Jobs

About TimelinesAI
 

TimelinesAI is a SaaS platform that helps businesses centralize and automate their WhatsApp messaging and calling communication. We integrate seamlessly with multiple CRMs, workflow builders, and third-party platforms, enabling teams to build powerful automations, analytics, and AI-driven workflows without losing context or control.

We’re a growing product company with a global, remote-first team. We’re now looking for a talented Product / Delivery Manager to join us full-time, working remotely, and to help us elevate our Product-Led Growth (PLG) strategy and ramp up our product process by actively leveraging AI to derive insights from analytics, produce specifications and vibe-code dynamic prototypes.
 

What makes this opportunity stand out:

• You will work directly with the CTO, Head of Growth and peer PMs in a tightly-knit team.
• We prioritize open communication, continuous feedback, respect and humility. With us you’ll grow professionally, technically and as an individual.
• We keep our hiring process straightforward. You’ll talk directly with the people you’ll be working with (the management team) without recruiters or intermediary layers in between.

Product Definition & Management

• Participate in product roadmap planning with the Management Team.
• Define high-level product requirements and present them to the development team.
• Refine product specifications based on team feedback and feasibility considerations.
• Create mockups and wireframes to illustrate proposed functionality.
• Prepare and hand over final task definitions and designs to the development team, including Q&A sessions.
• Review and accept implemented functionality, provide feedback to developers, and hand over to QA.
   

Product Analytics & Feedback Ownership

• Plan analytic events for tracking feature adoption as part of sprint definitions.
• Monitor ongoing adoption metrics in PostHog and present insights to the Management Team on a regular basis.
• Process feature requests and user feedback from all channels (support chats, in-app forms, marketplaces, etc.).
• Conduct comparative research on competitors’ products and features.
   

Knowledge Base Maintenance & Support Enablement

• Create and update public Knowledge Base articles for new or updated functionality.
• Write public release notes for new releases and features.
• Prepare internal release notes and conduct product training sessions for Customer Support and Success teams.
• Assist the Customer Support and Marketing teams with advanced inquiries about functionality, use cases, or roadmap items.
   

Partners & Integrators

• Maintain direct communication with partners (e.g., CRM platforms building integrations with TimelinesAI) and integrators (agencies reselling or implementing TimelinesAI).
• Provide timely responses to technical and product-related inquiries.
• Participate in Sales or Customer Success demo sessions as a hands-on product expert.

Mandatory Experience

• Minimum 4 years of overall product management experience.
• Minimum 2 years of product management experience in a PLG SaaS environment (must be your most recent / current position).
• Proven experience working in fully remote teams with asynchronous written communication.
• High proficiency with PostHog, Amplitude, or similar analytics platforms.
• Hands-on experience with all stages of Product Management and Product Analytics as outlined above.
• Strong writing skills and a proactive approach to technical documentation.
   

Preferred Qualifications (Advantage)

• Previous experience in Software Development, QA, or Technical Customer Support.
• Hands-on experience setting up workflows in automation or workflow builder platforms such as Zapier, Make, n8n, or Customer.io.
• Experience managing product pricing and working with Stripe dashboards.
• Familiarity with Intercom Help Center and Fin management (or comparable live chat Support system with KB and some sort of built-in AI-based autoresponder)
• Regular, first-hand use of ChatGPT, Claude, or similar AI assistants in day-to-day product work, including prompt-driven specification writing, exploration, and prototyping; comfort with light scripting or vibe coding is considered a strong advantage.
• Power user of a major CRM platform, including UI customization, creation of custom objects and fields, and third-party integration setup.

This position requires availability during US business hours - 9am to 6pm Eastern Time

About

EdSpan is an innovative EdTech company dedicated to creating cutting-edge learning experiences that empower the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. Our current focus includes an AI-guided tutoring experiences, a peer-to-peer tutoring platform, and a custom learning management system.

We operate within a framework of clearly defined processes supported by automation for routine tasks, and open, productive collaboration across the team. Our workflows are based on Agile principles, with daily stand-ups, bi-weekly sprints, and other key Scrum practices. At the same time, we keep meetings to a minimum to ensure everyone can stay focused on delivering high-quality results and continuing to grow professionally.

