofA Securities served as lead book-running managers for the offering, with Cantor acting as book-running manager. The Gibson Dunn team included Ryan Murr, Branden Berns, Melanie Neary, Lauren Navarro, and Jasmine Vitug.
Goldman Sachs has added Amazon to its conviction buy list with a 12-month price target of $375, representing approximately 50% upside from current levels. The stock already carries buy ratings from 95% of Wall Street analysts. Amazon crossed $3 trillion in market capitalisation for the first time in August following strong second-quarter results. AWS revenue reached $42.2 billion in Q2, up 37% year over year — the division's fastest growth in 18 quarters. Total company revenue hit $200.6 billion, up 20%, marking the first time Amazon surpassed $200 billion in a single quarter. CEO Andy Jassy said capital expenditures are projected to reach $220 billion this year, driven by AI-related demand.
Sharon AI has entered into a US$356 million GPU-backed debt facility at a fixed rate of 9.95%. The facility will support deployment of compute infrastructure for customer contracts and is secured against GPUs and associated cash flows. Goldman Sachs and select private credit funds are among the investors in this inaugural senior secured facility. Sharon AI plans additional GPU financings to support deployment of over 68,000 NVIDIA GPUs by mid-2027. The Australian neocloud provider has now secured over US$2.6 billion in institutional debt and equity capital over the past 10 months. The company reports total contract value of over US$8.8 billion from its customer base. Sharon AI delivers AI infrastructure across Australia, New Zealand, and the Asia-Pacific region. Jarden Australia acted as sole financial adviser and arranger for the transaction.
We just closed an employee tender offer which values ElevenLabs at $22BN, up 2x from our Series D in February. The tender was led by Wellington and T. Rowe Price, and the growth is driven by demand from enterprises to deploy ElevenAgents across sales, support, and operations. In 2022, we raised our first round at a $9 million valuation, which we announced alongside Eleven v1, our first Text to Speech model, and the first model to generate human-level speech. Four years later, as we reach our new valuation, we just released two new state-of-the-art Text to Speech models. Eleven v4 and v4 Turbo are our fastest and most emotive models yet, and are leading independent benchmarks. Alongside models, we have built a full interaction platform for AI. It allows organizations to deploy conversational agents, connected to their knowledge and systems, that interact naturally in any industry, geography, or context. This shift is driving much of our growth, with enterprise now accounting for 55% of our revenue, as businesses adopt ElevenAgents to support their customers and employees. Our technology is now used in daily operations at five of the world’s ten largest tech companies, five of the ten largest insurers, and four of the ten largest telecoms. The round was co-led by Wellington Management and T. Rowe Price, along with participation from Goldman Sachs, GIC, Ontario Teachers' Pension Plan, EQT Group, Sapphire Ventures, and BDT & MSD Partners. And grateful for ongoing support from existing investors including Andreessen Horowitz, Alkeon Capital, The D. E. Shaw Group, Disruptive, Evantic Capital, ICONIQ, and Lightspeed. Most of all, this round is for the team that built the last four years. We're just getting started! | 89 comments on LinkedIn
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