DOIT Software

We are looking for an AI-First Golang Team Lead for one of our product engineering pods: a hands-on engineer who uses AI to ship fast and acts as the face of their pod towards clients and leadership.

⚠️IMPORTANT: This is not a traditional coding role. You’ll use Claude Code and other AI tools to 10x your output, always thinking about how the product or feature you are working on benefits the user. Also: we have no QA team, you OWN the quality of what you ship!

🧭About this role: every engineer on the team already owns their work end-to-end (IC + DRI). Everyone in the pod is, in effect, their own architect and lead developer. So this role is not about being the strongest techie in the room or telling people how to build.

A Team Lead is the spokesperson, coordinator, and facilitator for their pod, internally with product, design, and leadership, and externally with clients. You come from the management path, not the deep-specialist path: you have seen a lot as a developer and have consciously decided that enabling a team, working with clients and driving product outcomes is what energizes you now, not coding all day.

You remain a hands-on engineer. Expect roughly 30-40% of your week on coordination, client and product work, and the rest as an individual contributor. This is not an HR-style people-management role: no performance reviews, no career coaching. As we scale, light one-on-ones and check-ins may become part of it, but the job is coordination and delivery, not administration.

🧑 💻 What you’ll actually do:

• Be the spokesperson for your pod, internally with product, design, and leadership, and externally with clients and partners.
• Coordinate work across the pod: break initiatives into chunks, sequence them, surface blockers, and facilitate hand-offs (lightweight project management; we deliberately have no project managers).
• Gather client requirements first-hand and funnel them straight into the pod so nothing gets lost in translation.
• Represent your pod in product planning sessions and bring a strong product-driven point of view to scoping and trade-offs.
• Help pod members with product decisions and prioritization, enabling engineers who may be technically stronger than you.
• Contribute hands-on as an engineer: own features end-to-end, use Claude Code to generate Golang backend code, review AI output for quality and architectural fit.
• Join client meetings to align on requirements, report on delivery, and keep the relationship professional and calm.

📚 Our stack:

• Backend: Go monorepo (no framework, 3+ services).
• Hosting: PaaS-managed containers; local setup fully mirrors production via Docker Compose.
• Tools: Jaeger tracing, Betterstack (Logging, Alerting), Redis Asynq queue.
• Databases: PostgreSQL, Redis.
• AI tooling: Claude Code (mandatory).

🚢 Products you will lead a pod on:

• An AI search & recommendation engine for major travel enterprises: heavy client integration work (SSO, security reviews, GDS integrations) with demanding enterprise customers.
• A content enrichment API: high-scale, data- and AI-focused backend work.
• Partner and supplier integrations, data ingestion pipelines, LLM providers.

✅ You must have:

• 2-3+ years of technical leadership experience leading a team, squad, pod, or similar unit (a hard must; think team lead or early-stage engineering manager).
• A developer’s background (minimum 5 years): you have seen production reality with your own hands before moving towards leading people.
• A genuinely product-driven mindset: you think about user value and business outcomes before implementation.
• Comfort facilitating and coordinating a pod without relying on formal authority.
• Willingness and ability to take part in client meetings and act as the external face of your pod.
• Excellent spoken and written English for planning sessions, stakeholder updates, and client conversations.
• Ownership mentality with a strive for elegantly simple, high-quality solutions; you test your own work thoroughly since we have no QA team.
• Proven experience using Claude Code; share specific examples.
• Solid Golang experience; you’ll review AI’s code, and you must understand how it works.
• Ability to do on-call once in a while to help maintain our platform’s reliability & uptime.
• ⚠️ European or African timezones (±3 hours from CET).
• Available full-time (40 hours/week).

