Highlights:

Location: Remote (CET hours preferred)

Compensation: $4,400 - $5,600 Gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

You will join a small team responsible for the stability, performance, and security of our server infrastructure: bare metal, VMs, databases, queues, networking, and infrastructure security. Our philosophy is simple: the team owns its systems end-to-end, and every engineer should be able to diagnose and fix issues in their area of responsibility.

This role is for someone who enjoys working with real infrastructure (OS, hardware/virtualization, networks), not just cloud abstractions.

What You'll Do

• Work primarily with on‑premise infrastructure (bare metal and VMs): setup, maintenance, troubleshooting
• Drive clarity in ambiguous situations by defining requirements, assumptions, and next steps
• Own automation projects end‑to‑end (design → rollout → maintenance)
• Improve how we operate: harden and tune systems and also improve the way the team works in terms of operational hygiene
• Keep the platform stable, fast, and secure: servers, web servers, databases, queues
• Investigate production incidents across OS / networking / infrastructure layers, apply temporary mitigations, coordinate with developers and participate in post‑mortems
• Participate in on‑call rotations
• Use AI in all aspects of day‑to‑day work: researching, troubleshooting, developing

Requirements

• 4+ years as a DevOps Engineer / SRE (or very close responsibilities)
• Real, hands-on experience with servers (VMs, bare metal) at the OS level and below: configuring, troubleshooting, digging into “why it’s broken”
• Confident Linux skills (we use Ubuntu). We expect you to be comfortable with the core tools from Linux Crisis Tools
• Solid understanding of networking basics; ability to configure and troubleshoot iptables
• Ansible + Git
• Experience with Bash or Python scripting for automation/observability
• Production/on‑call experience: diagnosing incidents, restoring service, participating in post‑mortems
• Ownership and attention to detail. Downtime is expensive: five years ago, 10 minutes of downtime cost us $100k — today it’s even more

Nice to Have

We understand it’s impossible to be an expert in everything, but it’s important to have solid hands-on experience in two or more of the areas below:

• ClickHouse, MongoDB: what each database is used for, monitoring, troubleshooting performance and slow queries, sharding
• Kafka: operating clusters at scale (topic moves, broker replacements, tuning)
• Redis: high‑load tuning, replication, sharding, performance monitoring
• Elasticsearch: configuration, scaling, sharding/cluster management
• HAProxy / Nginx: load balancing, SSL/TLS, caching, reverse proxying, performance monitoring
• OS tuning: kernel/network stack/filesystem parameters for high‑load systems
• Full Disk Encryption on LVM: We use Clevis + Tang in production
• Infrastructure Security: Teleport, HashiCorp Vault

Bonus points

Great if you’ve worked with any of the following:

• VictoriaMetrics and how it differs from the Prometheus stack
• Complex CI/CD pipelines. We use scripted Jenkins pipelines
• Bare‑metal Kubernetes: provisioning, networking (MetalLB or alternatives), isolation from the internet, scaling across providers (like OVH, Hetzner) and integration with existing infrastructure
• Flux and GitOps
• Terraform

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working.

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

Location: Remote (CET hours preferred)

Compensation: $3,600 - $4,600 Gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As a Senior QA Engineer (Quality Enablement), you will work in a cross-team role focused on improving product quality through processes, practices, and engineering influence across the entire organization.

QAE does not write product tests for teams on a regular basis. Instead, the role focuses on:

• Helping teams build effective testing strategies
• Reviewing test scenarios, automated tests, and technical decisions
• Analyzing quality metrics and driving improvements
• Educating teams on testing and automation best practices
• Preventing production incidents and reducing technical debt
• Contributing to test frameworks (helpers, utilities)

What You'll Do

• Help product teams define and improve testing strategies (unit / integration / E2E)
• Review test scenarios, automated tests, and quality-related technical decisions
• Analyze defects, flaky tests, and testing results
• Drive improvements based on quality metrics and recurring issues
• Support teams in building reliable and scalable test automation
• Contribute to test frameworks and shared tooling (helpers, utilities)
• Collaborate with engineers, product teams, and QA engineers
• Educate and mentor teams on testing practices and automation approaches
• Ensure test automation does not negatively impact CI performance

Requirements

• 7+ years of experience in testing web client-server applications
• 3+ years of experience in test automation
• Hands-on experience writing automated tests (E2E / integration)
• Experience with JavaScript / TypeScript
• Understanding of frontend architecture (React)
• Understanding of backend architecture (Node.js / NestJS)
• Experience developing or maintaining test frameworks
• Strong understanding of testing levels (unit / integration / E2E)
• Experience writing test scenarios or defining test strategy
• Experience reviewing automated tests (code review)
• Experience with CI/CD (Jenkins or similar)
• Docker (images, networks, volumes, docker-compose)
• Ability to influence quality through processes, not only code
• Strong communication skills
• Ownership mindset and willingness to take responsibility for quality decisions

Nice to Have

• Experience introducing testing or automation processes in teams
• Experience working with quality metrics (flaky rate, coverage, CI performance)
• Experience analyzing defects and improving processes
• Experience conducting trainings, workshops, or mentoring
• Experience working across multiple product teams
• Experience building or evolving E2E frameworks
• Experience reducing flaky tests and optimizing CI
• Experience in platform or enablement teams

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working.

