Engineering Manager

Posted 2 Days Ago
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San Francisco, CA, USA
Hybrid
220K-300K Annually
Senior level
Edtech
The Role
Lead engineering teams at Speak, focusing on AI-driven language learning solutions. Manage engineers, drive technical transformation, and collaborate closely with product and design teams.
Summary Generated by Built In
About us

Our mission is to reinvent the way people learn, starting with language.

Learning a language can change a life by opening doors to new cultures, careers, and communities. Two billion people around the world are actively trying to learn a language, but the best way to learn (one-on-one tutoring) is hard to access at scale and hasn’t been meaningfully improved in decades. Speak is building a human-level, AI-powered tutor in your pocket: a conversation-first experience that lets learners actually speak, get instant feedback, and progress through carefully designed lessons. The result is a complete path from beginner to confident speaker across multiple languages.

Speak first launched in South Korea in 2019, where Speak has now become the number one language learning app, and we now serve learners across many markets and 15+ languages. Speak is one of the world’s leading AI companies, with over $150m raised in venture investment from OpenAI, Accel, Founders Fund, Khosla Ventures, and more, with a distributed team across San Francisco, Seoul, Tokyo, Taipei, and Ljubljana.

About This Role

We're looking for experienced Engineering Managers to lead critical engineering teams at Speak - the world's leading AI-powered language learning app. This is an extraordinary moment to join us: we're in the middle of a fundamental agentic shift in software development, and are embracing the change.

You'll lead engineers working on some of the most compelling problems in consumer AI, from building realtime voice AI systems to designing LLM orchestration platforms that power millions of personalized learning conversations to scaling inference infrastructure across global markets. The technical surface area is deep, spanning custom ML models, voice agent platforms, LLM tooling, and production infrastructure.

As an EM at Speak, you’ll also be a key driver of our agentic engineering transformation, helping your team evolve from "using AI to code faster" to designing the systems, environments, and feedback loops that enable agents to do increasingly autonomous, high-quality work. We believe this shift is creating a massive and widening gap between teams that fully embrace it and those that don't, and we're building for the former.

As part of this, we’re looking for EMs that are excited to use coding agents to get close to the metal again, stay deeply in the details of your team's work, and lead by example.

What you'll be doing
  • Leading and managing a team of engineers while setting strong output and productivity expectations

  • Contributing technically, both through coaching and leadership as well as directly contributing: e.g. shipping smaller projects, bugfixes, and improving the agent environment using coding agents

  • Driving your team's agentic engineering transformation: constantly asking what's still being done manually, identifying slowdowns and roadblocks, and actively closing the gap

  • Setting the pace and driving velocity while articulating and setting a high quality bar

  • Collaborating closely and effectively with partner functions like Product/Design/many more to execute effectively in the AI era

  • Proactively pushing for changes to shared infrastructure, tooling, and systems that help the broader engineering org become more agentic

  • Building and maintaining a healthy, high-performing team culture

What we're looking for
  • 8+ years of IC software engineering experience on fast-paced, high performance teams

  • 4+ years of direct team management experience

  • Strong backend, systems, platform/infra, or performance background

  • Deeply technical and building faster than ever with coding agents

  • High agency but low ego

  • Strong conviction that 10x engineering output is possible with agentic tools and practices

  • Proven ability to drive velocity, hold a high quality bar, and give direct performance feedback

  • Excited about working in-person in San Francisco at least 3-4 days per week

Nice to haves

  • Background in AI-native products and systems

  • Track record of driving org-wide developer productivity or tooling initiatives

Why work at Speak
  1. Join a fantastic, tight-knit team at the right time: we're growing very quickly, we've most recently raised our Series C from some of the top investors in the valley, and we've achieved product-market fit in our initial markets. You'd join at a magical time when a single person could significantly change the course of the company.

  2. Do your life's work with people you’ll love working with: we care strongly about our craft and want every person at Speak to feel like they're growing every day. We believe in the idea that working with people you both enjoy and have respect for makes everything better. We hire thoughtfully and only work with people we admire deeply.

  3. Global in nature: We're live in over 40 countries and launching in a number of new markets soon. We have dedicated offices in San Francisco, Ljubljana, Seoul, and Tokyo, and you’ll have the opportunity to talk to users in each of these regions on a regular basis as well as travel.

  4. Impact people's lives in a major way: Learning a language is one of the single most life-changing skills one can learn, and right now 99% of people never achieve their goal because the process is broken. We’re helping millions of people achieve their goals and improve their lives.

Speak does not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Top Skills

AI
Coding Agents
Machine Learning
Ml Models
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The Company
San Francisco, CA
191 Employees

What We Do

Speak is a language learning app that sets users on the path to fluency with the world’s most advanced AI tutor. Built on the core learning philosophy of getting users speaking out loud as much as possible, Speak's AI language-learning experience encourages dynamic two-way dialogue through personalized content and real-time speech recognition. Speak was founded by Connor Zwick and Andrew Hsu in 2016 to democratize access to high quality language education through AI. Backed by Y Combinator, Open AI, Founders Fund, Khosla Ventures, Matrix Partners and more, Speak is a series B startup with a global presence and offices in San Francisco, Seoul, Tokyo, and Ljubljana. Featured by Apple as the ‘App of the Day’ and ‘Best New App’, Speak is hiring across the globe. Come join us as we teach the next billion people English and reinvent the way the world learns, staring with language

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