ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

AS A STAFF ENGINEER YOU WILL BE:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• Remote first
• 25 days of paid annual leave
• 3 paid days off for volunteering or L&D activities
• Private Health Insurance
• Mental Health Support Platform
• FitPass
• Family and friendly leave (according to statutory)
• Personal L&D budget
• Share Options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

AS A STAFF ENGINEER YOU WILL BE:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN

• The gross monthly salary for this position ranges from 7400€ to 11560€, depending on your skills, and experience.
• Private Health Insurance
• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Parental Leave days 
• Family-Friendly Leave 
• Personal L&D budget in the amount of 500 EUR per year
• Mental wellbeing platform Plumm
• WFH equipment allowance
• Sabbatical Leave
• Share options
• Team Events

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

AS A STAFF ENGINEER YOU WILL:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU'LL GET IN RETURN

• Flexible working options
• Group Life Insurance
• Vitality Health Insurance, with a proactive focus on mental and physical wellbeing
• 25 days holiday with the ability to buy extra days
• 3 days for L&D or volunteering time off per year
• We invest in your development with a £1,000 professional L&D budget per year
• Access to ‘salary sacrifice’ benefits such as Cycle to Work scheme and pension contribution
• Spacious brand-new office near Old Street with an all-day snacks bar
• Enhanced family-friendly leave
• Sabbatical leave

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll be:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

OUR TECH STACK:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

WHAT YOU’LL GET IN RETURN: 

Our location-specific employee benefits are designed to cater to the unique needs of Tideans: 

• 25 days paid annual leave
• 3 paid days off for volunteering or L&D activities
• Extended maternity and paternity leave covered by the company
• Personal L&D budget in the amount of 500 EUR per year
• Additional health & dental insurance
• Mental wellbeing platform
• Fully covered Multisports card
• Food vouchers
• Snacks, light food, drinks in the office
• WFH equipment allowance
• Flexible working from home
• Sabbatical Leave
• Share options

TIDEAN WAYS OF WORKING

At Tide, we champion a flexible workplace model that supports both in-person and remote work to cater to the specific needs of our different teams. 

While remote work is supported, we believe in the power of face-to-face interactions to foster team spirit and collaboration. Our offices are designed as hubs for innovation and team-building, where we encourage regular in-person gatherings to foster a strong sense of community.

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.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them

• Establish and run planning cycles (weekly, monthly, quarterly)
• Standardize how teams plan, prioritize, and track work
• Ensure consistent use of tools like Jira, dashboards, and reporting

• Define and run the end-to-end release process across all teams
• Ensure every release is scoped, ready, and aligned across Product, Engineering, Design, and GTM
• Drive release readiness reviews (quality, dependencies, documentation, enablement)
• Coordinate launch plans including internal enablement, documentation, and external communication
• Prevent “silent releases” by ensuring every release has clear intent, messaging, and success criteria

• Track release performance post-launch (usage, adoption, impact on KPIs)
• Identify gaps between shipped features and actual customer value
• Close the loop between Product, Support, and GTM on release feedback
• Drive improvements in release quality, reducing rework and customer-facing issues

• Create clear, real-time visibility into progress, releases, risks, and blockers
• Drive regular business and release reviews with leadership
• Hold teams accountable to commitments without becoming bureaucratic

• Identify inefficiencies across discovery, delivery, and release
• Simplify workflows, reduce noise, and remove friction
• Ensure teams focus on outcomes, not just output

• Align Product, Engineering, Design, and GTM on priorities and releases
• Ensure dependencies are visible and managed proactively
• Eliminate miscommunication and last-minute surprises around launches

• Bring data, metrics, and insights into product and release discussions
• Support prioritization with clear context, not frameworks for the sake of it
• Ensure teams understand trade-offs and make decisions quickly

What Good Looks Like in This Role

• Releases are predictable, well-coordinated, and high quality
• No last-minute chaos before launch
• Every release has clear goals, messaging, and measurable impact
• Teams know exactly what is shipping, when, and why
• Leadership has visibility into both execution and release outcomes
• Adoption and customer impact improve, not just output

What We’re Looking For

Experience

• 5+ years in Product Operations, Product Management, or similar roles
• Experience managing product releases in SaaS or platform companies
• Proven track record of improving product team effectiveness and release quality