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights

Location: Remote (CET hours preferred)

Compensation: $4,000 - $5,200 gross + stock options

Language: Russian-speaking team

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As a Backend Developer, you will be a key architect of the engine that powers our global platform. You'll resolve complex challenges in a high-load, distributed system, building and scaling the infrastructure that processes millions in donations. This is not a maintenance role; it's a high-impact, product-focused engineering position where clean architecture, performance, and reliability are paramount.

You will work on a complex product ecosystem—from our modern checkout experience to donor portals and massive analytics pipelines—all powered by a cutting-edge tech stack.

• Backend: Node.js (Koa, NestJS), TypeScript
• Database: MongoDB
• Infrastructure: Kafka for event streaming, Bull (Redis) for background jobs, ClickHouse for analytics, and Elasticsearch for search.

What You'll Do

• Design, build, and maintain clean, efficient, and scalable backend services in Node.js and TypeScript.
• Develop new product features from concept to deployment, collaborating closely with product managers and frontend engineers.
• Own key parts of our backend architecture, making critical decisions that enhance performance, reliability, and security.
• Write comprehensive unit tests and conduct thorough code reviews to maintain code quality.
• Proactively identify and implement system improvements, refactoring legacy code where necessary.
• Contribute to a culture of engineering excellence by mentoring others and sharing your expertise.

Requirements

• Experience: 5+ years of backend development experience, preferably in a product-driven environment.
• Node.js Expertise: Strong, hands-on experience with Node.js and modern frameworks like Koa or NestJS.
• TypeScript Pro: Deep expertise in TypeScript, including its advanced typing and module systems.
• Database Skills: Solid experience with MongoDB or other NoSQL databases.
• Distributed Systems: Familiarity with event-driven architecture using tools like Kafka, RabbitMQ, or Bull/Redis.
• Data & Search: Hands-on experience with ClickHouse (or similar analytics DBs) and Elasticsearch.
• Architectural Mindset: A strong understanding of system design, clean architecture principles, and performance optimization.
• Ownership: The ability to work independently, take ownership of your work, and see projects through to completion.
• Communication: Comfortable working within a Russian-speaking team.

Nice to Have

• Prior experience working in a remote-first, globally distributed team.
• Experience with performance monitoring and observability tools (e.g., Prometheus, Grafana, Datadog).
• A genuine interest in the non-profit technology sector.
• A hypothesis-driven mindset and the ability to communicate complex technical concepts to non-technical stakeholders.

Bonus points

• Curiosity and a hypothesis-driven mindset
• Ability to communicate complex analytical concepts to non-technical audiences
• Detail-oriented with a strong sense of ownership
• Comfort working in fast-paced, data-rich environments

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights

Location: Remote (CET hours preferred)

Compensation: $4,400 - $5,100 gross + stock options

Language: Russian-speaking team, English B1+ required

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

As a Senior Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines and ETL/ELT processes.

At the initial stage, you will be the first engineer in this direction, taking full ownership of the data domain. As the product and data needs grow, we plan to expand the team, and you will have the opportunity to contribute to its development.

This role requires a high level of autonomy and ownership, combined with close collaboration with analytics, Data Science, and engineering teams.

What You’ll Do

• Design and evolve the architecture of the data platform and storage systems.
• Build reliable ETL/ELT processes and develop scalable data pipelines for delivering data into a centralized analytical warehouse.
• Maintain and further develop the Data Warehouse.
• Collaborate with engineering and analytics teams on system design and architectural decisions.
• Ensure data governance and maintain high standards of data quality.
• Write and optimize queries for MongoDB and ClickHouse.
• Manage and maintain workflows in Airflow.

Requirements

• Experience: 7+ years of experience as a Data Engineer.
• Programming: 5+ years of experience with Python, TypeScript, Node.js, Kafka.
• Strong understanding of data processing algorithms and principles.
• Hands-on experience with ClickHouse, Airflow, Amazon S3, Git, Docker.
• Solid understanding of Data Lake and Data Warehouse architectures.
• Experience working with large-scale data and query optimization.
• Ability to work collaboratively toward shared goals.
• Strong sense of ownership, responsibility, and proactivity.
• English level: B1+.

Nice to Have

• Experience with Apache Parquet, MLflow, MongoDB. 

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights

Location: Remote (CET hours preferred)

Compensation: $5,500 - $6,500 gross + stock options

Language: Russian-speaking team; English B2+ required

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

We’re looking for an experienced Team Lead to join the Donor Experience Platform team. In this role, you will lead the development of a technical platform (internal API) that powers the company’s key products — various forms and interfaces for processing online donations.

We already have a strong team of developers as well as a product and technical roadmap in place, but we are missing a strong technical leader to lead the team.

What You'll Do

• Lead a team of 5-8 Fullstack developers.
• Write and review code (approximately 70/30 split in favor of management).
• Ensure the team follows company processes and engineering guidelines.
• Own the delivery of features and adherence to deadlines.
• Make technical decisions, prepare technical designs for new features, and align them with neighboring teams and your manager.
• Manage technical debt and maintain the technical backlog for your team.
• Mentor and develop engineers; conduct regular 1:1 meetings.
• Onboard new team members.
• Conduct performance reviews.

