Description

About Superbench

Superbench is building the next generation of AI-powered sales and operations software for service businesses. We help companies that rely on inbound conversations - across WhatsApp, web chat, and other messaging channels - convert more leads, automate manual sales work, and operate more efficiently using conversational AI and real-time analytics.

Our platform combines an AI-native CRM, conversational sales agents, scheduling automation, and marketing analytics into a single system that directly impacts revenue for our customers. As we pivot and double down on AI-enabled product development, we're rebuilding our engineering foundation to move faster, ship higher-quality software, and turn ambitious product ideas into production-ready systems.

About the Role

As Lead Full-Stack Engineer, you will be the most senior full-time engineer at Superbench, working closely with the CEO, CPO, and CTO to define and execute the company's technical direction. This is a hands-on leadership role for someone who thrives in early-stage environments, enjoys owning systems end-to-end, and can turn ambiguity into well-structured, scalable solutions.

You'll be responsible not just for writing code, but for raising the engineering bar across the company - shaping architecture, improving reliability, guiding other engineers, and helping Superbench transition from scrappy builds to a robust, scalable platform.

Own the design and implementation of core backend and frontend systems across the Superbench platform
Lead architectural decisions across APIs, services, databases, and integrations, with a strong focus on scalability, reliability, and maintainability
Build and evolve AI-powered customer-facing features, including conversational flows, RAG pipelines, and agentic systems
Work hands-on across the stack: Node.js/TypeScript and Python backend services, React frontend applications, and supporting infrastructure
Improve engineering standards around testing, observability, code quality, and deployment practices
Lead and mentor a small engineering team through technical direction, code reviews, and day-to-day guidance
Collaborate closely with product and leadership to translate business goals into clear technical plans and execution
Take ownership of cloud infrastructure, CI/CD pipelines, and DevOps practices to support rapid, safe iteration
Play a key role in rebuilding and strengthening the engineering function as the company pivots and scales

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Requirements

We are looking for a Lead Engineer who is excited to face challenges head-on, take ownership of the tech stack, and make key technical decisions to drive Superbench forward.

Must have:

8+ years of professional software engineering experience, with a strong focus on building and operating production systems
6+ years of backend engineering experience, primarily using Node.js frameworks (e.g. Express, NestJS) and modern TypeScript
4+ years of frontend engineering experience building user-facing applications with React
Deep understanding of JavaScript and TypeScript
Strong experience designing and building scalable backend architectures, APIs, and services with clear ownership and reliability in mind
Solid experience with relational databases (e.g. PostgreSQL, MySQL), including schema design and query optimization
Hands-on experience with NoSQL databases (e.g. MongoDB)
Hands-on Python experience (2+ years), particularly for data processing, AI workflows, or backend services
Practical experience integrating AI into customer-facing products, including:
- Vector embeddings and similarity search
- Retrieval-Augmented Generation (RAG) pipelines
- Agentic or multi-step AI workflows
- AI frameworks and tools such as OpenAI SDK, LangGraph, MCP, or similar
Hands-on experience with vector databases (e.g. Pinecone or equivalents) in production or near-production systems
Experience working with cloud platforms, preferably Google Cloud Platform (GCP), including:
- Infrastructure-as-code (e.g. Terraform)
- CI/CD pipelines and automated deployments
- Operational best practices (monitoring, logging, incident response)
Strong understanding of DevOps practices, including environment management, release processes, and observability
Proven experience leading or mentoring engineers, making technical decisions, and setting engineering standards
Comfortable working in an early-stage startup environment with ambiguity, shifting priorities, and high ownership
Strong communication skills, with the ability to explain technical decisions to both technical and non-technical stakeholders
Strong spoken and written English

Nice to have:

Prior experience as a Lead Engineer, Staff Engineer, or early engineering hire at a startup
Experience rebuilding or significantly improving an existing codebase or engineering culture
Familiarity with event-driven architectures, background jobs, or message queues
Experience building real-time or conversational systems (e.g. chat, messaging, CRM, workflow automation)
Exposure to analytics, data pipelines, or reporting systems
Experience working with multi-tenant SaaS platforms
Familiarity with security best practices, authentication/authorization, and data privacy considerations
Previous experience working with global or remote-first teams

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About the interview process:

1. Basic-fit and screening interview (20-30 minutes)

A conversation with our CEO to get to know you better and understand your background.

Review your experience and technical depth at a high level
Discuss your interest in Superbench and early-stage roles
Assess alignment with our team, culture, and expectations

2. Take-home assessment (3-4 hours)

A practical, real-world project designed to evaluate how you think and build across both backend and frontend.

Focus on architecture, code quality, and decision-making
Reflects the types of problems you'd work on at Superbench
We value clarity and trade-offs, not perfection

3. Technical interview (90 minutes)

A live technical session with our CTO to walk through your take-home submission.

Deep dive into your implementation and architectural choices
Discussion of backend, frontend, and AI-related decisions
Explore improvements, alternatives, and trade-offs
Live problem-solving or extension of your solution

4. Deep dive interview (45-60 minutes)

A final conversation with our CPO focused on leadership, ownership, and long-term fit.

Review past roles, decisions, and lessons learned
Discuss how you lead, mentor, and make technical calls under uncertainty
Align on expectations and what success looks like in this role

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Benefits

Flexibility & Work Style

Fully remote role with a distributed team
Flexible working hours - we care about outcomes, not clock-watching
Autonomy to structure your day, with clear communication and accountability

Ownership & Impact

A true leadership role in an early-stage startup
Ownership over core technical decisions during a critical company pivot
Direct influence on product direction, architecture, and long-term technical strategy

Compensation & Equipment

Competitive compensation, commensurate with experience and seniority
MacBook Pro provided

Time Off

Unlimited PTO (after a 3-month probationary period)

Growth & Learning

Grow into a long-term technical leader as the company scales
Deepen your expertise in AI-first product development, including conversational AI, RAG, and agentic systems
Work closely with founders and leadership
Freedom to experiment, learn, and introduce better tools, processes, and practices

Lead Full-Stack Engineer (Remote)