DOIT Software

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.  

Responsibilities: 

- Autonomously architect, prototype, & build the product from the ground up.

- Develop integrations with AI (e.g. Perplexity, OpenAI) & 3rd party API (e.g. CRMs).

- Leverage your prompt engineering skills to maximize the outcome.

- Horizontally work with founders in discussions on business & product topics.

Requirements: 

- 1+ years of experience in a SaaS/startup previously. 

- Senior-level engineer with 5+ years of software development experience. 
- Experience in RAG & AI agents development and prompt engineering.
- API development and integration experience.
- 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.

- Authentic obsession with giving customers the best.
- Excellent verbal communication skills.

- Excellent English, strong B2 level minimum.

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP / by mid-April.
• Also, you will get founding member equity % in addition to your fixed salary.

What else will you get:

- Learning how a startup grows.

- Direct impact on product and company strategy.

- Deliver value directly to paying B2B clients.

- Opportunity to build and lead a team and department.

- You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process: 

• 45 min pre-screen interview with a recruitment manager
• 15-30 min call with the client
• a technical deep-dive interview, most likely with online coding (conducted by client)
• online call with the team or key team members

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.  

Responsibilities: 

- Autonomously architect, prototype, & build the product from the ground up.

- Develop integrations with AI (e.g. Perplexity, OpenAI) & 3rd party API (e.g. CRMs).

- Leverage your prompt engineering skills to maximize the outcome.

- Horizontally work with founders in discussions on business & product topics.

Requirements: 

- 1+ years of experience in a SaaS/startup previously. 

- Senior-level engineer with 5+ years of software development experience. 
- Experience in RAG & AI agents development and prompt engineering.
- API development and integration experience.
- 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.

- Authentic obsession with giving customers the best.
- Excellent verbal communication skills.

- Excellent English, strong B2 level minimum.

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP / by mid-April.
• Also, you will get founding member equity % in addition to your fixed salary.

What else will you get:

- Learning how a startup grows.

- Direct impact on product and company strategy.

- Deliver value directly to paying B2B clients.

- Opportunity to build and lead a team and department.

- You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process: 

• 45 min pre-screen interview with a recruitment manager
• 15-30 min call with the client
• a technical deep-dive interview, most likely with online coding (conducted by client)
• online call with the team or key team members

We are seeking a skilled Full-Stack Developer who can handle frontend tasks (React) and, if needed, some back-end tasks (Nest.js). This is a full-time, long-term project with our client from Norway.

‼️ Important: The client would like the developer to come to Norway for onboarding for a few weeks/month (for onboarding, personal introduction). The client will cover all the expenses related to this. ‼️

About the project: The client is developing a product for the maritime industry that will analyze and help plan energy-saving measures to reduce fuel use and greenhouse gas emissions, and, accordingly, reduce the taxes that ship owners currently pay for their environmental footprint.

Requirements and details:

• Minimum 4 years of experience in software development.
• Experience with the required technologies: React and TypeScript (highest priority); Nest.js comes secondary.
• Experience with Microsoft SQL Server and TypeORM.
• Experience with Azure.
• Minimum Upper-Intermediate level of English.
• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — asap.

Frontend (React + TypeScript)

• React patterns: Hooks, composition, controlled/uncontrolled forms, states, and error boundaries.
• Tooling: Vite, ESLint/Prettier, code-splitting, lazy loading, asset optimization, Core Web Vitals, and MUI library.
• API clients: OpenAPI-first workflow; experience with generators like Orval and typed clients.

Backend (NestJS + TypeScript)

• Modular architecture: Modules, providers, DI, guards, interceptors, filters, pipes, and middleware.
• API design: REST standards, versioning, idempotency, pagination, consistent error contracts.
• AuthN/Z: JWT, role/permission models, secure headers

Data & Database

• TypeORM with Microsoft SQL Server (Azure SQL Database): Schema design, relations, migrations, indexing, and query performance.