• Strong operational thinking and structured problem solving
• Deep understanding of product development lifecycle, including release management
• Ability to connect strategy to execution and launch
• Excellent communication and stakeholder management
• Comfortable working with data, metrics, and dashboards

• You care about outcomes, not just shipping features
• You push for clarity, readiness, and quality before release
• You are comfortable challenging teams when something is not ready to ship
• You move fast and fix issues instead of letting broken releases go out

• Experience scaling product organizations
• Familiarity with tools like Jira/Youtrack, Product Discovery tools, Notion
• Experience working on platform or AI-driven products

Why This Role Matters

This is a force-multiplier role.
You won’t just support the product team, you will ensure that what gets built actually reaches customers in a way that drives adoption and impact. This role directly determines whether your product ships chaos or ships value.

If you want, I can push this one step further and define a release framework (what “ready to ship” actually means) so this role doesn’t become a coordinator but a gatekeeper of quality.

About the Role

What You’ll Do

• Translate company and product strategy into clear, actionable plans
• Ensure OKRs connect directly to roadmap and weekly execution
• Identify gaps between goals and actual delivery, and close them

• Establish and run planning cycles (weekly, monthly, quarterly)
• Standardize how teams plan, prioritize, and track work
• Ensure consistent use of tools like Jira, dashboards, and reporting

• Define and run the end-to-end release process across all teams
• Ensure every release is scoped, ready, and aligned across Product, Engineering, Design, and GTM
• Drive release readiness reviews (quality, dependencies, documentation, enablement)
• Coordinate launch plans including internal enablement, documentation, and external communication
• Prevent “silent releases” by ensuring every release has clear intent, messaging, and success criteria

• Track release performance post-launch (usage, adoption, impact on KPIs)
• Identify gaps between shipped features and actual customer value
• Close the loop between Product, Support, and GTM on release feedback
• Drive improvements in release quality, reducing rework and customer-facing issues

• Create clear, real-time visibility into progress, releases, risks, and blockers
• Drive regular business and release reviews with leadership
• Hold teams accountable to commitments without becoming bureaucratic

• Identify inefficiencies across discovery, delivery, and release
• Simplify workflows, reduce noise, and remove friction
• Ensure teams focus on outcomes, not just output

• Align Product, Engineering, Design, and GTM on priorities and releases
• Ensure dependencies are visible and managed proactively
• Eliminate miscommunication and last-minute surprises around launches

• Bring data, metrics, and insights into product and release discussions
• Support prioritization with clear context, not frameworks for the sake of it
• Ensure teams understand trade-offs and make decisions quickly

What Good Looks Like in This Role

• Releases are predictable, well-coordinated, and high quality
• No last-minute chaos before launch
• Every release has clear goals, messaging, and measurable impact
• Teams know exactly what is shipping, when, and why
• Leadership has visibility into both execution and release outcomes
• Adoption and customer impact improve, not just output

What We’re Looking For

Experience

• 5+ years in Product Operations, Product Management, or similar roles
• Experience managing product releases in SaaS or platform companies
• Proven track record of improving product team effectiveness and release quality

• Strong operational thinking and structured problem solving
• Deep understanding of product development lifecycle, including release management
• Ability to connect strategy to execution and launch
• Excellent communication and stakeholder management
• Comfortable working with data, metrics, and dashboards

• You care about outcomes, not just shipping features
• You push for clarity, readiness, and quality before release
• You are comfortable challenging teams when something is not ready to ship
• You move fast and fix issues instead of letting broken releases go out

• Experience scaling product organizations
• Familiarity with tools like Jira/Youtrack, Product Discovery tools, Notion
• Experience working on platform or AI-driven products

Why This Role Matters

This is a force-multiplier role.
You won’t just support the product team, you will ensure that what gets built actually reaches customers in a way that drives adoption and impact. This role directly determines whether your product ships chaos or ships value.

If you want, I can push this one step further and define a release framework (what “ready to ship” actually means) so this role doesn’t become a coordinator but a gatekeeper of quality.