Requirements

• 4+ years of experience as DevOps Engineer with production-grade systems;
• Strong understanding of networking fundamentals and proficiency in Python;
• Very good knowledge of Amazon Web Services (our primary cloud provider);
• HashiCorp Terraform & Vault knowledge;
• Experience with CircleCI or similar system;
• Solid skills in Linux administration;
• Team spirit and strong communication skills;

• Intermediate level of English (B1) or above;

   

Would be a plus

• Experience with Data pipelines, Machine Learning models and MLOps;
• Familiarity with other cloud providers (for example, GCP, DigitalOcean, Azure, Vultr);

• Understanding of monitoring principles and experience in using application & infrastructure monitoring tools;

   

What will you do

• Improve and automate infrastructure for the existing and new projects;
• Configure and fine-tune CI and CD pipelines;
• Assist in project infrastructure planning;
• Assist engineers with infrastructure - managing access, tracing issues, and other;
• Assist contractors with account setup and onboarding to internal systems and tools;

!!! This position requires availability during US business hours - 9am to 6pm Eastern Time

About

EdSpan is an innovative company in the EdTech space, building cutting-edge learning experiences for the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. We are currently working on three major projects:

AI tutoring experience — an innovative project that brings real-time interaction with a 3D animated assistant powered by LLM technology. This virtual tutor helps students navigate challenges, provides guidance, and enhances the learning journey in a playful and engaging way.

Tutorpeers – a peer-to-peer tutoring platform with a young teachers marketplace, event booking features and Zoom-like online sessions with additional interactive learning tools.

Spark Incubator – LMS-like system designed to teach kids entrepreneurship.

We have well-defined processes, trying to automate routine things, conduct code reviews, use CI and CD pipelines to validate and ship our code. We use the Agile approach with daily stand-ups, bi-weekly sprints, and other Scrum artifacts. We keep the number of meetings to a minimum so that engineers can focus on writing high-quality code and delivering cool features.

Who you are

We’re hiring our first AI/ML Engineer to lead the development of our AI agents, including prompting, the RAG and evaluation pipelines, potential fine-tuning. So, you’ll play a key role in shaping the technical direction. We’re seeking someone with a strong understanding of machine learning and NLP fundamentals, capable of tackling complex challenges in agentic workflows and optimizing model performance across the stack.

Requirements

• At least 4 years of experience in the field of Machine Learning, working as a Data Engineer, Data Scientist, Machine Learning Engineer, or in a similar role.
• Bachelor’s degree in Computer Science, Mathematics, or equivalent practical experience;
• Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn);
• In-depth knowledge of machine learning principles, understanding of LLM architectures, prompt optimization, and fine-tuning strategies;
• Skilled in designing and optimizing RAG pipelines, including embedding generation, sparse and dense retrieval, and hybrid search techniques;
• Familiar with LLM evaluation metrics and tools (BLEU, RAGAS, DeepEval, and other);

• Upper-Intermediate level of English (B2) or above.

   

Highly desireable

• Proven experience building AI-driven workflows using frameworks such as LangGraph, AutoGen, or similar orchestration tools;

• Knowledge of AWS cloud and MLOps.

   

Responsibilities

• Design, implement, and optimize LLM prompts to ensure reliable outputs;
• Assist in developing and maintaining AI evaluation workflows, including designing evaluation guidelines and metrics;
• Help design and develop AI data pipelines: collection, storage, annotation, and model improvement;
• Leverage agent orchestration tools to improve and automate AI workflows;
• Collaborate with the product team to ensure AI capabilities power usable product features.

About

EdSpan is an innovative EdTech company dedicated to creating cutting-edge learning experiences that empower the next generation of students. Our collaboration with a US-based private school network helps us better understand user needs while expanding our B2C and B2B products to a broader audience. Our current focus includes an AI-guided tutoring experiences, a peer-to-peer tutoring platform, and a custom learning management system.

We operate within a framework of clearly defined processes supported by automation for routine tasks, and open, productive collaboration across the team. Our workflows are based on Agile principles, with daily stand-ups, bi-weekly sprints, and other key Scrum practices. At the same time, we keep meetings to a minimum to ensure everyone can stay focused on delivering high-quality results and continuing to grow professionally.

Who you are

You’re a technically strong leader who enjoys combining hands-on expertise with thoughtful team leadership. You thrive in an environment built on clear processes, smart automation, and Agile principles, where focus and continuous improvement drive high-quality outcomes.