Requirements

• You are an experienced Engineering Team Lead with 10+ years of software development experience, including at least 2 years as a Team Lead or Engineering Manager managing a team of 5–10 developers.
• You’re a hands-on leader who can write code, make sound technical decisions, and design systems thoughtfully.
• You have strong people management skills — hiring, coaching, giving feedback, and resolving conflicts.
• You have at least 5 years of experience as a Fullstack Developer.
• You have at least 5 years of experience in product companies working with our stack: TypeScript, Node.js, MongoDB, Kafka, Redis.
• Experience working in fast-growing companies or startups will be a plus.
• Your English is at B2+ level: you don’t struggle to find words and can confidently discuss any technical topics.

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights

Location: Remote (CET hours preferred)

Compensation: $5,500 - $6,500 gross + stock options

Language: Russian-speaking team; English B2+ required

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals, including 80+ engineers. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus. Many of our developers bring 5 - 10+ years of experience, and we foster a culture of deep technical curiosity and knowledge sharing.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the Role

We are looking for an experienced Team Lead to join our Elements team. In this role, you will lead the development of embedded "elements" — a suite of widgets that non-profits integrate into their websites to drive donations or display impact statistics. Tech Stack: Node.js, React, TypeScript, MongoDB, Cloudflare Workers, and Kafka.

We already have a strong team of developers as well as a product and technical roadmap in place, but we are missing a strong technical leader to lead the team.

What You'll Do

• Lead a team of 3-5 Fullstack developers.
• Write and review code (approximately 70/30 split in favor of management).
• Ensure the team follows company processes and engineering guidelines.
• Own the delivery of features and adherence to deadlines.
• Make technical decisions, prepare technical designs for new features, and align them with neighboring teams and your manager.
• Manage technical debt and maintain the technical backlog for your team.
• Mentor and develop engineers; conduct regular 1:1 meetings.
• Onboard new team members.
• Conduct performance reviews.

Requirements

• You are an experienced Engineering Team Lead with 10+ years of software development experience, including at least 2 years as a Team Lead or Engineering Manager managing a team of 3–5 developers.
• You’re a hands-on leader who can write code, make sound technical decisions, and design systems thoughtfully.
• You have strong people management skills — hiring, coaching, giving feedback, and resolving conflicts.
• You have at least 3 years of experience as a Fullstack Developer.
• You have at least 5 years of experience in product companies working with our stack: TypeScript, Node.js, MongoDB, Kafka, Redis.
• Experience working in fast-growing companies or startups will be a plus.
• Your English is at B2+ level: you don’t struggle to find words and can confidently discuss any technical topics.

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

Highlights:

• Role: Director of Product
• Location: Remote (core hours 9:00–18:00 CET)
• Languages: Fluent English (C1) and Russian (Native)
• Travel: Regular travel to customers, conferences, and the U.S.
• Reports to: VP of Product

About Fundraise Up

We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.

Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.

A Truly Global Product

We operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.

We’re building a large and complex product ecosystem that serves nonprofits, donors, and partners around the world. The platform includes a modern checkout experience and customizable widgets (each a standalone SPA), donor, organization, and partner portals, admin tools, and several internal apps.

Our backend is powered by Node.js (Koa, NestJS) and MongoDB. The frontend stack includes Webpack, Vue.js, and React, with nearly all code written in TypeScript. For high-throughput messaging and background processing, we use Kafka (for millions of events) and Bull (Redis). Analytics data is stored in ClickHouse, and we use Elasticsearch for search.

The Team

We are a distributed team of 160+ product professionals. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus.

Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. Biweekly engineering forums give space to share learnings and celebrate technical achievements. You’ll be joining a team where quality, mentorship, and mutual respect come first.

About the role

As Director of Product, Core Markets, you will own the strategy and execution that positions Fundraise Up as the category leader in key nonprofit verticals. You’ll lead and grow a team of Product Managers, collaborate tightly with Sales, GTM, and Customer Success, and engage directly with senior nonprofit executives on complex, enterprise-scale deals. This is a hands-on, results-driven role — you will set bold vision, raise the bar on execution, and drive measurable revenue growth and market dominance.

What “Core Markets” means here

Core Markets represent the priority verticals where Fundraise Up has established strong traction and significant growth potential — including large Tier 1 & Tier 2 nonprofits across Cause & Cure, Faith-based, and adjacent segments. Your mandate: position Fundraise Up as the partner of choice and default platform within these key markets.

Key Responsibilities

Market & Customer Leadership

• Develop deep expertise in Core Markets — understand segments, buying behaviors, procurement and RFP patterns, compliance requirements, and the key barriers to adoption.
• Drive continuous discovery — conduct executive interviews, site visits, and industry events, translating insights into clear “must-haves” versus differentiators for each vertical.
• Own strategic enterprise deals — present the product vision, address objections, and collaborate with the Go-to-Market team to co-create scalable, enterprise-grade rollout plans.

Portfolio Strategy & Outcomes

• Define and own the Core Markets strategy and multi-quarter roadmap across verticals; articulate crisp bets with quantified business cases.
• Balance scale vs. customization: protect product integrity while unlocking enterprise wins (no “zoo” of one-offs).
• Set and deliver against OKRs that tie directly to revenue and adoption (ARR growth, win-rate, NRR, adoption of key capabilities).

Team Leadership

• Hire, mentor, and inspire 2–5 PMs (vertical leads). Build a culture of ownership, curiosity, and high accountability.
• Establish operating rituals (discovery cadence, metrics reviews, launch playbooks) that scale learning and delivery.
• Grow leaders: coach PMs to manage their own cross-functional pods and represent the product credibly with enterprise customers.

