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ClosedPosted 380 days ago

Director of Engineering

Scrabble

Where
remote
Work mode
Remote

This posting closed on 2026-10-23.

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This job: posted 380 days ago

The posting

Director of Engineering

## Company Overview Company details are not specified.

## Job Summary We are seeking a Director of Engineering to lead our engineering efforts as we scale. This role will involve driving technical excellence, guiding high-performance teams, and collaborating with AI scientists to transition research into production. The successful candidate will also act as a trusted partner during sales conversations, shaping feasibility and feature discussions with customers.

## Responsibilities - Team Leadership: Build, mentor, and scale high-performing engineering teams specializing in Golang, cloud technologies, and systems. - Technical Strategy: Define and execute the engineering roadmap to ensure optimal performance, scalability, and reliability of our systems. - Research to Production: Collaborate closely with AI scientists to translate cutting-edge research into robust, production-ready systems. - System Design: Architect low-latency, high-concurrency distributed systems using technologies such as WebSockets, streaming APIs, and inference runtimes. - Customer Collaboration: Support sales and customer teams in feasibility assessments, solution architecture, and discussions around feature trade-offs. - Engineering Culture: Instill best practices related to code quality, testing, security, and DevOps (including CI/CD, observability, and scalability). - Cross-functional Influence: Partner with Product and Go-To-Market (GTM) teams to align engineering priorities with customer value.

## Qualifications - Experience: 8+ years of software engineering experience, including at least 3 years in a leadership role. - Technical Skills: - Strong expertise in Golang (systems programming, concurrency, performance optimization). - Deep understanding of distributed systems and cloud platforms (Azure, Google Cloud Platform, Amazon Web Services). - Proficient in containerized deployments utilizing Kubernetes and Docker. - Experience working with AI/ML researchers and transitioning experimental models into finalized production systems. - Leadership Ability: Proven track record of leading and scaling teams while being hands-on when necessary. - Communication Skills: Excellent ability to engage with both technical and non-technical stakeholders. - Customer Engagement: Experience with customer-facing technical discussions regarding feasibility and architecture trade-offs.

## Preferred Skills - Exposure to speech/audio AI systems (ASR, TTS, NLP) or high-throughput real-time systems. - Previous experience in a startup or early-stage company environment.

## Experience - A minimum of 8 years of software engineering experience, with at least 3 years in an engineering leadership capacity.

## Environment - Details regarding the typical work setting, location, or physical/environmental conditions are not specified.

## Salary - Salary information is not provided.

## Growth Opportunities - Information on career advancement opportunities within the company is not specified.

## Benefits - Details regarding offered benefits, such as insurance, paid leave, or work policies, are not provided.

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