You’re not just delivering solutions yourself, you’re creating the structure, clarity, and support that enable Engineers to do their best work. You think beyond individual tasks, aligning technical execution with product strategy and long-term goals. You foster open, productive collaboration, keep workflows efficient and meetings purposeful, and help your team grow professionally while consistently raising the bar on engineering excellence.

Requirements

• BSc / MSc in Engineering, Computer Science or relevant field
• 5+ years of experience as an Individual Contributor (Software Developer, DevOps, ML Engineer, etc.)
• 2+ years of experience in managing technical teams
• Deep understanding of Agile practices and the SDLC
• Leadership
  • Exceptional leadership skills with the ability to mentor and develop engineering teams
  • Experience in hiring, onboarding, and training new team members
  • Experience in establishing and tracking OKRs for engineering teams
• Communication and Collaboration
  • Excellent communication and collaboration skills, business-oriented and results-focused approach
  • Proven experience in collaborating with senior executives, such as CTOs and CEOs, on technology strategy and implementation
• Technical skills
  • Experience building complex web-based products is a must: API-first, cloud platforms, automated testing, CI/CD pipelines
  • Familiarity with quality assurance processes and automation testing tools
  • Experience with DevOps practices and tools

• Must be fluent in English

   

Would be a plus

• Technical expertise aligned with our stack (PHP and Node.js, Angular, Flutter, AWS cloud) is a strong advantage

• Experience leading or contributing to AI-driven product development (e.g., AI agents, agentic workflows), or strong practical expertise in agentic systems design, prompt engineering, and model evaluation practices

   

What will you do

• People Management
  • Lead an all-remote engineering team, maintain a culture of excellence, collaboration, and mentorship;
  • Use technical expertise to guide the team in solving complex problems, occasionally conducting code reviews, and discussing solutions
  • Set goals for engineers through OKRs and track their progress toward these goals
  • Conduct one-on-ones and trainings, be responsible for career progressions
• Project Oversight
  • Enable engineers to deliver outstanding results and build products, with accountability over quality and delivery performance;
  • Monitor project progress, identify deviations, and take corrective actions to ensure timely delivery
  • Evaluate potential project risks and develop contingency plans to minimize disruptions
• Team Expansion
  • Identify opportunities for team growth and expansion, work with recruiters to hire and onboard new engineers or get provisional help from our partners
  • Enhance the technical interviewing process and candidate checks
• SDLC and Automation
  • Collaborate with engineers to optimize and streamline the SDLC process, CI/CD pipelines, and QA processes
  • Drive the adoption of software methodologies and automation practices to improve development efficiency
• Quality Improvement
  • Collaborate with across teams to improve the quality of specifications and technical requirements
  • Enhance the criteria for the definition of ready and the definition of done
  • Ensure that quality level of automated tests results in improved Lead Time and reduced amount of detects

 Responsibilities:

• Write clean, efficient, and well-documented code following established software development standards and best practices
• Develop software applications in line with client requirements
  Participate in the planning, design, and implementation of software projects
• Test and debug applications to ensure they meet defined quality standards
• Collaborate with project managers, designers, and developers to ensure timely and successful project delivery
• Attend relevant technical meetings and provide regular updates to
  stakeholders and team members
• Participate in code reviews and provide constructive feedback to other developers

• Operate and maintain applications within a DevOps model
  
  Requirements:
   

  JavaScript / ADsafe:

• Experience with ADsafe in the context of JavaScript – minimum 3 years
  Frontend (SASS):
• Experience with SASS – minimum 5 years
• Frontend (TypeScript):

• Experience with TypeScript – minimum 5 years

  Testing (Jest):

• Experience with JavaScript testing framework Jest – minimum 5 years
• Test Automation:

• Experience with unit and/or integration testing – minimum 5 years
   

  Industry Experience:

• Experience with information systems in the transportation/logistics
  domain – minimum 5 years

  React:

• Experience within the last 5 years

• Spring Framework:Experience within the last 5 years
   

  Tools (Jira / Confluence):

• Experience with project tracking tools such as Jira Software and Confluence– minimum 5 years
• Agile (Scrum):
• Experience working in agile environments (e.g., Scrum) – minimum 5 years
  RIS-ATIC:

• Experience within the last 5 years –

  Communication Skills:

• Experience in communication and moderation with stakeholders, interface partners, and project teams – minimum 5 years
   

BillionRent is a fast-growing luxury car rental marketplace in Europe. We are building a product that allows clients to book premium cars with:

• guaranteed availability
• fixed pricing
• exact car selection
• fast and seamless booking

The product is already live, with Italy as our core market — and now we are scaling.