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

Software engineers and AI agents alike suffer from the same problem: finding that one person or place that will answer their tough, specific question. Many solutions promise to solve this with similarity search in vector databases. Unfortunately, finding the answer is often a puzzle with pieces to be collected across a myriad of contradictory sources and cannot be solved without surgical search and careful reasoning. 

Spectrum collects data from an organization’s code, docs, and issues, and organizes knowledge in a unified ontology that AI agents can efficiently search through and reason over. We aim to revolutionize the semantic layer space for software-building organizations and move beyond specs that fall out of sync with code, introducing a living spec – one that’s extracted from the whole system and used to keep it aligned. Spectrum is meant to be the single source of truth for all product and architectural knowledge.

Spectrum is a resident of JetBrains' startup incubator, with startup speed and autonomy, and backed by 25 years of developer tooling expertise. We are looking for a top-class ML Engineer who will help us shape the future of software development. You will own our AI and ML engineering stack and help define the research agenda for our team. Your technical vision and design decisions will directly shape the product and determine its success.

Your responsibilities will include:

• Designing and building the ML/LLM solution for data ingestion, knowledge extraction, retrieval, and subsequent reasoning.
• Creating the datasets, metrics, and pipelines that drive measurable improvements across the system.
• Architecting and improving agents for context retrieval, knowledge extraction, and data alignment, which includes prompt engineering, model selection, and inference optimization.
• Establishing MLOps practices, including orchestration, observability, and experiment tracking.
• Collaborating with the engineering team on system design and with JetBrains Research on the research agenda.
• Defining hiring criteria, growing the ML team, and shaping the ML team culture.

We expect you to have:

• A proven track record as an ML/AI Lead.
• At least five years of experience in ML/AI systems, with at least two years focused on LLMs and generative AI.
• A deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches.
• Hands-on experience with:
• Prompt engineering and LLM pipeline design, including evaluation.
• Agentic frameworks such as LangChain, LlamaIndex, LangSmith, smolagents, or an equivalent.
• Vector databases and retrieval-augmented generation (RAG) patterns.
• Deploying and scaling LLM-powered applications using APIs (e.g. OpenAI or Anthropic) or open-source models.
• Strong Python skills – Kotlin knowledge would be a plus.
• Excellent communication skills, with the ability to explain complex technical concepts to diverse audiences.
• Proficiency in English, both written and verbal. 

Our ideal candidate would have:

• Experience with ontologies, knowledge graphs, or graph-based reasoning.
• Experience in early-stage startups – you enjoy the zero-to-one phase.
• The ability to think strategically about product-led AI, beyond just training models in isolation.
• A background in code analysis, developer tools, or software engineering research.
• Experience with multi-agent systems or complex agentic workflows.
• Actively contributed to relevant open-source projects or publications.

What we offer

• A competitive salary and JetBrains benefits.
• A generous runway and corporate resources with startup autonomy.

#LI-KP1

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania.  

Outcomes 

• Deliver value for our customers 
• Improve the stability and observability of our product
• Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries
• Review code and share knowledge with the team 

Requirements 

• Experience in .NET development and test coverage 
• Knowledge of OOP principles and design patterns  
• Experience with Database concurrency
• Upper-Intermediate English: both written and spoken
• A data-driven approach. Ability to justify decisions using concrete metrics
• Integrity and full commitment
• Growth mindset
• Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through
• Openness to constructive feedback and the opinions and ideas of others
  

Our technologies

• PL: .NET Core
• DB: MongoDB, PostgreSQL
• Hosting in the AWS 
• Elasticsearch cluster, indexes for several billion documents
• ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring

Why joining Smartcat might be your best move so far

• Fully remote team
  We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.
• Innovating the $50 Billion-old industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High impact role enabling innovation and inclusion in organizations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. 
• Smartcat Culture: Where Diversity Meets High Performance
  At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment.

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

The mission of a Customer Experience Specialist at Smartcat is to address our customer’s needs by offering assistance with empathy, passion, and clear communication, collaborating closely with the product team by reporting feedback and escalating issues (feature requests, bugs, etc.) as needed. By delivering excellent support to our amazing users, you’re expected to maintain a great customer satisfaction rate in this role.

