Director of Investor Relations
San Francisco, United States · Full-time
- Posted 1w ago
- From Together AI’s careers page
- Location
- San Francisco, United States
- Type
- Full-time
- Level
- Director
- Department
- Finance and Accounting
Opens the listing on job-boards.greenhouse.io
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About the role
About the Role:
As Director of Investor Relations at Together, you will own the company's relationships with its investors and shape how the equity capital markets understand Together's business, strategy, and long-term opportunity. Reporting to the VP of FP&A, and partnering closely with the CEO, CFO, and executive team, you will be responsible for building our investor engagement strategy and investment narrative.
You will also own the core planning and reporting work that underpins our investor story: board reporting, the long-range plan, and the KPIs we use to run and describe the business. This hybrid investor relations and FP&A role will provide deep and unique insight into building and scaling an AI inference company.
This is a hands-on, high-ownership role in a lean function: you will build investor relations at Together largely from the ground up. This role is well suited to someone with analytical rigor and a background in equity capital markets who follows developments in technology and AI closely. You will be responsible for deeply understanding investors' perspectives on Together as well as the broader industry, bringing strategic insights to leadership to help inform key decisions. Strong candidates pair depth in financial analysis with the ability to distill sophisticated financial and technical concepts into clear and concise investor narratives.
Responsibilities:
Investor Relations
- Serve as a key point of contact for Together's equity investors
- Play a leading role in primary and secondary fundraising processes alongside the CFO and CEO, including building investor materials, running the data room and diligence process, coordinating investor meetings, and managing the process through close
- Develop and sharpen Together's investment narrative, showing how our technology, business model, infrastructure footprint, and financial profile add up to a compelling long-term thesis
- Build the reporting cadence and package for equity investors. Manage ongoing investor communications and requests, including regular investor reporting, ad hoc requests, and follow-ups
- Advise leadership on investor sentiment, market expectations, and how key decisions are likely to be received
- Develop a view of Together's current and prospective shareholder base and how it should evolve, leading investor targeting and outreach accordingly
- Prepare the CEO, CFO, and executive team for investor and board conversations by anticipating questions, sharpening key messages, and providing the supporting data
- Track developments across AI, cloud infrastructure, and equity capital markets, including peer fundraises, valuations, and investor sentiment, and translate them into concise insight for leadership
Planning & Reporting
- Own the quarterly board reporting package, working with finance and functional leaders to present a clear, accurate picture of the business
- Run the long-range plan, including the fundraise and valuation models that connect the company's capital needs to its operating plan
- Help define and evolve our monthly KPI reporting, establishing the metrics leadership and investors use to understand performance and benchmark against peers and competitors
Requirements:
- Experience in investor relations, growth equity, venture capital, equity research, investment banking, or a comparable equity capital markets role
- Exceptional written and verbal communication skills, with the ability to distill complex financial and technical topics into sharp, credible messages for sophisticated investors
- A deep understanding of equity capital markets and how investors evaluate high-growth, capital-intensive companies
- Familiarity with, or demonstrated interest in, AI and cloud infrastructure business models, such as GPU capacity economics, usage-based revenue, and infrastructure capex
- Ability to build and maintain financial models, and to translate financial statements and operating metrics into a defensible view of a business
- Sound judgment handling confidential information, with the discipline to know what should be shared, when, and with whom
- Comfort working directly with company executives, board members, and senior investors
- A strong work ethic and self-direction, with the creativity and problem-solving instincts to tackle novel questions where there is no established playbook
Nice to Have
- Direct experience executing late-stage private fundraises, from either the company or the investor side
- Experience with consumption-based revenue or large-scale infrastructure business models
About Together AI:
Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month.
Compensation:
We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $ 265-310K + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity:
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
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About Together AI
Cloud infrastructure for open-source AITogether AI provides cloud infrastructure, models, inference, and tools for developing and running AI applications.
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