We are looking for a Supply & Partnerships Lead (Italy) — a key role responsible for developing and scaling the supply side of the business.

You will own the partner network in Italy: build it, grow it, and make it commercially effective. Your work will directly impact revenue, availability, and the overall success of the product.

What you will do

Build & scale supply

• Develop and expand a network of premium and luxury car partners
• Activate existing partners and onboard new ones
• Identify key cities, categories, and growth opportunities

Drive partnerships & negotiations

• Lead negotiations with partners and define commercial terms
• Build strong, long-term relationships
• Ensure competitive pricing and high-quality supply

Partner success & operations

• Bring partners to full operational readiness
• Ensure accurate inventory, pricing, and availability
• Support partners through initial deals and early stages

Manage performance

• Monitor partner performance and engagement
• Identify gaps and improve coverage across cities
• Optimize supply structure based on demand

Lead and improve execution

• Manage a small B2B team (or build it over time)
• Set priorities, drive execution, and maintain transparency

What we are looking for

• Fluent Italian (must-have)
• English B2+ (for international communication)
• Experience in B2B, partnerships, sales, or business development
• Strong negotiation skills and commercial mindset
• Ability to take ownership and drive results
• Experience managing people or leading processes
• Hands-on approach — comfortable working in a fast-moving environment
•  

Nice to have

• Experience working with the Italian market
• Marketplace or aggregator experience
• Background in mobility, automotive, travel, or luxury segments
•  

What we offer

• Remote full-time role
• High-impact position with real ownership
• Direct collaboration with founders
• Fast decision-making and minimal bureaucracy
• Opportunity to build and scale a key business function

The Media Trader is responsible for performing all assigned activities related to trade desk planning and managing programmatic advertising campaigns for online advertising clients. Media Trader will execute and optimize display, video, and mobile programmatic or real-time bidding (RTB) campaigns.

RESPONSIBILITIES:

· Understand the programmatic media landscape trading for clients that include Display, Video, Native, CTV, DOOH and Mobile

· Understands Marketing attribution and cross channel measurements Develop strategies to achieve campaign goals.

· Execute programmatic campaigns from the RFP through client reporting in Multiple Demand Side Platforms. (The Trade Desk, OneView, DV 360, Amazon, etc).

· Ability to extract and deliver insightful findings for optimization purposes and client reports.

· Build and evolve relationships as a point of contact with media vendors and technology partners, day to day clients, and internal teams.

· Coordinate with exchange partners to optimize and troubleshoot as necessary.

· Work through ROI models to ensure ad systems get more profitable over time.

· Liaise with internal partners such as Account Management, Media and Ad Ops teams to implement and execute campaigns.

· Produce analytical, status and campaign performance reports.

· Collaborate with the trading desk team on RFP’s, strategy, and other duties as necessary.

QUALIFICATIONS & SKILLS:

· Demonstrated ability coordinating diverse groups of people to a successful outcome

· Effective time management in a fast-paced, deadline-driven environment

· High level of accuracy and attention to detail

· Able to handle multiple assignments and prioritize tasks based on shifting needs

· Excellent writing, editing and communication skills using a variety of media

· Excellent project management and organizational skills and ability to work independently

· Proficient in Microsoft Office Suite and Adobe Acrobat and able to quickly master internal systems and applications.

EDUCATION & EXPERIENCE:

· BA/BS degree required, with concentration in Marketing, Math or Statistics a plus

· 1+ years’ experience

· Knowledge of demand Side Platforms

· Proven self-starter with ability to work independently and collaboratively with minimal supervision.

· Ability to perform in a fast paced environment with dynamic job responsibilities and priorities.

· Strong analytical, written and interpersonal skills.

· Knowledge of MS Excel (Pivots and Macros a plus).

· Understanding of how the Web functions.

· Experience with web languages including HTML, JavaScript, and SQL a plus.