Outcomes

• Keep the CSAT above 96%
• Ensure SLA goals are met (target > 95%)
• Keep the quarterly churn level below 3%

Your responsibilities will be

• Resolve customer requests in modern ticketing systems such as Zendesk and YouTrack
• Engage with customers via tickets during respective shifts
• Effectively take part in the rotational on-call roster to help our enterprise customers with critical issues during off-business hours. We offer on-call allowances as per the shifts.
• Brainstorm and troubleshoot complex issues
• Develop and maintain documentation for the user's help center and internal usage
• Escalate customer requests to other teams (product, infrastructure, DevOps, etc.)
• Engage and collaborate with engineers, analysts, testers, product managers, and other customer-facing teams such as the Accounts management team and Sales for a top-notch customer experience.

Requirements

• Must have or practice consistently the values of customer obsession, empathy, ownership, and openness.
• Excellent written and spoken English communication skills
• Basic knowledge of and experience with Python scripting, APIs, HTTP request methods, XML, JSON, different types of file structures, Xpath and Regex expressions
• Experience with localization and translation is a plus
• Possess exceptional troubleshooting and problem-solving skills
• Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
• Openness to constructive feedback and the opinions and ideas of others

Why joining Smartcat might be your best move so far

• Innovating the $50 Billion industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High-impact role enabling innovation and inclusion in organisations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Fully remote team of high-performers
  We are a global team of 170+ enthusiastic people. We have been fully remote since 2020, with some locations populated with more “Smartcatters” than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.  We strive to grow aggressively, but we also preserve our high performance, engagement, and open feedback culture. As diverse as we are, we love working and having fun together, and we’re sure you’ll love working with us too.
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone who will become a part of the team and play a critical role in the most exciting part of our journey from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing 150% YoY thanks to the strong product-market fit and the culture of high sense of urgency.
• Celebrating diversity
  We welcome everyone and create inclusive teams. We celebrate differences and encourage everyone to join us and be themselves at work. We are committed to diversity and inclusion & prohibit discrimination and harassment.   

Mission:

The Head of AI will play a key role in driving the success of Smartcat’s mission to become the end-to-end Language AI platform for global enterprises. In this role, you will shape Smartcat's AI strategy, unlocking the potential of AI to create new, innovative use cases or reinvent existing user experiences, delivering measurable value to our enterprise clients in multilingual content generation, translation, and analysis.

Outcomes:

• Create, enhance, and maintain Smartcat’s AI strategy, solidifying our market position as the leading Language AI platform for enterprises
• Lead with a vision on the future of AI, anticipating where the industry is heading and how to create strong tech IP and defensibility in the areas that are aligned with the company strategy
• There are three high-impact areas to focus on over the next 12 months:
• Language AI Quality: Smartcat delivers distinctly higher quality in AI-generated translations and content for enterprise customers, thanks to continuous feedback from their employees, which helps improve AI output. Your goal will be to introduce a holistic approach to measuring language quality across various use cases for translation and multilingual content generation. You will aim to achieve consistent improvement in these metrics quarter over quarter for our enterprise customers, significantly reducing the required editing effort on their end. (We are already making progress in this area and have achieved measurable results, but there is still enormous potential for innovation and breakthroughs.)
  You will also lead the development of a systematic technological approach to AI quality customization, using use case-specific AI agents integrated with our platform and data layers.
• Redesigning Product Experiences: Working with the UI/UX and other product teams, you will redesign every existing product experience and use case with an AI-first approach, focusing on improvements in quality, turnaround time, and creating innovative user experiences.
• AI-Driven Customer Lifecycle: Smartcat has strong inbound and PLG/PLS motions, with thousands of new verified logos signing up on the platform every quarter. You will lead the creation of an AI-driven customer lifecycle product within the Smartcat platform, leveraging real-time data on each user’s intent and in-product actions to deliver best-in-class, customized onboarding and support experiences. This product will also tailor the overall UX and guide users through their next steps within the platform.
• You will continue building and managing a team of top AI/ML engineers, fostering a culture of innovation, urgency, and customer-centricity.