GTM & Cross-Functional Partnership

• Operate as a true partner to Sales, Solutions, CS, and Marketing: equip teams with product narratives, competitive angles, and clear boundaries.
• Lead cross-functional execution with Engineering, Design, and Analytics to ship impactful, reliable capabilities on time.
• Communicate trade-offs with executive clarity; make decisions, document rationale, and keep stakeholders aligned.

Skills and Qualifications

• 10+ years in Product Management, with 3+ years leading PMs (managing managers or multiple PMs across areas).
• Enterprise B2B experience (SaaS/fintech/payments/e-commerce or adjacent), including pre-sales/RFPs and complex stakeholder management.
• Proven discovery & execution track record: from insight → business case → delivery → measurable impact.
• Metrics fluency: ARR, NRR, win-rate, conversion, adoption, time-to-value; strong analytical and decision-making skills.
• Communication: C1/C2 English—clear, confident, and persuasive with executives and cross-functional teams.
• Travel-ready: comfortable with regular customer visits and conferences (including the U.S.).

Bonus points

• Experience in nonprofit, giving, or payments (compliance, risk, donor experience).
• History of building vertical toolkits/solutions that scale across enterprise accounts.

What Great Looks Like in 12 Months

• Significantly improved win rate in our core markets.
• 80%+ of release expectations achieved.
• Clear narrative and playbooks for the field: why we win, where we don’t, what to say “no” to—and why.
• Team operating system in place: quarterly strategy reviews, robust discovery pipeline, and predictable delivery.

Director-Level Behaviors We Expect

• Accountable & reliable: owns outcomes, not just plans.
• Empathetic & relentlessly curious: keeps digging until root causes and workable solutions are found.
• Executive presence: confidently challenges and influences senior nonprofit leaders; commands the room with clarity and respect.
• Sales-friendly, product-centric: partners with GTM while protecting long-term product leverage.
• Resourceful & persistent: never stuck—always finds the next path forward with urgency.

Why work with us

• A strong, collaborative product team that owns what it builds
• Clear product vision and access to real customer feedback from global nonprofit leaders
• Flat structure: no politics, just great work with great people
• Transparent company culture-we share how we’re growing, where revenue comes from, and what’s next
• Long-term focus: we offer equity options and value sustained, meaningful contribution

Benefits

• 31 days off
• 100% paid telemedicine plan
• Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace.
• English learning courses
• Relevant professional education
• Gym or swimming pool
• Co-working
• Remote working

_{**Please note: All official correspondence from Fundraise Up will exclusively originate from the @fundraiseup.com domain. Exercise caution and ensure the authenticity of emails claiming to be from our company.}

At JetBrains, code is our passion. Ever since we started, back in 2000, we have strived to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

One of the projects we’re working on within the JetBrains Innovation Hub is the AppGlass, a product for safe, AI-first debugging of production systems. It will help engineering teams investigate issues in real environments with a strong focus on safety, reliability, security, low overhead, and practical AI integration. That means it’s a mix of JVM tooling, program analysis, and AI at the core. Check out our demo and website to get a better sense of how it works.

About the role

We are looking for a Senior Software Engineer with strong enterprise JVM experience. This role is a good fit for someone proactive and excited by complex engineering challenges at the intersection of production systems, developer tools, and AI agents.

In this role, you will:

• Design, build, and lead the development of product features.
• Develop tooling and automation for AI-first engineering workflows.
• Work on enterprise integrations and deployment scenarios across Kubernetes and cloud environments.
• Improve reliability, testing, performance, and security for production use.

We’d like to have you on the team if you:

• Have extensive experience with Java, Kotlin, and JVM systems.
• Have worked on enterprise backend software, infrastructure, or developer tooling.
• Are comfortable with Kubernetes and cloud environments.
• Take ownership, communicate clearly, and move things forward without waiting for perfect specs.
• Enjoy using AI in development, while validating results with solid engineering discipline.

We’ll be especially thrilled if you:

• Have experience with debugging, instrumentation, or observability-related tools.
• Have experience with .NET or Python backend products.
• Care deeply about developer productivity and engineering quality.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-REMOTE 
#LI-KT1

About Lineate

Lineate is a US-based international software development company with over two decades of experience.

From Intelligent Document Processing(IDP) and Agentic RAG systems to scalable cloud architectures, we turn complex ideas into real, measurable results.

We deliver AI-driven custom solutions for FinTech, HealthTech, AdTech, and beyond, empowering businesses to grow smarter, faster, and more efficiently.

Our expertise falls into three main categories:

• Building Custom AI Solutions: Deploying high-impact, AI-enabled technology utilizing IDP, Agentic RAG.
• Cloud and Data Infrastructure: Optimizing business operations with our data management and cloud computing solutions.
• Team Augmentation: Providing specialized experts in FinTech, AdTech, and HealthTech to integrate seamlessly and accelerate project timelines.
• Our goal is not just to build technology, but to build the future operating model for our clients.

About the Role
You will join an established ML team working on search and relevance optimization. You will focus on building data pipelines and preparing data that powers ML models in production.
The role combines Java backend development and Python (primarily PySpark) for large-scale data processing.