· Experience in digital agency advertising a plus.

Readiness to work from 15:00 till 23:00 in order to have an optimal overlap of work hours with USA based teams.

WE OFFER:

• Flexible working hours;

• Comfortable working place;

• Medical insurance after the trial period ending;

• Team-building activities;

• 24 paid vacation days per year;

• 5 paid sick leave days per year.

Are you passionate about transforming complex datasets into actionable insights that shape strategic decisions? This Senior Data Analyst role offers the chance to work on cutting-edge pricing optimization projects for global retail brands, leveraging advanced analytics to drive measurable business impact.

We at Sigma Software are looking for a Senior Data Analyst to join our Data Analytics and Pricing Optimization team. The role is senior-level, full-time, and based in Ukraine, Europe, with flexibility to collaborate with international teams.

Why join us? You’ll work alongside Data Scientists on innovative pricing experiments, contribute to projects that influence market positioning worldwide, and be part of a company that values innovation, global reach, and professional growth.
CUSTOMER
Our customer is a leading retail technology company specializing in pricing optimization software. They partner with global retailers to enhance profitability and competitiveness through data-driven strategies and advanced pricing models. Known for their innovative approach, they deliver solutions that combine business intelligence with cutting-edge algorithms to maximize value for clients.
PROJECT
The project involves implementing and optimizing a sophisticated pricing platform for large-scale retail operations. You’ll work on aligning platform capabilities with client needs, designing pricing experiments, and ensuring adoption through training and support.

Key Technologies: SQL, Python/R, Power BI, Tableau, Looker, Revionics, DemandTec

Job Description

• Analyze business and pricing processes to identify optimization opportunities
• Conduct discovery sessions to understand client needs and processes
• Recommend improvements based on best practices
• Align platform capabilities with client requirements
• Design and validate pricing experiments with Data Scientists
• Configure pricing platform for optimal client setup
• Deliver user training and ongoing support
• Monitor pricing performance and share insights
• Drive user adoption and recommend strategies to maximize platform value

Qualifications

• 5+ years in pricing analytics, data analysis, or related field
• Strong analytical and problem-solving skills
• Proficiency in Excel/Google Sheets and BI tools (Power BI, Tableau, Looker)
• Advanced SQL skills and proficiency in Python or R
• Understanding of data structures, modeling, and warehousing
• Experience in data cleaning and quality assurance
• Proven delivery of impactful analytics solutions
• Knowledge of market analysis, customer segmentation, and psychological pricing
• Excellent communication and stakeholder management skills
• Upper-Intermediate English or higher

WILL BE A PLUS

• Pricing strategy experience (cost-plus, value-based, competitive models)
• Dynamic pricing and price elasticity analysis
• AI/ML applications in pricing
• Familiarity with pricing intelligence tools
• Experience with retail pricing software
• Knowledge of pricing-related legal restrictions

Project Description:

We are seeking a skilled, hands-on Data Engineer with demonstrated experience in Databricks, Apache Spark, Python, and real-time data streaming solutions.

Responsibilities:

- Implement resource composition logic provided by the Product team into scalable and efficient PySpark code.

- Develop, optimize, and maintain PySpark applications within the Databricks environment.

- Utilize and maintain existing CI/CD pipelines in Databricks for automated build, testing, and deployment.

- Write and maintain unit tests to ensure high code quality and reliability.

- Perform data validation and quality checks to ensure compliance with defined business rules

- Support and manage production deployments, ensuring system stability and performance.

- Troubleshoot and resolve issues across development, testing, and production environments.

- Collaborate with Product, QA, DevOps, and healthcare domain teams to ensure accurate implementation.

- Maintain technical documentation for code, workflows, and deployment processes.

- Pull from and push code to GitHub repositories, following version control and branching best practices.

Mandatory Skills Description:

- 5+ years of experience in data engineering roles

- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

- 4+ years of experience with Databricks data pipelines

- Strong hands-on experience with PySpark and/or Apache Spark.

- Experience working with CI/CD pipelines and DevOps best practice.

 Proficiency with CI/CD, GitHub (pull requests, branching, code reviews).

- Experience writing unit tests and performing data validation

- Experience supporting production systems and deployments

- Strong analytical and troubleshooting skills.

