Senior Technical Product Manager, Connectors

ABOUT the company

AI is changing how the world communicates — and the company is leading that transformation.

We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.

At the company, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues—Work together, win together; Find a way or make one; Dance in the customer's shoes; Quicker than they expect; Quality is Job 1—guide everything we do. We are trusted by Intel Corporation [link for members] Canva [link for members] the United States Department of Defense [link for members] the United States Air Force [link for members] ASICS [link for members] and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we’re building a category-defining company in a $50B+ global translation market being redefined by AI.

ABOUT THE ROLE

The company is seeking a Senior Technical Product Manager to own our connector strategy and roadmap, making integrations a reliable, scalable part of our enterprise platform.

Our connectors link the company with customers’ content management systems, repositories, and business applications, securely moving content, metadata, and workflow status between systems.

You’ll combine strong product judgment, deep integration expertise, and customer-facing leadership to guide the connector portfolio from discovery through launch and ongoing improvement. You’ll work closely with Engineering, Solutions, Forward-Deployed Engineering, Customer Engineering, Customer Success, and customers to turn complex integration needs into scalable product capabilities.

This is a technical product role for someone who can read code, evaluate integration designs, lead validation, and work directly with customers. You’ll also use AI tools and agentic workflows to accelerate discovery, analysis, documentation, and execution while applying your own judgment.

Connectors will be your primary focus. As part of a small Product team, you may take on additional product responsibilities as business priorities evolve.

WHAT YOU’LL DO

• Own connector strategy and the roadmap. Set priorities, make tradeoffs, and sequence delivery based on customer needs, business impact, technical constraints, and engineering capacity.

• Lead new connectors and capabilities from discovery through launch. Define requirements, validate prerequisites, establish acceptance criteria, and coordinate delivery and customer readiness.

• Turn customer implementations into scalable products. Partner with Forward-Deployed Engineering to identify repeatable needs, translate field learnings into product investments, and establish clear handoffs between customer-specific implementations and reusable connector capabilities.

• Evaluate technical feasibility. Review third-party documentation, assess integration approaches, and challenge assumptions before engineering commits to delivery.

• Own validation and acceptance testing. Develop and execute internal and customer-facing test plans covering integration behavior, file and tag handling, and customer requirements. Document results, defects, and release-readiness decisions in partnership with technical teams.

• Drive portfolio reliability. Prioritize high-impact connector issues, establish escalation criteria, and coordinate resolution. Identify recurring failures that require product or platform improvements.

• Lead technical customer conversations. Guide discovery, setup planning, scoping, troubleshooting, and readiness discussions, explaining technical constraints clearly to different audiences.

• Enable implementation and support teams. Create documentation, runbooks, and guidance that help teams handle routine connector setup and support.

• Keep stakeholders aligned. Maintain a clear view of connector status, risks, ownership, priorities, and customer impact.

• Use AI effectively. Apply AI tools and agentic workflows to improve the speed and quality of research, scoping, testing, documentation, and troubleshooting.

HOW YOU’LL WORK WITH THE TEAM

You’ll be accountable for the connector portfolio’s product direction, priorities, readiness, and delivery coordination. Engineering owns production implementation and quality, while Forward-Deployed Engineering owns customer-specific implementation and field delivery.

You’ll enable the teams responsible for routine setup and support, stepping in when issues create broader risks to onboarding, customer relationships, or revenue. Your focus will include resolving recurring problems through product improvements.

Broader analytics and data-platform ownership sits outside this role, apart from limited work supporting connector needs.

WHAT YOU’LL BRING

• Product ownership: A track record of owning a technical product or integration portfolio, setting roadmap priorities, managing tradeoffs, and driving ambiguous work through delivery.

• Technical depth and a builder mindset: Ability to read code, reason about implementation tradeoffs, participate in architecture discussions, and build prototypes or tools when useful. Production development is owned by Engineering, but you should be comfortable doing technical work directly.

• AI and Agentic fluency: Demonstrated ability to design and use agentic workflows for research, requirements, analysis, documentation, or troubleshooting. You evaluate outputs critically and remain accountable for decisions.

• Deep integration expertise: Strong understanding of APIs, SDKs, authentication, webhooks, data mapping, file round-tripping, rate limits, retries, error handling, and observability.

• Cross-platform experience: Experience integrating multiple third-party systems and learning unfamiliar APIs, data models, and constraints. Relevant backgrounds include integration automation, embedded integration platforms, developer platforms, and enterprise SaaS.

• Strong product judgment: Ability to write clear specifications, prioritize competing customer needs, and distinguish customer-specific requests from systemic product opportunities.

• Customer-facing leadership: Confidence leading technical discovery and troubleshooting with customers and explaining complex topics to localization managers, administrators, and business stakeholders.

• Clear communication: Ability to produce concise decisions, plans, documentation, status updates, and escalation guidance for technical and nontechnical teams.

NICE TO HAVE

• Experience with CMS, content management, localization, or translation workflows.

• Experience with platforms such as Workato, Zapier, Tray, Prismatic, Paragon, or Merge.

• Familiarity with TypeScript or a similar modern programming language.

• Experience supporting enterprise integrations in high-assurance or regulated environments.

• Familiarity with connector usage analytics and basic data analysis.

• Experience introducing AI-enabled working practices across product and engineering teams.

WHAT SUCCESS LOOKS LIKE IN YOUR FIRST 6–12 MONTHS

• New connector work reaches Engineering with clear scope, validated prerequisites, acceptance criteria, and defined ownership.

• Implementation and support teams have effective setup documentation, runbooks, and escalation guidance.

• Recurring reliability issues inform prioritized product and platform improvements.

• Connector-related onboarding delays and negative impacts on customer health begin to decline.

• Roadmap decisions balance strategic priorities with urgent customer needs.

• High-impact connector issues have clear owners, priorities, status, and resolution plans.

• AI and agentic workflows measurably improve the speed and quality of discovery, scoping, documentation, analysis, and issue resolution.

OUR STORY

Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn’t used for enterprise products and services inside the company.The quality just wasn’t there. So they set out to build something better. The company was born.

The company has been a machine learning company since its founding in 2015. At the time, machine translation didn’t meet the quality standard for enterprise translations, so the company assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, the company has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.

With AI innovation accelerating and enterprise demand growing, the next phase of the company’s journey is just beginning.

OUR TECH

What sets our platform apart

• Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent

• Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing

• 100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation

• Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review

The company IN THE NEWS

• Featured in The Software Report’s [link for members] Top 100 Software Companies!

• the company makes it onto the Inc. 5000 List [link for members]

• the company’s continues to be an intellectual powerhouse, holding numerous patents [link for members] that help power the most efficient and sophisticated AI and language models in the industry.

• Check out all our news on our website [link for members]

Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to the company's Privacy Policy at [link for members]

At the company, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at [link for members]

The company is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.