❤️ You are a great fit if you:

• Made the classic developer’s fork-in-the-road decision: lifelong engineer or leading people, and chose people, clients, and product.
• Are energized by product planning sessions and have opinions about what the pod should build next, not just how.
• Are comfortable being the face of your pod, in internal planning rooms and on calls with enterprise clients.
• Enjoy enabling engineers who are technically stronger than you.
• Ship fast but always verify it actually works; think “how can AI build this?” as your first instinct.
• Get frustrated when development takes weeks instead of days.

‼️Things to consider before applying that won’t be a match:

• This would be your first leadership role.
• You see the lead as the chief architect who makes the technical decisions for the team.
• You are looking for an HR-focused people-management role built around performance reviews and career coaching.
• You want to lead a team without staying hands-on in the codebase.
• You would rather not take part in client meetings or stakeholder-facing conversations.
• You prefer to focus on execution and leave product planning to others.
• You rely on formal authority to get a team moving.
• You have never used Claude Code or similar AI coding tools.
• You are outside European/African timezones.

We are currently transforming our sales function into a scalable, data-driven, AI- and automation-powered sales engine. We are looking for a Sales Manager who will be responsible for executing the company’s sales strategy through an AI- and automation-enabled sales system.

The role combines outbound campaign execution, AI-assisted prospect communication, lead qualification, sales calls, closing, and account management.

The person will work with strategy and campaign requirements provided by Marketing, use existing AI agents and automation workflows, apply commercial judgment to their outputs, and turn qualified opportunities into clients and long-term relationships.

Key responsibilities

• Execute outbound campaigns based on Marketing-defined strategy and requirements, owning campaign setup, execution, pipeline progression, conversion, and closing.
• Use AI and automation for prospect research, communication, qualification, replies, follow-ups, and repetitive sales activities. Review outputs critically and step in personally when human judgment, direct communication, or negotiation is needed.
• Orchestrate and improve AI agents by adjusting prompts, instructions, context, examples, and workflow logic. Identify opportunities for new agents or automations and create them independently when possible or work with the Automation team on more complex implementations.
• Conduct discovery and sales calls, understand client needs, present relevant staffing and recruitment services, handle objections and commercial discussions, and move opportunities toward closing.
• Manage client relationships after closing, coordinate handover to delivery, maintain regular communication, identify risks and changing needs, and look for repeat business and account expansion opportunities.
• Maintain accurate CRM and pipeline data, track agreed sales KPIs, and provide Marketing and Automation teams with feedback on lead quality, ICP accuracy, messaging, objections, market response, and workflow performance.

Required Competencies

• Minimum 3+ years of strong B2B service sales experience with international clients.
• Strong proficiency in English (C1 or strong B2 level) is required.
• Experience managing opportunities from outbound communication through qualification, sales calls, negotiation, and closing.
• Experience with LinkedIn and email outreach.
• Experience working with CRM systems and structured sales pipelines.
• Practical experience using Claude, ChatGPT, or similar AI tools in professional workflows.
• Ability to critically evaluate and improve AI-generated research, messages, replies, and recommendations.
• Ability to work with structured AI agents, automation, and no-code workflows.
• Strong commercial judgment and ability to adapt communication to each prospect and situation.
• Experience maintaining client relationships after closing.

Desirable Skills

• Experience with AI-enabled or highly automated sales processes.
• Ability to create and configure AI agents independently using prompts, instructions, context, tools, and workflows.
• Experience working with automation specialists or developers to improve sales workflows.
• Strong practical fluency with Claude, ChatGPT, Gemini, or similar LLMs.

Cultural Fit

• Ownership and accountability.
• Proactive, self-directed working style.
• Builder mindset.
• Comfort with high accountability and growth pressure.
• Honest, direct, and constructive communication.
• Collaborative, low-ego approach across functions.

We are currently transforming our sales function into a scalable, data-driven, AI- and automation-powered sales engine. We are looking for a Sales Manager who will be responsible for executing the company’s sales strategy through an AI- and automation-enabled sales system.

The role combines outbound campaign execution, AI-assisted prospect communication, lead qualification, sales calls, closing, and account management.