Nice-to-Have Skills Description:

- Knowledge of FHIR (Fast Healthcare Interoperability Resources) standards.

- Experience with healthcare data integration projects.

- Familiarity with REST APIs and FHIR server integrations.

- Experience in Agile/Scrum development environments.

Our client is a global integrated Shipping Services company, recognized for its independent and innovative approach. As a niche carrier, they operate select trades where they provide superior service, ensuring stability, reliability, and flexibility for their customers worldwide. By maintaining strategic partnerships with major carriers and offering alternative line structures, they stand out in a market dominated by alliances.
We are seeking a Senior Java Full Stack Engineer to join our dynamic development team. This is a hands-on role involving the full development cycle—from design and architecture to development and deployment—with a focus on innovative applications. You will work in an XP environment, collaborating remotely with pairing practices to deliver high-quality solutions.

Responsibilities:

• Full stack development of innovative applications using Java, Spring, and React.
• Own the entire development lifecycle, including design, architecture, development, and DevOps.
• Work in an XP environment with remote pairing.
• Develop reactive UIs and modern front-end experiences.
• Implement and maintain microservices-based architectures.
• Contribute to TDD/BDD development using frameworks such as JUnit, Jasmine, Mockito, Protractor/Selenium.
• Deploy and manage cloud/hybrid solutions and containerized applications (Kubernetes, Cloud Foundry).
• Apply design principles like service discovery, circuit breakers, and scalable microservices.
• Switch effectively between different technologies and tasks in a fast-paced environment.

Requirements:

• BS degree in Computer Science or equivalent experience.
• 5–6+ years of full stack development experience.
• 5–6+ years of Java and Spring development; experience with Kotlin is an advantage.
• 2+ years of front-end development with React (or other modern JS frameworks).
• Experience with functional programming and Java Streams.
• 2+ years of experience in TDD/BDD using JUnit, Jasmine, Mockito, Protractor/Selenium.
• 2+ years of experience with microservices, Spring Boot/Cloud, and DevOps practices including Jenkins.
• Experience designing, developing, and deploying cloud/hybrid-based solutions.
• Experience with container-based environments (Kubernetes, Cloud Foundry).
• Familiarity with modern design patterns and architecture principles: microservices, service discovery, circuit breaker.
• Strong problem-solving skills, critical thinking, and ability to assess a broad range of information solutions.
• Excellent English communication skills (verbal and written).

Nice-to-Have:

• Experience in Kotlin development.
• Experience in developing reactive UIs (Reactive JS).

Hey everyone!

We are looking for Middle DevOps.

Exciting opportunities in the blockchain/web3 domain, no micromanagement, fully remote work, and a friendly atmosphere.

Boosty Labs is a leading software development company and venture studio specializing in Web3, Blockchain, Fintech, AI, and Cloud solutions, with a team of 150+ skilled experts. Since 2017, we have completed over 250 projects for industry leaders like Ledger, Consensys, Near, and many others, delivering custom solutions for businesses of any size.
 

Team: Lead DevOps + DevOps.

Requirements:

• Over 2 years of experience in DevOps
• Experience with monitoring and logging tools (Prometheus, Grafana, ELK Stack)
• Strong experience with AWS or DigitalOcean, including deployment and infrastructure management
• Proficiency in Docker and Kubernetes for containerization and orchestration
• Experience with GitHub Actions for CI/CD pipelines
• Solid Linux administration skills; scripting in Bash and/or Python
• Knowledge of PostgreSQL — setup, backups, performance tuning, and optimization
• Familiarity with Infrastructure as Code tools such as Terraform or CloudFormation
• Upper-intermediate-level of English

Nice-to-have:

• Experience with GCP/Azure
• Development experience in Rust, Go, or similar
• Understanding of blockchain technologies or experience deploying blockchain nodes

Responsibilities:

• Manage AWS/DigitalOcean infrastructure and Kubernetes clusters
• Build CI/CD pipelines in GitHub Actions
• Maintain PostgreSQL (setup, optimization, backups, replication)
• Setup monitoring (Prometheus, Grafana, logging)
• Write Terraform and automation scripts
• Incident response and post-mortems

 

What we offer:

• Remote working format
• Flexible working hours
• Informal and friendly atmosphere
• The ability to focus on your work: a lack of bureaucracy and micromanagement
• 20 paid vacation days
• 7 paid sick leaves
• Education reimbursement
• Free English classes
• Psychologist consultations

Recruitment process: Recruitment Interview — Final interview

Product Engineer

AI-Enabled Products · Full-Stack · End-to-End Ownership
 Fully Remote (Europe preferred)
 Independent Contractor · 50–70% initially (ramping to full-time within 6–12 months)
 Reports to Founder & CEO

You’re Not a Cog. You’re the Engine.