CI/CD & Cloud

• GitHub Actions: Design and maintain reusable workflows for frontend and backend (build, test, lint), caching, secrets, environments, and required checks on PRs.
• Deployment pipelines: Automated deploys to dev/staging/production, integration of database migrations, basic rollback strategies, and approval gates.
• Azure App Service (Web App): Slot deployments (blue-green/staging), app settings and connection strings, health checks, and basic scaling (scale up/out).
• Azure SQL Database: Environment setup (dev/prod), connection management (firewall rules, private endpoints or equivalent), and backup/restore basics.

Observability, Security & Compliance

• Telemetry: Azure Application Insights logs/metrics/traces, dashboards, and alerting (SLOs/error budgets).

We are looking for an Autonomous Systems/Embedded Software Engineer to join a technology company specializing in navigation hardware for aerial vehicles.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Lead software R&D and integration of hardware components designed for UAV platforms.
• Move products from the early concept phase to manufacturing, delivery, support, and maintenance.
• Design and build system architecture — from application to infrastructure, prioritizing security and execution speed.
• Write clean, modular, and secure code, providing proper documentation when necessary.
• Drive reliable software delivery through automated testing and deployment pipelines.
• Developing software and hardware in the loop simulations for testing the algorithms before performing actual flights.
• Perform outdoor field tests.
• Work closely with hardware and machine learning teams to ensure real-time data processing.
• Enhance your capabilities with LLM assistants and other automations to multiply your efficiency.

Required skills:

• Continuous learning and a growth mindset.
• Self-agency in conducting research and solving problems.
• Track record of successfully developed products.
• Minimum of 3 years of commercial experience in software development. A combination of low-level programming (C, C++) and high-level programming (Python, Java, JavaScript).
• Fluency with Linux, Docker, and Bash.
• Experience in signal processing.

Preferred qualifications:

• Experience with embedded systems programming and RTOS.
• Programming experience for Ardupilot.
• Experience with MAVLink protocol.
• Data and communication encryption concepts.
• Experience with reliable development tools: static code analyzers, profilers, unit testing, continuous integration/deployment pipelines, version control systems..
• Experience with AWS tools (or other cloud service providers).
• Experience with UAVs, robotics, and RC piloting.

Key measures of success:

• Quality assurance of produced systems and the number of hardware issues in operation
• Accountable roadmap delivery
• Autonomy during task implementation
• Clear documentation

Note! When possible, add a portfolio with your application — include any shareable code examples, app interfaces, product photos, technical docs, system diagrams, or demo videos that show off your skills.

Role Mission

The Chief Sales Architect (CSA) is accountable for leading the sales function and driving growth by designing, building, and scaling an AI- and automation-powered sales engine that delivers a predictable pipeline and revenue growth, increases conversion speed and efficiency, and outperforms traditional agency sales models through data-driven experimentation and disciplined execution.

Key responsibilities

• Lead the transformation of sales into a scalable, AI- and automation-enabled operating model where repetitive work is automated, and the team focuses on higher-value activities: experimentation, process improvement, relationship-building, and conversion quality.
• Define the architecture of sales processes, communicate requirements and set priorities for the implementation team, and continuously improve automation and AI workflows to ensure they outperform manual execution and fit the company’s broader ecosystem as the business scales.
• Improve outreach effectiveness through sharper ICP and buyer persona definition, higher targeting quality, and continuous optimization of AI-assisted messaging, prompts, and workflows.
• Build and operate a predictable revenue engine across outbound, referrals, partnerships, and account expansion channels.
• Own sales strategy, pipeline generation, conversion performance, and revenue targets.
• Conduct sales calls.
• Lead and structure the sales organization, including SDR and Sales Manager functions, with clear accountability, role clarity, and performance expectations.
• Oversee the account management approach for newly won accounts to ensure strong onboarding, relationship continuity, and expansion opportunities.
• Standardize the sales process, CRM discipline, and reporting practices.
• Establish a strong performance management system through KPIs, OKRs, regular reviews, and clear accountability mechanisms.
• Ensure tight alignment between Sales, Marketing, Recruitment, and Operations to support consistent demand generation, conversion, delivery readiness, and client growth.
• Drive a culture of disciplined metrics tracking and real-time visibility into sales process efficiency and commercial performance.
• Consistently build commercial demand ahead of current delivery capacity, while partnering with other functions to help the organization scale responsibly.