Requirements:

• 10+ years of experience as an Engineering and Product leader with at least 2+ years leading AI/ML unit for a tech company
• A deep understanding of the current state of ML and AI, along with a natural passion and curiosity to stay ahead of the rapidly evolving AI landscape and drive innovation within it.Experience creating and driving a strategic AI roadmap with the ability to inspire and align a team
• Strategic mindset with a proactive approach to identifying opportunities and challenges
• Ability to effectively present and communicate at the executive and board level
• Readiness to work in a highly intense startup environment requiring extreme focus, a strong sense of ownership, and persistence to breakthrough
• Openness to constructive feedback and the opinions and ideas of others
• Strong preference to consider candidates who live on the East Coast, Boston or New York area, but will consider other areas for the right candidate. 
• Native-level fluency in English, both written and spoken

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

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

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

WHY YOU SHOULD JOIN OUR TEAM

We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here.

MISSION

As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company.

OUTCOMES

• Consistently deliver high-quality, production-grade features faster than traditional teams.
• Build and optimize AI-first workflows that integrate AI across all development stages.
• Raise the bar for speed, quality, and ownership in product delivery.
• Be a core contributor to the new engineering culture built on AI-First principles.

HOW YOU’LL RAMP

By Day 30:

• Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model.
• Start shipping real features using AI at every stage: coding, testing, documenting, releasing.
• Contribute to improving workflows for even faster delivery.

By Day 60:

• Independently own the full lifecycle of feature delivery through AI-first methods.
• Identify and drive improvements in velocity, automation, and team efficiency.
• Partner with Product and Tech Leads to aggressively accelerate time-to-market.

By Day 90:

• Deliver features faster and with higher quality than baseline teams.
• Actively mentor others on using AI as a multiplier across development.
• Become a key driver of the AI-First engineering standard inside the company.

WHAT YOU’VE ACCOMPLISHED:

• Proven track record of delivering production-grade products using AI-driven approach.
• Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release.
• Strong technical foundation in AWS, .NET, Python, and MongoDB.
• Obsessed with delivery: you ship, you improve, you own the outcome.
• Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution.

Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. 

Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. 

More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world.

Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. 

Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term.

Mission

Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania.  

Outcomes 

• Deliver value for our customers 
• Improve the stability and observability of our product
• Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries
• Review code and share knowledge with the team 

Requirements 

• Experience in .NET development and test coverage 
• Knowledge of OOP principles and design patterns  
• Experience with Database concurrency
• Upper-Intermediate English: both written and spoken
• A data-driven approach. Ability to justify decisions using concrete metrics
• Integrity and full commitment
• Growth mindset
• Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through
• Openness to constructive feedback and the opinions and ideas of others
  

Our technologies

• PL: .NET Core
• DB: MongoDB, PostgreSQL
• Hosting in the AWS 
• Elasticsearch cluster, indexes for several billion documents
• ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring

Why joining Smartcat might be your best move so far

• Fully remote team
  We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan.
• Innovating the $50 Billion-old industry
  Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost.
• High impact role enabling innovation and inclusion in organizations
  You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. 
• Join the rocketship to scale-up 10x and beyond together
  We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. 
• Smartcat Culture: Where Diversity Meets High Performance
  At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment.

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what? 

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point. 

Loka, a globally distributed tech consultancy based in Silicon Valley, is seeking a Senior Machine Learning Engineer to join our growing team. In this position you will serve as the primary specialist in designing and implementing machine learning solutions across multiple projects. Your expertise in ML algorithms and ML, DL and Foundation Models will empower us to develop robust, scalable systems and improve them over time. Ultimately we expect you to not just fit in with our ML crew but to elevate it to new heights. 

Our technical teams help clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. 

We count more than 100 certified specialists, technical experts and PhDs among our teammates—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with an in-house incubator called LokaLabs, observe local holidays and take every other Friday off (really). We’re as proud of our culture as we are of our projects. You will be too. 