Most engineering roles give you a ticket queue. This one gives you a product.

At Informed Decisions, you’ll take real ownership over how a meaningful B2B SaaS platform gets built- from architectural decisions to AI integrations to what ships on Friday. You’ll work directly with the founder, with real influence over technical direction, and you’ll see the impact of your work in how organizations hire and how people’s careers unfold.

If you’ve been waiting for a role where your judgment actually matters, this is it.

What We’re Building

Hiring is broken in ways most companies don’t even measure. Informed Decisions addresses this by combining IO psychology with data-driven product design- including statistical models, analytics, and AI-enabled capabilities- to make interviews fairer, more consistent, and truly predictive of on-the-job success.

We help organizations improve interviewer skills, reduce bias, and connect hiring decisions to real post-hire outcomes. The product is live, the problem is real, and the work is technically interesting.

What You’ll Own

This is a full-stack product engineering role. You’ll work across the system with .NET and Python on the backend, APIs and integrations, AWS infrastructure, and AI-enabled workflows embedded into real product features.

Your first major responsibility is taking full ownership of a live, production product- from database and backend services through APIs and application layers- currently developed with an external vendor. This includes deeply understanding what’s been built, identifying what needs to evolve, and establishing the engineering practices and standards that will carry the platform forward.

This is an active system with real users, real data, and real consequences. We’re looking for someone who can navigate this transition with technical rigor, sound judgment, and a strong sense of ownership.

On the product side, you’ll design and ship features end to end. That means writing the code, making architectural calls, defining what “done” looks like, and owning production quality.

On the AI side, you’ll build workflows that integrate LLMs and AI services into the product in ways that are reliable, observable, and grounded in measurable hiring outcomes.

Beyond the core platform, you’ll make judgment calls about when a customer need belongs inside the platform and when a standalone tool or application is the right answer- and then you’ll build it.

Engagement Model

This role starts as an independent contractor engagement, scoped at approximately 50–70% capacity.

The intent is to increase scope and ownership over time, with a planned ramp toward full-time (100%) involvement within 6–12 months, based on mutual fit, impact, and company needs.

You’ll Thrive Here If…

• You’ve shipped production systems and can show your work through code, products, or a real portfolio
  
   
• You’re comfortable owning decisions when there’s no one to escalate to
  
   
• You’ve worked with .NET and Python in real production environments
  
   
• You’ve integrated AI or LLM services into live products, not just prototypes
  
   
• Remote-first work suits how you operate- you create structure rather than relying on it
  
   
• Your English is fluent (spoken, written, and reading), strong enough to communicate technical decisions clearly across time zones
  
   

Experience with early-stage SaaS, third-party integrations, and complex systems is a strong advantage. The tradeoffs are real, and the work reflects that.

Why This Role, Why Now

• Direct line to the founder, with real influence on product direction
  
   
• Work tied to measurable outcomes: fairer hiring and better decisions
  
   
• A remote environment built on trust, not surveillance
  
   
• High ownership from day one across a technically deep and socially meaningful problem
  
   

How We Evaluate

We don’t screen on credentials. We evaluate based on what you’ve built and how you think. Come ready to show your work.

Informed Decisions is fully remote and welcomes contractor applications from across Europe.

Sounds relevant? Apply here:

https://informedecisions.app/access/05ea079f-84e2-4027-98ae-ea6c4c2c0859/

Launch Labs is an IT company focused on web and application development. We help clients turn product ideas into working solutions and support them throughout the development process. Our team has worked with well-known brands such as Nike and Rapid Replay(acquired by NBC).

We're seeking a Sr. iOS Swift Engineer for a leading performance platform for athletes, that provides individualized training programs, biomechanics analysis, and cutting-edge performance insights.