Key Initiatives Under CSA Ownership

The CSA owns outcomes across:

• Outbound lead generation and continuous experimentation.
• Funnel conversion and pipeline optimization.
• AI SDR workflows, including lead response and follow-up automation.
• Trigger-based outreach driven by buying signals such as new hires, funding, and hiring gaps.
• Referral program development.
• Reactivation of former clients and lost opportunities.
• Sales knowledge systems and documentation, with Notion serving as the source of truth.

Execution may be delegated — ownership is not.

Required Competencies

• Strong B2B service sales leadership experience, ideally in IT staffing, recruitment, or tech services.
• Proven ability to build repeatable outbound and multi-channel lead generation systems.
• Strong bias toward action, experimentation, iteration, and continuous improvement.
• Strong systems thinking, with the ability to design around funnels, buying signals, workflows, and operational constraints.
• Understands sales as an integrated operating system rather than a set of isolated activities.
• Able to design commercial processes that are scalable, measurable, and repeatable.
• Uses data to challenge assumptions, improve decisions, and constructively raise performance standards.
• Able to operate both strategically and hands-on in a growing company environment.
• Proven ability to hire, coach, and scale a sales team with clear ownership and accountability.
• High standards of performance without resorting to micromanagement.
• Able to challenge peers and the CEO constructively in pursuit of better commercial outcomes.
• Builds cross-functional trust through competence, clarity, and reliability.
• Comfortable with modern sales tooling, automations, and AI-enabled systems.
• May not personally execute every workflow, but is deeply literate in modern sales systems and demanding in outcomes.

Strong advantage

• Strong practical fluency in using LLMs such as ChatGPT, Claude, and Gemini to improve sales workflows, messaging, research, and process design.

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.

Role Mission

The Chief Sales Architect (CSA) is accountable for leading the sales function and driving growth by designing, building, and scaling an AI- and automation-powered sales engine that delivers a predictable pipeline and revenue growth, increases conversion speed and efficiency, and outperforms traditional agency sales models through data-driven experimentation and disciplined execution.

Key responsibilities

• Lead the transformation of sales into a scalable, AI- and automation-enabled operating model where repetitive work is automated, and the team focuses on higher-value activities: experimentation, process improvement, relationship-building, and conversion quality.
• Define the architecture of sales processes, communicate requirements and set priorities for the implementation team, and continuously improve automation and AI workflows to ensure they outperform manual execution and fit the company’s broader ecosystem as the business scales.
• Improve outreach effectiveness through sharper ICP and buyer persona definition, higher targeting quality, and continuous optimization of AI-assisted messaging, prompts, and workflows.
• Build and operate a predictable revenue engine across outbound, referrals, partnerships, and account expansion channels.
• Own sales strategy, pipeline generation, conversion performance, and revenue targets.
• Conduct sales calls.
• Lead and structure the sales organization, including SDR and Sales Manager functions, with clear accountability, role clarity, and performance expectations.
• Oversee the account management approach for newly won accounts to ensure strong onboarding, relationship continuity, and expansion opportunities.
• Standardize the sales process, CRM discipline, and reporting practices.
• Establish a strong performance management system through KPIs, OKRs, regular reviews, and clear accountability mechanisms.
• Ensure tight alignment between Sales, Marketing, Recruitment, and Operations to support consistent demand generation, conversion, delivery readiness, and client growth.
• Drive a culture of disciplined metrics tracking and real-time visibility into sales process efficiency and commercial performance.
• Consistently build commercial demand ahead of current delivery capacity, while partnering with other functions to help the organization scale responsibly.