The Role

• Take full responsibility for assigned tasks and projects, ensuring accountability for outcomes and results.
• Understand business objectives and develop models that help achieve them, along with metrics to track progress.
• Design and implement complex ML systems using classical machine learning, deep learning and foundation models, adhering to best practices.
• Lead client communications by gathering requirements, managing expectations and communicating deliverables effectively.
• Wrangle, explore and visualize data with a keen eye for issues requiring data cleaning, as well as differences in data distribution that may affect post-deployment performance.
• Analyze model errors and design strategies to overcome them.
• Deploy, maintain and upgrade ML models and pipelines.
• Follow Loka’s career track for growth by demonstrating technical excellence, innovation, autonomy, ownership, communication and teamwork.
• Drive architectural decisions and contribute to high-level planning and strategy. 
• Direct report to ML leads.
• Stay updated with industry trends to incorporate cutting-edge techniques and tools into projects.
• Write and maintain technical documentation.
• Provide guidance and mentorship to junior ML engineers within the team.
• Collaborate cross-functionally with other teams (Data Engineering, DevOps, Backend) to ensure seamless integration of ML solutions.
• Continuously optimize models for performance, scalability and cost-effectiveness, especially within the AWS environment.

Required Hard Skills 

• 4+ years of AI/ML engineering experience
• Bachelor’s degree in Computer Science or related
• Experience with Python, ML libraries and AI/ML frameworks (sklearn, PyTorch, HuggingFace, TensorFlow, Transformers, LangChain/LangGraph, Llamlndex, smolagents, strands-agents etc.) 
• Experience building GenAI solutions through prompt engineering, fine-tuning and developing agents with common patterns like Agentic RAG, NLQ etc.
• Client-facing experience
• Familiarity with containerization and orchestration tools 

Additional Requirements 

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV sent in English

Not Required but Nice to Have

• Experience with MLOps/LLMOps, preferably in AWS (e.g: Sagemaker/Bedrock), as well as standards tools (e.g. MLFlow, LangFuse) 
• Experience in consultancy environments or startups, including working directly with clients, managing projects and adapting to different settings. - Plus

Required Soft Skills 

• Curiosity: Strive to learn and grow into different industries with a modern tech stack. 
• Autonomy and positivity: We’re a fully remote, globally distributed team. 
• Teamwork: Enjoy a collaborative approach. 
• Adaptability: Operate with a startup mindset and move at a startup pace. 

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Your achievements matter to us! Ensure your CV and LinkedIn and GitHub profiles are up to date and accurately reflect your experience. 

Years from now, people will look back at this moment as the dawn of a new era, when generative AI began reshaping everything. At Loka, we’re not just watching this change—we’re building it.

Loka is a remote-first, globally distributed tech consultancy headquartered in Silicon Valley. Our teams help organizations from climate startups to cancer research innovators launch products that solve the world’s most urgent problems. Our culture is grounded in purpose, technical excellence and relentless curiosity.

We’re proud of our projects and even prouder of our people. Join us and you’ll be part of a collaborative, respectful, high-performing team that believes mission matters.

The Role

As a Senior Technical Project Manager you’ll lead software development initiatives from scope to delivery, driving impact through structured planning, proactive risk management and client collaboration. You’ll guide multidisciplinary teams across projects while contributing to division-wide initiatives that elevate our ways of working.

Responsibilities

Project Ownership

• Plan timelines, deliverables and work breakdowns for complex projects.
• Lead project status meetings and maintain transparent stakeholder communication.
• Proactively manage resources and timelines to ensure delivery excellence.
• Track performance metrics to identify improvement areas.
• Manage budget, schedule and work plan.

Risk & Blocker Management

• Identify and mitigate risks early.
• Resolve blockers that impact project timelines.

Execution & Methodology

• Select and implement project methodologies (Agile, Kanban, Waterfall, Hybrid).
• Lead project ceremonies and rituals based on methodology.

Stakeholder & Client Collaboration

• Lead 1:1 meetings with main client stakeholders.
• Manage client expectations and facilitate alignment across internal/external teams.
• Provide timely project updates covering risks, blockers, achievements and progress.

Tools & Delivery

• Manage project tools (e.g. JIRA) and maintain Notion project spaces.
• Set up and manage communication channels (Slack, Google Spaces).
• Review key deliverables and ensure quality.
• Coordinate closing tasks (e.g. AWS funding applications, feedback surveys).

Technical Influence

• Use technical knowledge to guide project strategies and decisions.
• Collaborate closely with engineering teams.

Continuous Improvement & Mentorship

• Conduct retrospectives and share learnings across teams.
• Provide direct peer feedback.
• Support the continuous improvement of PM processes across the division.

