Job Application for Growth Experiment Engineer at Telnyx

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About Telnyx

Telnyx is an industry leader that's not just imagining the future of global connectivity—we're building it. From architecting and amplifying the reach of a private, global, multi-cloud IP network, to bringing hyperlocal edge technology right to your fingertips through intuitive APIs, we're shaping a new era of seamless interconnection between people, devices, and applications.

We're driven by a desire to transform and modernize what's antiquated, automate the manual, and solve real-world problems through innovative connectivity solutions. As a testament to our success, we're proud to stand as a financially stable and profitable company. Our robust profitability allows us not only to invest in pioneering technologies but also to foster an environment of continuous learning and growth for our team.

Our collective vision is a world where borderless connectivity fuels limitless innovation. By joining us, you can be part of laying the foundations for this interconnected future. We're currently seeking passionate individuals who are excited about the opportunity to contribute to an industry-shaping company while growing their own skills and careers.

About Telnyx

About the Team

The RevOps team is evolving from a team that supports GTM tools into a team that builds the automation, data, and experimentation layer behind Telnyx’s growth engine. We are building AI agents, data workflows, internal tools, and MVP systems that help GTM teams identify opportunities, run experiments, validate ideas quickly, and scale the motions that work.

This role sits at the intersection of RevOps, Growth, Sales, Marketing, Partnerships, Business Development, GTM Systems, and applied engineering. It is not a traditional sales ops role. It is a technical builder role for someone who can turn ambiguous GTM problems into working prototypes, testable workflows, and production-ready automations.

The Role

We are looking for a Growth Experiment Engineer to build and validate MVP solutions for GTM growth experiments in weeks, not months.

You will partner with Growth, Sales, Marketing, Business Development, RevOps, and GTM leadership to identify high-leverage experiments across pipeline creation, conversion, expansion, events, partner motions, product-led growth, outbound, inbound, and customer lifecycle workflows.

Your job is to move fast: understand the growth hypothesis, build the smallest useful technical solution, instrument it, test it with real users or real data, and decide whether to scale it, iterate it, or shut it down.

What You'll Do

Build MVP systems, automations, agents, scripts, and internal tools that support GTM growth experiments
Ship working prototypes in weeks, not months, then validate them with real users, real prospects, or real GTM data
Translate growth hypotheses into technical workflows with clear inputs, outputs, success metrics, and failure conditions
Create account research, enrichment, signal-monitoring, event follow-up, outbound-trigger, expansion, and product-led growth workflows using internal and external data sources
Build AI-assisted workflows for research, routing, qualification, prioritization, follow-up, call analysis, and next-best-action recommendations
Work across APIs, webhooks, structured data, automation tools, lightweight code, event data, usage data, data warehouses, and internal agents
Instrument experiments so they can be measured quickly: conversion rate, meeting creation, opportunity creation, pipeline influenced, time saved, adoption, quality, or learning velocity
Decide when to scale an experiment, when to iterate, and when to kill it
Turn successful MVPs into repeatable workflows, durable automations, or specs for engineering/data partnership
Document systems clearly so they can be operated, debugged, improved, and handed off

What You'll Bring

Experience building technical GTM, RevOps, growth, sales ops, marketing ops, or automation systems
Ability to prototype quickly using APIs, webhooks, structured data, SQL, lightweight scripts, automation tools, LLM workflows, or internal tools
Strong understanding of B2B GTM motions: outbound, inbound, product-led growth, events, partner-led growth, expansion, pipeline creation, and handoffs
Comfort figuring out unfamiliar tools, reading API docs, connecting systems, moving data, triggering workflows, and building MVP solutions quickly
Technical judgment to choose the right level of build: manual test, spreadsheet, script, workflow automation, agent, internal tool, or production system
Ability to define success metrics before building and evaluate results after launch
Strong debugging instincts and comfort working through messy data, unclear requirements, and incomplete systems
Clear communication with growth, sales, marketing, operations, and technical stakeholders
Bias toward shipping, measuring, learning, and either scaling or killing experiments quickly

Nice to Have

Experience with Python, SQL, JavaScript, APIs, webhooks, or lightweight app/internal tool development
Experience building AI-assisted prospecting, research, outbound, event follow-up, call analysis, or customer expansion workflows
Familiarity with LLM workflows, prompt design, agentic systems, vector search, RAG, or AI-assisted GTM systems
Experience designing growth experiments, funnel tests, campaign workflows, or signal-based GTM motions
Experience with enrichment, attribution, intent signals, product usage data, event data, account scoring, or routing logic
Experience working in telecom, infrastructure, SaaS, or developer-facing products

What Success Looks Like

In the first 90 days, you will:

Identify the highest-leverage GTM growth experiments blocked by manual work, missing data, or lack of automation
Ship multiple MVP workflows or tools across areas like prospecting, enrichment, event follow-up, signal-based outreach, expansion, product-led growth, or qualification
Validate each MVP against clear success metrics and decide whether to scale, iterate, or stop
Establish a repeatable experiment intake, build, measurement, and handoff process
Document what worked, what failed, what should become durable infrastructure, and what should not be repeated

Over time, success means:

GTM teams can test new growth motions in weeks instead of waiting months for tooling or engineering support
More growth ideas are validated with real data before large investments are made
Successful experiments become reusable automations, internal tools, or AI agent workflows
Failed experiments are identified quickly and cheaply
Pipeline creation, conversion, expansion, and GTM learning velocity improve without linear increases in headcount or software spend
RevOps becomes a technical experimentation engine for all growth GTM teams, not just a support function

Why This Role Matters

Telnyx is building toward an AI-powered growth engine. That requires more than maintaining GTM tools — it requires technical builders who can rapidly turn growth ideas into working systems, validate them with real data, and scale only what works.

This role helps bridge the gap between GTM strategy and technical execution. The goal is to make growth more experimental, more measurable, and more scalable by building the MVP automation layer that lets GTM teams move faster.

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Growth Experiment Engineer

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