Responsibilities:

• Design, develop, and maintain scalable backend services using Java and Python
• Build and optimize data pipelines for large-scale data processing (primarily with PySpark)
• Collaborate closely with ML engineers to prepare and transform data for ML models
• Work with large datasets to support search relevance and optimization systems
• Improve system performance, scalability, and reliability
• Contribute to architecture decisions and technical design
• Write clean, maintainable, and well-documented code

Requirements (Must-have):

• 6+ years of commercial software development experience
• Strong hands-on experience with both Java and Python (required)
• Solid experience with Spark / PySpark or similar data processing frameworks
• Proven experience building data pipelines and working with large datasets
• Strong understanding of backend development, system design, and distributed systems
• Experience with APIs and microservices
• Good knowledge of data structures, algorithms, and performance optimization
• Ability to work in hours close to the New York timezone (at least 6 hours overlap with NY team)

Nice-to-have (at least one of the following):

• Experience with search and relevance optimization, including:
  Elasticsearch / Solr (lexical search)
  Semantic search, vector search, or RAG-based systems
  Search relevance tuning
• Experience supporting ML workflows, such as:
  Data preparation or feature engineering
  Recommendation systems or user behavior prediction
• Experience with Databricks (preferred) or similar environments:
  AWS EMR, Hadoop, Spark ecosystem

We offer:

• Freedom to Develop - equal opportunity to learn and grow professionally
• Clear career and professional path, strong performance management system
• Social Benefits Package
• Equipment
• English lessons
• Gym membership
• All the advantages of working in an international IT company
• Flexible vacation time
• Fun and inclusive in-person and digital events

Lineate is proud to be an Equal Opportunity Employer - We do not hire on the basis of race, colour, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by Georgian legislation. All employment is decided based on qualifications, merit, and business need.

Learn more about Lineate at our website: www.lineate.com

Required:

• 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM).
• Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code.
• Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability.
• Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software.
• Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant).
• Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions.
• Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus.
• A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users.

Preferred / Bonus:

• Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks.
• Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load).
• Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions.
• Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications.
• Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications.
• Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management.

What we offer

• A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience.
• A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker.
• Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect).
• Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision.
• A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people.                  

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 
Refer them! 

Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Actively ship production code to the web products
• Work closely with your dedicated product team
• Participate in product discussions to shape the product roadmap
• Have the opportunity to work on new and exciting features that will impact millions of lives

An Ideal Candidate Should Have

• Experience. You've built and ship products that have scaled to thousands or millions of users
• Customer obsession. You are passionate about the field and have the desire to build high quality product that serves customer needs
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Tech Stack: Vanilla JS, ReactJS, Redux, Firebase, Typescript

What We Offer

• A fast-growing environment where you can help shape the culture
• An entrepreneurial crew that supports risk, intuition, and hustle
• A hands-off approach so you can focus and do your best work
• The opportunity to make an impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission

Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we’re doing for audio information. And whatever we’re doing seems to be working. We’re #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify’s product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You’ll Do

• Collaborate with Speechify’s Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK
• Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms
• Ship cloud functions, lightweight backend services, and jobs using Kotlin

An Ideal Candidate Should Have

• Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.
• Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs
• Preferred Tech Stack:
  • Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform) 
  • Prior experience with GCP is a plus

What We Offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Responsibilities

We are looking for an exceptional Senior Software Engineer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Solid knowledge of object-oriented programming and design

• Contributions to open source projects is a plus

Soft Skills / Personal Characteristics

• Excellent debugging, analytical, problem solving, and social skills

(REQ ID: 2380)

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

Mission

This is not a traditional Product Manager role. We are not looking for someone who writes requirements and waits for engineering. We are looking for someone who builds.

You will take a workflow from concept to working prototype before a sprint starts. You will design AI systems, not just describe them. You will validate with real users, not decks. And you will own the full arc from insight to production, including the parts that used to belong to other functions.

If that sounds like the job you have been trying to do inside a traditional Product Manager role, this is the upgrade.

What You Will Actually Do

• Prototype before planning. When a new product opportunity surfaces, your first output is a working prototype, not a spec. You use tools like Claude Code, agentic frameworks, and no-code APIs to build fast enough that engineering validation happens on something real, not something imagined.
• Design AI workflows end-to-end. You think in systems, not features. You map the full chain: input, reasoning, output, action. You decide where AI belongs in a workflow, where rules are more reliable, and how to structure context so the system behaves predictably at scale.
• Own the evaluation layer. Before anything ships, you define what good output looks like. You build evals, monitor for drift, and create the feedback loops that keep AI features working after the demo is over.
• Reason about cost and latency. You treat token usage, response time, and model selection as product decisions, not engineering concerns. You understand the unit economics of every feature you ship and can speak to feasibility and scalability without guessing.
• Validate with users, not stakeholders. You put working things in front of real users early and often. You design feedback loops that generate signal, not sentiment.
• Ship. Not someday. Fast.

What We Are Looking For

Must-haves:

• 4+ years in a product role, with at least 2 years working directly on AI-powered products
• Demonstrated ability to build working prototypes using AI development tools (Claude Code, Cursor, v0, or equivalent)
• Hands-on experience designing agentic workflows, including tool use, memory, and multi-step reasoning
• Clear understanding of RAG, prompt architecture, and when to use models versus rules
• Experience defining and running evals for AI features in production
• Track record of shipping products, not just planning them

Strong signal:

• You have built something on your own, outside of a job, using AI tools
• You can walk through the cost and latency tradeoffs of a feature you shipped
• You have worked in a paired product-engineering model where prototypes precede specs
• You have owned a feature from zero to production, including the parts no one assigned to you

Not required:

• Computer science degree
• Ability to write production-ready backend code
• Experience at a large company (small team instincts are a plus here)

What You Will Not Do

• Write long PRDs that sit in Notion waiting for an engineering sprint
• Coordinate meetings between functions that should be talking directly
• Manage backlogs in isolation from the users they are supposed to serve
• Treat AI as a feature category rather than a design medium

How We Work

We eliminated traditional PRDs. Product and engineering work in paired ownership, with prototypes expected within hours of a new idea. Reviews are outcome-based, not output-based. The expectation is that you can move fast enough that engineering is validating something real, not waiting for a handoff.