Requirements

Must-Haves

• 5+ years of experience in technical project management in software development
• Client-facing project experience in a consultancy or startup environment
• Strong grasp of Agile methodologies and project tools (e.g., JIRA, Notion)
• Comfortable working remotely in multicultural teams

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Nice-to-Haves

• Bachelor’s degree in Computer Science or related field
• Experience with cloud infrastructure (AWS, GCP)
• Familiarity with backend, data and DevOps workflows

Candidate Profile

• Curious: You enjoy exploring new industries and tech stacks.
• Autonomous: You thrive in distributed, remote environments.
• Collaborative: You value team input and cross-functional alignment.
• Adaptable: You work at startup speed and embrace change.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Apply Now

We’re excited to hear from you. Please submit your CV in English and make sure your LinkedIn reflects your impact.

Let’s build what matters together.

Years from now, people will look back at this moment as the dawn of a new era, when generative AI began reshaping everything. At Loka, we’re not just watching this change—we’re building it.

Loka is a remote-first, globally distributed tech consultancy headquartered in Silicon Valley. Our teams help organizations from climate startups to cancer research innovators launch products that solve the world’s most urgent problems. Our culture is grounded in purpose, technical excellence and relentless curiosity.

We’re proud of our projects and even prouder of our people. Join us and you’ll be part of a collaborative, respectful, high-performing team that believes mission matters.

The Role

As a Senior Technical Project Manager you’ll lead software development initiatives from scope to delivery, driving impact through structured planning, proactive risk management and client collaboration. You’ll guide multidisciplinary teams across projects while contributing to division-wide initiatives that elevate our ways of working.

Responsibilities

Project Ownership

• Plan timelines, deliverables and work breakdowns for complex projects.
• Lead project status meetings and maintain transparent stakeholder communication.
• Proactively manage resources and timelines to ensure delivery excellence.
• Track performance metrics to identify improvement areas.
• Manage budget, schedule and work plan.

Risk & Blocker Management

• Identify and mitigate risks early.
• Resolve blockers that impact project timelines.

Execution & Methodology

• Select and implement project methodologies (Agile, Kanban, Waterfall, Hybrid).
• Lead project ceremonies and rituals based on methodology.

Stakeholder & Client Collaboration

• Lead 1:1 meetings with main client stakeholders.
• Manage client expectations and facilitate alignment across internal/external teams.
• Provide timely project updates covering risks, blockers, achievements and progress.

Tools & Delivery

• Manage project tools (e.g. JIRA) and maintain Notion project spaces.
• Set up and manage communication channels (Slack, Google Spaces).
• Review key deliverables and ensure quality.
• Coordinate closing tasks (e.g. AWS funding applications, feedback surveys).

Technical Influence

• Use technical knowledge to guide project strategies and decisions.
• Collaborate closely with engineering teams.

Continuous Improvement & Mentorship

• Conduct retrospectives and share learnings across teams.
• Provide direct peer feedback.
• Support the continuous improvement of PM processes across the division.

Requirements

Must-Haves

• 5+ years of experience in technical project management in software development
• Client-facing project experience in a consultancy or startup environment
• Strong grasp of Agile methodologies and project tools (e.g., JIRA, Notion)
• Comfortable working remotely in multicultural teams

• Excellent English - Being a global team, we work entirely in English for meetings, customer calls and business communications
• CV written in English

Nice-to-Haves

• Bachelor’s degree in Computer Science or related field
• Experience with cloud infrastructure (AWS, GCP)
• Familiarity with backend, data and DevOps workflows

Candidate Profile

• Curious: You enjoy exploring new industries and tech stacks.
• Autonomous: You thrive in distributed, remote environments.
• Collaborative: You value team input and cross-functional alignment.
• Adaptable: You work at startup speed and embrace change.

Benefits

• Every other Friday off (26 extra days off a year)
• Remote-first culture
• Explore and Relocation programs (three months work abroad or full international relo)
• Paid sick days and local holidays
• Business English classes program
• Continuous Learning Support
• Fitness and/or Mental Health Subscriptions
• Access to LokaLabs™, our internal research and development program
• Defined career path

Apply Now

We’re excited to hear from you. Please submit your CV in English and make sure your LinkedIn reflects your impact.

Let’s build what matters together.