Key Initiatives Under CSA Ownership

The CSA owns outcomes across:

• Outbound lead generation and continuous experimentation.
• Funnel conversion and pipeline optimization.
• AI SDR workflows, including lead response and follow-up automation.
• Trigger-based outreach driven by buying signals such as new hires, funding, and hiring gaps.
• Referral program development.
• Reactivation of former clients and lost opportunities.
• Sales knowledge systems and documentation, with Notion serving as the source of truth.

Execution may be delegated — ownership is not.

Required Competencies

• Strong B2B service sales leadership experience, ideally in IT staffing, recruitment, or tech services.
• Proven ability to build repeatable outbound and multi-channel lead generation systems.
• Strong bias toward action, experimentation, iteration, and continuous improvement.
• Strong systems thinking, with the ability to design around funnels, buying signals, workflows, and operational constraints.
• Understands sales as an integrated operating system rather than a set of isolated activities.
• Able to design commercial processes that are scalable, measurable, and repeatable.
• Uses data to challenge assumptions, improve decisions, and constructively raise performance standards.
• Able to operate both strategically and hands-on in a growing company environment.
• Proven ability to hire, coach, and scale a sales team with clear ownership and accountability.
• High standards of performance without resorting to micromanagement.
• Able to challenge peers and the CEO constructively in pursuit of better commercial outcomes.
• Builds cross-functional trust through competence, clarity, and reliability.
• Comfortable with modern sales tooling, automations, and AI-enabled systems.
• May not personally execute every workflow, but is deeply literate in modern sales systems and demanding in outcomes.

Strong advantage

• Strong practical fluency in using LLMs such as ChatGPT, Claude, and Gemini to improve sales workflows, messaging, research, and process design.

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 an Autonomous Systems/Embedded Software Engineer to join a technology company specializing in navigation hardware for aerial vehicles.

The company fosters a fast-paced startup culture with direct communication, a flat hierarchy, and minimal bureaucracy. You will work with people who value the Growth Mindset, embrace challenges, aren’t afraid to learn from mistakes, and focus on finding solutions rather than pointing fingers.

The company actively integrates automation and AI technologies into all company processes to be 10x more efficient, reduce routines, and free up time for creative jobs.

Key responsibilities:

• Lead software R&D and integration of hardware components designed for UAV platforms.
• Move products from the early concept phase to manufacturing, delivery, support, and maintenance.
• Design and build system architecture — from application to infrastructure, prioritizing security and execution speed.
• Write clean, modular, and secure code, providing proper documentation when necessary.
• Drive reliable software delivery through automated testing and deployment pipelines.
• Developing software and hardware in the loop simulations for testing the algorithms before performing actual flights.
• Perform outdoor field tests.
• Work closely with hardware and machine learning teams to ensure real-time data processing.
• Enhance your capabilities with LLM assistants and other automations to multiply your efficiency.

Required skills:

• Continuous learning and a growth mindset.
• Self-agency in conducting research and solving problems.
• Track record of successfully developed products.
• Minimum of 3 years of commercial experience in software development. A combination of low-level programming (C, C++) and high-level programming (Python, Java, JavaScript).
• Fluency with Linux, Docker, and Bash.
• Experience in signal processing.

Preferred qualifications:

• Experience with embedded systems programming and RTOS.
• Programming experience for Ardupilot.
• Experience with MAVLink protocol.
• Data and communication encryption concepts.
• Experience with reliable development tools: static code analyzers, profilers, unit testing, continuous integration/deployment pipelines, version control systems..
• Experience with AWS tools (or other cloud service providers).
• Experience with UAVs, robotics, and RC piloting.

Key measures of success:

• Quality assurance of produced systems and the number of hardware issues in operation
• Accountable roadmap delivery
• Autonomy during task implementation
• Clear documentation

Note! When possible, add a portfolio with your application — include any shareable code examples, app interfaces, product photos, technical docs, system diagrams, or demo videos that show off your skills.