This is a high-trust, high-accountability model. You will have significant autonomy over what you build and how you build it. You will also be expected to show your work, early and often, in the form of working artifacts, not status updates.

How to Apply

Skip the cover letter. Instead, send us:

1. One example of a prototype or working artifact you built using AI tools. A link, a demo, a repo, anything real.
2. Two to three sentences on the workflow it automated or the problem it solved.
3. The cost or latency tradeoff you had to navigate to make it work in practice, even if it was just for a side project.

We will respond to every submission that includes all three.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its App of the Day.

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

With the growth of our iOS app, being the #18 productivity app in the App Store category and also our recent recognition as Apple's 2025 Design Award for inclusivity, we find the need for a Senior iOS Engineer to help us support the new user base as well as work on new and exciting projects to push our missing forward.   

This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, passionate about making product decisions, and has experience building great user experiences that delight users.

We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 

Our interview process involves several technical interviews and we aim to complete them within 1 week. 

What You’ll Do

• Opportunity to lead key engineering and product decisions
• Actively shipping production code for the Speechify iOS app
• Work within a dedicated product team
• Participate in product discussions to shape the product roadmap
• Maintain and enhance the existing complex app architecture

An Ideal Candidate Should Have

• Experience. You've worked on products that scaled to a large user base
• Track record. You have worked on various products from inception to decent traction. You have been responsible for engineering the product
• Customer obsession. We expect every team member whose responsibilities directly impact customers to be constantly obsessed about providing the best possible experience
• Product thinking. You make thoughtful decisions about the evolution of your product and support internal teams and designers into taking the right direction
• Speed. You work quickly to generate ideas and know how to decide which things can ship now and what things need time
• Focus. We’re a high-growth startup with a busy, remote team. You know how and when to engage or be heads down
• Technical skills. Swift, SwiftUI

Technical Requirements:

• Swift Programming Language
• SwiftUI experience
• Experience in Multithreading Programming
• Working with CI/CD infrastructure
• Experience with Fastlane
• SOLID principles, the ability to write every single class according to SOLID
• Experience with Git and understanding of different Git strategies

What We offer:

• A fast-growing environment where you can help shape the company and product
• An entrepreneurial crew that supports risk, intuition, and hustle
• The opportunity to make a big impact in a transformative industry
• A competitive salary, a collegiate atmosphere, and a commitment to building a great asynchronous culture
• Work on a product that millions of people use and where daily feedback includes users sharing that they cried when they first found the product because it was so impactful on their lives
• Support people with learning differences like Dyslexia, ADD, Low Vision, Concussions, Autism, and Second Language Learners, and give reading superpowers to professionals all over the world
• Work in one of the fastest growing sectors of tech: Intersection of Artificial Intelligence and Audio

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

At JetBrains, we build developer tools that help engineers stay focused on solving hard problems instead of fighting routine work.

Within JetBrains AI, we are collaborating with Zed on the Agent Client Protocol (ACP), an open protocol that lets AI coding agents work inside editors and IDEs. ACP is already supported in JetBrains AI Assistant, and the project is jointly governed by JetBrains and Zed. We see ACP as a long-term investment in interoperability, developer choice, and durable AI-powered workflows across the JetBrains ecosystem. (The JetBrains Blog).

ACP evolves in the open. Real-time coordination happens in Zulip, actionable work is tracked in GitHub Issues, longer-form discussion happens in GitHub Discussions, and substantial protocol changes move through the RFD process. We need someone who can help JetBrains shape that work from the product side: define the right developer scenarios, align internal and external stakeholders, and turn ecosystem needs into clear priorities for JetBrains and for the protocol. (Agent Client Protocol).

This is not a generalist product management role. It is also not a pure protocol engineering role. It sits between developer-experience product work and protocol evolution.

This role is often a strong fit for someone who has spent several years as a software engineer – ideally on APIs, SDKs, web/backend systems, libraries, frameworks, or platform integrations – and then moved into product management or a hybrid product or engineering role.

This will be an exciting opportunity if you:

• Want to shape an open interoperability layer for AI-native software development.
• Enjoy turning messy cross-team technical discussions into clear product direction.
• Like working with engineers, agent developers, and external partners to make complex systems usable and durable.

