FP&A Manager

Telnyx; United States; On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Work from home

In-person options

Unlimited PTO

Healthcare benefits

401(k) matching

Job summary

Telnyx is seeking a finance leader to own forecasting, budgeting, and long-range planning in a fast-moving AI-driven environment. You will design and ship our next-generation planning and reporting tooling, built around AI agents and automated workflows.

You’ll partner with FP&A Engineers, Accounting, and BI to translate complex data into actionable executive insight. You’ll build driver-based models for revenue, gross profit, headcount, OPEX, and cash, lead scenario analyses, and guide

Qualifications

• Genuine strong financial modeling skills across forecasting, budgeting and long-range planning.
• Experience building or working with AI-enabled analytics and automation tools.

Responsibilities

• Own forecasting, budgeting, and long-range planning.
• Lead scenario planning, sensitivity analysis, and ROI work for investments.
• Turn messy data into a clear point of view driving decisions for senior leadership.
• Partner with Accounting, BI, and other business leaders to reflect actual operations in models.
• Design, build and extend agent-based planning and reporting infrastructure.

Skills

Financial modeling

Automation

APIs

SQL

Python

Executive communication

Tools

SQL

Python

Job description

• Most FP&A roles ask you to run a process someone else designed. This one asks you to build the process and then run it
• We’re replacing our Anaplan-style planning stack with something faster, more automated, and built around AI agents, APIs, and connected systems instead of manual spreadsheet chains. You’ll be the finance half of that build, working closely with our FP&A Engineer to design the tooling from scratch. Once it’s live, you’ll own the forecasting, modeling, and strategic decision support that runs on top of it
• This is not a traditional FP&A role with some added automation. It’s for someone who genuinely wants to understand how a finance function works, rebuild the parts that can be better, and then use what they built to answer the business’s hardest questions
• Here’s the part that actually matters most: agentic AI isn’t a side initiative at Telnyx, it’s how we work. Every employee builds daily with AI agent frameworks and tools, running on company-issued hardware, connected into leading model providers to build and run agents as part of normal day-to-day work. This isn’t a “nice to have exposure to AI” line item
• Partner directly with our FP&A Engineer to design and ship our next-generation planning, forecasting, and reporting infrastructure
• Build and extend agents on our own stack, including our internal agent frameworks, control plane, and agent-to-agent tooling to eliminate manual FP&A workflows. Not just document them, replace them
• Help shape the architecture, including what gets automated, what requires human judgment, and where the models need guardrails
• Build driver-based models across revenue, gross profit, headcount, operating expenses, and cash
• Lead scenario planning, sensitivity analysis, and ROI work for investments, pricing, hiring, and commercial decisions
• Own and continuously improve forecasting, budgeting, and long-range planning
• Turn messy, incomplete, or contradictory data into a clear point of view on what’s actually driving the numbers
• Translate complex analysis into executive-ready answers to four questions: What changed? Why? What does it mean? What should we do next?
• Get pulled into urgent modeling questions with little warning. It could be a hiring decision, a revenue swing nobody can explain yet, or a commercial deal that needs a fast financial assessment. Your job is to turn it into structured analysis leadership can act on quickly
• Partner with Accounting, BI, and other business leaders so models reflect how the business actually operates, not just how the spreadsheet says it should
• You’re not joining an established process and learning its quirks. You’re one of only a few people designing what the process even is, using a technology stack that’s already embedded in how the broader company works. The agents and systems you stand up in your first several months become the infrastructure the finance org runs on afterward, and you’ll have direct input into both the tooling and the business decisions it powers

Benefits

• Flexible, global team: Reaching our full potential means hiring people from all walks of life. Telnyx allows employees to work from home, and we offer in-person options for team members in Amsterdam, Chicago, Dublin and Warsaw
• Modern life, modern accommodations: Working in the business of innovation means offering support to our team to help them stay innovative. Telnyx offers unlimited personal time off to help employees recharge
• Benefits based on location: With team members across the globe, Telnyx offers competitive perks and benefits based on location. Employees in Ireland, the UK, and the US are eligible for healthcare benefits, and US employees also have access to 401(k) matching

You should already be someone who builds agents for fun or for work, or be genuinely itching for a job where that’s expected of you rather than tolerated. If that doesn’t excite you, this specific role will feel like a mismatch no matter how strong your modeling isYou want to be close to the decisions, not three steps removed from them. When someone throws you a question you’ve genuinely never seen before, your instinct is “let me figure this out,” not “let me find the template.” And building your own agents to handle the repetitive parts of the job feels like a natural way to work, not an extra taskYou’ll love this if you get energy from a blank page and figuring out how data and systems actually connect, then automating the parts that shouldn’t be manual anymoreA solid understanding of financial statements and how operational decisions flow through to financial resultsSharp judgment about where precision adds real value versus where speed matters moreReal, hands-on experience building or working with AI agents. This is a requirement for this role, not a nice-to-have. Comfort with leading model providers and agent frameworks, or a demonstrated track record of picking up new tools in this space fastA builder’s instinct: you’re comfortable learning how systems and data fit together and reaching for technology to solve finance problems, not just ExcelWorking knowledge of automation, APIs, SQL, Python, or similar. You don’t need to be an engineer, but you need to be conversant enough to partner with one as an equalStrong, confident communication. You can walk senior leadership through a complex model without losing themGenuine comfort building an analysis from a loosely defined, half-formed business question. You don’t wait for someone to hand you a clean briefFP&A, strategic finance, corporate finance, or similar experience with genuinely strong financial modeling skills