The person will work with strategy and campaign requirements provided by Marketing, use existing AI agents and automation workflows, apply commercial judgment to their outputs, and turn qualified opportunities into clients and long-term relationships.

Key responsibilities

• Execute outbound campaigns based on Marketing-defined strategy and requirements, owning campaign setup, execution, pipeline progression, conversion, and closing.
• Use AI and automation for prospect research, communication, qualification, replies, follow-ups, and repetitive sales activities. Review outputs critically and step in personally when human judgment, direct communication, or negotiation is needed.
• Orchestrate and improve AI agents by adjusting prompts, instructions, context, examples, and workflow logic. Identify opportunities for new agents or automations and create them independently when possible or work with the Automation team on more complex implementations.
• Conduct discovery and sales calls, understand client needs, present relevant staffing and recruitment services, handle objections and commercial discussions, and move opportunities toward closing.
• Manage client relationships after closing, coordinate handover to delivery, maintain regular communication, identify risks and changing needs, and look for repeat business and account expansion opportunities.
• Maintain accurate CRM and pipeline data, track agreed sales KPIs, and provide Marketing and Automation teams with feedback on lead quality, ICP accuracy, messaging, objections, market response, and workflow performance.

Required Competencies

• Minimum 3+ years of strong B2B service sales experience with international clients.
• Strong proficiency in English (C1 or strong B2 level) is required.
• Experience managing opportunities from outbound communication through qualification, sales calls, negotiation, and closing.
• Experience with LinkedIn and email outreach.
• Experience working with CRM systems and structured sales pipelines.
• Practical experience using Claude, ChatGPT, or similar AI tools in professional workflows.
• Ability to critically evaluate and improve AI-generated research, messages, replies, and recommendations.
• Ability to work with structured AI agents, automation, and no-code workflows.
• Strong commercial judgment and ability to adapt communication to each prospect and situation.
• Experience maintaining client relationships after closing.

Desirable Skills

• Experience with AI-enabled or highly automated sales processes.
• Ability to create and configure AI agents independently using prompts, instructions, context, tools, and workflows.
• Experience working with automation specialists or developers to improve sales workflows.
• Strong practical fluency with Claude, ChatGPT, Gemini, or similar LLMs.

Cultural Fit

• Ownership and accountability.
• Proactive, self-directed working style.
• Builder mindset.
• Comfort with high accountability and growth pressure.
• Honest, direct, and constructive communication.
• Collaborative, low-ego approach across functions.

We are looking for a Junior-Middle Backend Developer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.

Responsibilities:

• Day-to-day product implementation.
• Develop integrations with AI (e.g., Perplexity, OpenAI) & 3rd party API (e.g., CRMs).
• Leverage your prompt engineering skills to maximize the outcome.
• Customer discovery. That includes: internal product conversations, as well as joining some customer calls (Maybe not from day one, but definitely later on).

Requirements:

• At least 1 year of experience working in a product company/startup.
• 1-3 years of software development experience.
• Experience with Node.js, TypeScript, JSON, REST API, Git.
• Experience in LLM/RAG, MCP, and AI agent development and prompt engineering.
• Database design and optimization (SQL).
• Development in cloud infrastructure (AWS/GCP/Azure).
• Patterns for asynchronous task processing (RabbitMQ, SQS, or similar).
• Experience with n8n/make will be a great plus.
• Excellent verbal communication skills.
• Excellent English, minimum B2 level.
• Absolutely customer-centric and flexible in a dynamic environment (i.e., fully tolerant of shifting priorities daily).

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP, but negotiable.

What else will you get:

• Learning how a startup grows.
• Direct impact on product and company strategy.
• Deliver value directly to paying B2B clients.
• You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process:

• 30-45 min pre-screen interview with a recruitment manager.
• 30 min call with the client.
• A technical deep-dive interview, most likely with online coding (conducted by the client).