In this role, you will:

• Identify and prioritize the developer scenarios JetBrains should support through ACP in JetBrains IDEs.
• Study how those scenarios are already handled in CLIs and agents, and define coherent IDE-native flows that JetBrains should support.
• Work on examples such as plan mode, sub-agent workflows, or agent-to-agent communication, and turn them into clear scenario definitions and product requirements.
• Talk to JetBrains product and engineering teams, external agent developers, and partners to collect requirements, constraints, and compatibility concerns.
• Turn those inputs into crisp problem statements, GitHub Issues, success criteria, and roadmap priorities.
• Partner closely with protocol engineers and ACP maintainers to translate validated scenarios into protocol proposals, implementation requirements, and delivery plans.
• Represent JetBrains in regular protocol conversations with Zed and the broader ACP community, helping drive alignment on what belongs in the protocol, what should remain implementation-specific, and what should wait.
• Balance immediate JetBrains product needs against long-term protocol design concerns such as extensibility, backward compatibility, clarity, and ecosystem fit.
• Define and monitor the right telemetry and product metrics for ACP-related surfaces, including agent installation success, authentication success, protocol feature adoption, task completion, reliability, and developer satisfaction.
• Help JetBrains make long-term, product-quality decisions about supporting ACP across multiple IDE experiences.
• Communicate decisions, trade-offs, and priorities clearly to highly technical stakeholders inside and outside JetBrains.

We’ll be happy to have you on our team if you:

• Have 1-4 years of product management experience, or equivalent end-to-end ownership in a hybrid engineering/product role.
• Have a substantial software engineering background and hands-on production coding experience in real systems.
• Understand how modern web and integration primitives work in practice, including OAuth, WebSockets, HTTP, JSON-RPC, and service-to-service communication.
• Are comfortable reasoning about APIs, protocols, payload schemas, event-driven systems, authentication flows, local/remote execution, and backward compatibility.
• Can discuss technical details credibly with engineers and agent developers, even when the conversation goes deep into protocol behavior, edge cases, or extensibility.
• Can take raw technical feedback and turn it into clear user scenarios, requirements, issue tickets, and written decisions.
• Have strong product judgment and can distinguish between a JetBrains-specific UX choice and a protocol-level capability that should be standardized.
• Have a data-driven mindset and know how to combine telemetry, qualitative feedback, and ecosystem signals in product decisions.
• Have strong spoken and written English.

We’d be especially thrilled if you:

• Previously worked as a senior software engineer, staff engineer, library/framework maintainer, SDK owner, or platform/integration engineer before moving closer to product work.
• Have experience with developer tools, IDEs, AI coding agents, CLI workflows, or interoperability layers such as LSP, MCP, or ACP.
• Have contributed to open-source projects or standards-like processes.
• Are comfortable working in public GitHub workflows with Issues, Discussions, pull requests, and proposal documents.
• Have built or supported products where compatibility, extensibility, and future-proofing mattered.
• Use JetBrains IDEs regularly.

#LI-KL1 

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Mission

As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base.

Outcomes 

• Design, develop, and deploy backend services and APIs that solve real-world customer challenges
• Optimize application performance, scalability, and security
• Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services
• Troubleshoot and resolve production issues efficiently
• Actively participate in code reviews, knowledge sharing, and continuous learning

Requirements 

• 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C#
• 2+ years of experience in product companies (SaaS)

• Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code
• Experience with writing and maintaining Unit tests and E2E tests
• Advanced experience with MongoDB
• Upper-intermediate or higher English proficiency (written and spoken)
• Strong problem-solving skills and a growth mindset
• Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination
• Openness to constructive feedback and value the ideas and opinions of others

Our technologies

• Backend: .NET Core (C#), Python
• Frontend: Vue.js 2/3, Nuxt 3, Typescript
• Databases: MongoDB, PostgreSQL, Elasticsearch
• Messaging Queue: Kafka
• Cloud Provider: Amazon AWS
• Monitoring & Logging: ELK (EFK), Prometheus, Grafana

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

Mission

As a AI Translation Engineer, you will be at the forefront of advancing our platform’s translation capabilities. Leveraging your expertise in machine learning including applied research, fine tuning, benchmarking, and inference optimization, you will deliver high-performance solutions that power critical features for our growing client base.

Requirements

• Evaluation engineering: Translates product features into measurable user use cases; selects a small set of reliable offline metrics; builds benchmarks and runs slice analysis across languages and domains; designs rubrics and reference-less MT evaluation for ambiguous cases; defines online metrics and guardrails, runs A/B tests and staged rollouts, and validates that offline gains translate into production impact while spotting metric loopholes and regressions
  
  
• Data fluency: Owns end-to-end dataset pipelines: multi-source ingestion → cleaning/validation → scalable multilingual datasets, with versioning and auditability
  
  
• Classical NLP foundations: Understands MT/search text normalization and core matching approaches (exact/fuzzy, typo tolerance, multi-word + overlap handling, tries/Aho–Corasick/inverted index basics), and applies them to improve preprocessing and retrieval
  
  
• LLM operations: Operates external LLM providers end-to-end: designs prompts for structured generation/evaluation; builds automated filters/validators; generates synthetic data at scale using self-consistency and multi-provider “consilium”; selects and routes across providers based on quality–latency–cost; and uses self-hosted models when helpful for quality analysis/judging and provider fine-tuning data prep
  
  
• Practical production engineering: Can write lightweight services/jobs when needed and ship them with structured logs, monitoring/alerts, reliability basics (retries, idempotency, fallbacks), and scalability considerations; collaborates effectively with Dev/Platform

Key Responsibilities

• Develop and improve benchmarks for translation problems
• Work with NER, word alignment, automatic translation quality scoring system, and other problems
• Set up infrastructure for self-hosted solutions

Our technologies

• ML/Backend: Python, C#, PyTorch, Transformers
• DB: MongoDB, PostgreSQL, Elasticsearch
• Messaging: Apache Kafka
• Cloud: Amazon AWS
• Monitoring: ELK, Prometheus, Grafana

At JetBrains, code is our passion. Ever since we started, back in 2000, we’ve been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

Today, AI-powered assistance and agents are becoming a core part of how developers work in our IDEs. The ML Workflows Engineering team is dedicated to removing infrastructure challenges, streamlining machine learning operations (MLOps), and enabling teams to focus on the innovative work that matters most – building impactful ML models and intelligent agents. As part of the team, you'll play a key role in designing tools, automation, and pipelines that make machine learning development seamless and intuitive.