What You’ll Do

• Develop and maintain high-quality iOS applications using Swift
• Collaborate closely with our mobile, product, design, and backend teams to deliver new features
• Build smooth, responsive, and intuitive user experiences
• Integrate APIs and work with video/content-heavy features

• Participate in code reviews and contribute to engineering best practices

   

What We’re Looking For

• 5+ years of experience in iOS development
• Strong proficiency in Swift , UIKit, and SwiftUI
• Experience with GraphQL and mobile architecture patterns )
• Solid understanding of app performance optimization and debugging
• Strong problem-solving skills and attention to detail
• Ability to work independently in a remote, fast-paced environment
   

Nice to Have

• Experience in sports, fitness, or performance-related products
• Knowledge of real-time data handling or analytics
• Experience working with media (video streaming, playback, or processing) is a strong plus

Benefits:

• 4 weeks of paid vacation per year 
• Flexible working hours 
• Medical insurance for your peace of mind
• Professional development support - Launch Labs covers courses, training, and skill growth
• An exciting, collaborative, and innovative team environment
• Fully remote work, with freedom and flexibility

We are looking for a Data Analyst to join a global product team working on a large-scale mobile marketing platform.
This role focuses on performance analysis, experimentation, and data-driven decision making in a high-load AdTech environment.

You will help identify where the system is losing value, design meaningful metrics, and provide insights that directly impact product and data science decisions.

Responsibilities

Analysis & Insights

• Analyze campaign performance and system behavior
• Identify inefficiencies in pricing, pacing, and traffic selection
• Break down complex performance data into clear, actionable insights

Experimentation

• Define and calculate key metrics (including intermediate metrics)
• Analyze A/B tests and interpret results
• Ensure fair experiment conditions (budget, traffic, etc.)

Data Exploration

• Investigate data quality issues and anomalies
• Build datasets to support modeling and experimentation
• Explore new signals, features, and opportunities

Collaboration

• Work closely with Data Science, ML Engineers, and Product teams
• Translate analytical findings into business recommendations

Current Focus Areas

• Pricing & Budget Scalability — scaling budgets while maintaining performance
• User Selection Optimization — improving conversion rates (CVR) through targeting
• Exploration Efficiency — reducing wasted budget during exploration
• Incrementality Measurement — measuring true lift vs attributed performance
• Fraud Detection & Filtering — improving traffic quality

Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Statistics, Economics, or similar
• ~2 years of experience in a data-related role
• Strong knowledge of statistics, A/B testing, and data analysis
• Experience working with large datasets and performance metrics
• Ability to explain complex data in a clear and structured way
• Strong problem-solving skills and proactive mindset

Nice to Have

• Experience in AdTech / marketing / auctions
• Understanding of incrementality and attribution models
• Internship or experience in high-scale data environments

What Success Looks Like

• You clearly identify where the system is underperforming
• Your analysis drives experiments and product decisions
• You build reliable metrics, dashboards, and insights that improve system performance

About the Role

This is a great opportunity for a Data Analyst who wants to work on real-time, high-scale systems, collaborate with Data Science teams, and directly influence product performance through data.

Job Description

5+ years of experience in applied machine learning or data science roles
Strong proficiency in Python
Experience developing, training, and optimizing models with a focus on timeseries data analysis
Solid understanding of data preprocessing, feature engineering, and model evaluation methods
Familiarity with MLOps workflows and collaboration with platform engineers for model deployment
Experience with any of the following: Amazon Sagemaker, MLFlow, Vertex AI
Strong problem-solving, communication, and collaboration skills
Strong understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with cloud platform (AWS) is a plus

Job Responsibilities

Design and develop machine learning models. ML Engineer will handle model selection, implementation, training, testing, and optimization, ensuring models meet requirements and achieve learning standards.
Model Lifecycle Management.
Onboard new ML models onto the existing platform with standardized training automation and interfaces.
• Collaborate with DevOps and data engineers to deliver end-to-end solutions:
• Manage and optimize big data and training data pipelines for cost and reliability.
• Oversee, maintain and enhance CI/CD operations for ML services"

Department/Project Description

We are seeking a highly skilled and motivated Sr. ML Engineer to join our team and contribute to the development for a leading telecommunications provider.

Skill Category

AI/ML

Keyskills - Must Have

• Machine Learning
• Python

Keyskills - Nice to Have

• Amazon SageMaker
• AWS