By integrating cutting-edge MLOps practices and engineering excellence, we aim to maximize productivity and remove the complexity of ML infrastructure so that our teams can push the boundaries of what’s possible in AI.

As part of our team, you will:

• Build tools, automation, and workflows to simplify infrastructure-heavy tasks, empowering AI teams to focus on experimentation and solving core challenges.
• Develop robust monitoring, logging, and tracing systems to ensure the performance and reproducibility of ML workflows in production.
• Design, implement, and maintain end-to-end machine learning pipelines to enable the seamless development, training, and deployment of ML models and intelligent agents.
• Work with large-scale distributed systems, including GPU clusters, to support training, fine-tuning, and evaluation of ML models.
• Collaborate with product and development teams to transform high-level goals into concrete, scalable, and maintainable systems.
• Optimize workflows for reproducibility, scalability, and cost-efficiency while keeping ML teams productive and focused on innovation.

We’ll be happy to have you on our team if you have:

• Hands-on experience with modern MLOps tooling, including Kubernetes, Cloud providers (GCP and AWS), and ML orchestration frameworks.
• A solid understanding of the ML lifecycle from idea to the customer-facing application.
• The ability to own projects end to end, starting from a high-level problem or product pain point and overseeing it through the design, experimentation, implementation, and iteration phases.
• A customer-centric mindset – you care about how ML engineers are actually working and can translate their needs into actionable, scalable, and maintainable architectural decisions.
• Experience with modern CI/CD systems, like GitHub Actions or JetBrains TeamCity.
• At least three years of Python experience writing clean, maintainable code in modern ML codebases.

Our ideal candidate would have experience with:

• ML orchestrators and workflow tools such as ZenML, Dagster, and Airflow.
• Developing infrastructure components and services using cluster solutions like Kubernetes.
• The development of Python-based backend services.
• Creating and maintaining ML pipelines, including legacy ones.
• Experiment tracking and observability using tools like Weights & Biases, MLflow, Langfuse, or similar.

We’d be especially thrilled if you have experience with: 

• LLM inference frameworks such as vLLM, DeepSpeed, and TensorRT.
• Writing and maintaining Python libraries used by internal (or external) ML engineers.
• A strong theoretical background in NLP and transformer-based approaches.
• Writing code in Java and/or Kotlin.

#LI-HYBRID
#LI-MR1

We are looking for a Full-Stack Developer (Node.js + React) to join our team and work on a long-term project for an international client. This is an outstaffing engagement, meaning you will be fully integrated into the client’s team and collaborate closely with their engineers, product managers, and stakeholders.

Project

You will join an existing product with an established codebase and an active development roadmap. The project focuses on building and maintaining scalable back-end services and complex front-end applications. You will work with modern JavaScript and TypeScript technologies while also maintaining and extending parts of a legacy system. The role requires a high level of autonomy, ownership, and the ability to work effectively in a distributed team.

Requirements

           Back-end (Node.js, with PHP/Laravel exposure)

• Deep, hands-on experience with Node.js in production environments
• Strong knowledge of TypeScript and modern JavaScript
• Experience designing and implementing RESTful APIs
• Understanding of backend architecture patterns (layered architecture, modular design, separation of concerns)
• Solid understanding of asynchronous programming, the event loop, and performance considerations in Node.js
• Experience working with SQL databases, including query optimization, transactions, and migrations
• Knowledge of authentication and authorization mechanisms (JWT, OAuth, role-based access)
• Experience with error handling, logging, and monitoring in back-end services
• Ability to write maintainable and testable code (unit and integration tests)
• Practical experience working with PHP and Laravel in production environments
• Ability to maintain and extend existing Laravel-based services
• Comfort working with and debugging legacy PHP/Laravel codebases
  
  Front-end (React.js)
  
  
• Strong experience building complex applications with React
• Confident use of modern React patterns (hooks, context, controlled components)
• Experience with state management solutions (Redux, React Query, or similar)
• Ability to design and implement scalable component architectures
• Strong understanding of front-end performance optimization (memoization, rendering control, code splitting)
• Experience working with forms, validation, and complex UI state
• Knowledge of accessibility (a11y) and cross-browser compatibility
• Experience integrating front-end applications with APIs and handling asynchronous data flows
• Ability to maintain consistent UI/UX in large codebases

Responsibilities

• Develop and maintain back-end services using Node.js and TypeScript
• Design, implement, and evolve RESTful APIs
• Maintain and extend existing PHP and Laravel services
• Build and maintain complex front-end applications using React
• Collaborate closely with the client’s team on feature development and technical decisions
• Ensure code quality through testing, code reviews, and best engineering practices
• Work with existing and legacy systems, improving stability and maintainability
• Take ownership of features end-to-end, from implementation to delivery
• Contribute to performance, reliability, and scalability improvements across the full stack