Location: Dallas, TX
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
- Willing to travel up to 20% of the time
Location: Dallas, TX
Compensation: $170,000-$270,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Los Angeles, CA; Salt Lake City, UT; Seattle, WA; Denver, CO
Workplace: Remote
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
- Willing to travel up to 20% of the time
Location: Remote
Compensation: $170,000-$270,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale.
We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry.
More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale.
ABOUT THE ROLE
We're looking for a Deployed Architect to join our Professional Services team. You'll work directly with enterprise customers to design, deploy, and optimize production-grade AI infrastructure and agent systems. You'll be responsible for architecting scalable, secure infrastructure deployments and building reliable, well-evaluated agent applications that solve real business problems.
This role combines software development, infrastructure/platform engineering, and customer-facing skills. You'll work on everything from Kubernetes cluster design to multi-agent system architecture, requiring deep technical expertise across both infrastructure and agent engineering domains.
This role offers direct impact on customer success, the opportunity to shape best practices, and work with cutting-edge AI technology. You'll join a collaborative team environment with a strong engineering culture.
KEY RESPONSIBILITIES
- Infrastructure & Platform Engineering: Design scalable, highly-available infrastructure for AI platform deployments (compute, storage, networking, security), enterprise integration patterns, Infrastructure as Code (Terraform, Helm), multi-region HA/DR strategies, and CI/CD pipelines
- Agent Engineering & Development: Design multi-agent systems using different patterns, implement agent logic using modern frameworks (langchain/langgraph), design comprehensive evaluation frameworks, optimize prompts with A/B testing, and guide deployment/operations
- Customer Engagement & Assessment: Lead technical maturity assessments, work directly with enterprise customers to understand requirements and present recommendations, and partner with Engagement Managers and Product/Engineering teams
WHAT WE'RE LOOKING FOR
REQUIRED EXPERIENCE
7+ years of experience in a technical, hands-on customer-facing roles such as Solutions Architect or Forward Deployed Engineer. We also like former founders, so if you have an unusual background, but all the right skillsets, you are welcome to apply
Infrastructure & Platform:
- 3+ years of experience designing and deploying production infrastructure on cloud platforms (GCP, AWS, or Azure)
- Strong Kubernetes experience (GKE, EKS, or AKS) including cluster design, autoscaling, and multi-zone deployments
- Experience with Infrastructure as Code (Terraform, Helm) and GitOps practices
- Knowledge of database systems (relational databases, in-memory data stores) including HA, replication, backup strategies, and sizing
- Experience designing high-availability and disaster recovery solutions
- Strong understanding of networking, security (SSO/RBAC, TLS, secrets management), and observability (Prometheus, Grafana, Datadog)
- Experience with CI/CD pipelines for infrastructure and applications
Agent Engineering & Development:
- 1+ years of experience building production AI/ML applications or agents
- Strong experience with LLM frameworks (LangChain, LangGraph, or similar) for building agent-based applications
- Experience with state management patterns (short-term and long-term memory)
- Experience designing and implementing evaluation frameworks for AI applications
- Strong prompt engineering skills with experience in optimization and A/B testing
- Experience with vector stores, RAG patterns, and knowledge organization
- Experience with tool integration, API design, and error handling patterns
- Strong Python and/or TypeScript development skills
Customer-Facing:
- Customer-facing experience with enterprise customers
- Experience conducting technical assessments or infrastructure audits
- Strong communication skills with ability to explain technical concepts to diverse audiences
KEY ATTRIBUTES
- Strong problem-solving skills with ability to analyze complex requirements and design elegant solutions
- Excellent customer-facing communication skills, able to explain technical concepts to diverse audiences
- Experience working cross-functionally with engineering teams, product teams, and customers
- Consultative approach with ability to understand customer needs, provide recommendations, and guide implementation
- Ability to balance infrastructure architecture with agent development work
- Strong engineering background with hands-on development experience
- Willing to travel up to 20% of the time
Location: San Francisco
Compensation: $170,000-$300,000 base salary + equity
Looking to lead technical strategy across the customer journey from Proofs of Value (PoVs) to driving overall adoption? Please check out the Deployed Engineer listing focused on Account Strategy & Solutions.
COMPENSATION PHILOSOPHY:
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks.
We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
BENEFITS
Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.
Location: Lugano, Switzerland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Dublin, Ireland
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Dubai, United Arab Emirates
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Tbilisi, Georgia
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Lisbon, Portugal
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Madrid, Spain
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Delhi, India
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: London, United Kingdom
Workplace: remote
Join Tether and Shape the Future of Digital Finance
At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction.
Innovate with Tether
Tether Finance:
Our innovative product suite features the world’s most trusted stablecoin,
USDT
, relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services.
But that’s just the beginning:
Tether Power:
Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities.
Tether Data:
Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like
KEET
, our flagship app that redefines secure and private data sharing.
Tether Education
: Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity.
Tether Evolution
: At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways.
Why Join Us?
Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry.
If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you.
Are you ready to be part of the future?
About the job
QV.AC
is a general purpose AI assistant that runs locally on your devices. It gives people real control over their data and how they use AI. No cloud dependency, no data harvesting, and no one else's servers between you and your assistant. Our focus is local, on-device, privacy-preserving AI, connected across Tether's peer-to-peer ecosystem. We're building the AI assistant people actually own. Product sets the direction.
We're looking for a Product Engineering Lead to turn that direction into features people love, built to a standard that holds up on real devices with real constraints. You lead the teams that build QV.AC's features and app experience on top of our local AI stack, each with its own lead. You report directly to the CTO and take direction from product. Product owns the what and the why. You own the how and the engineering bar.
The split is roughly 70% engineering leadership and 30% product. You're a combination of three things. You're an engineering leader who has helped teams ship consumer products at speed. You have real product sense and can partner with PMs as an equal, shaping what gets built, not just executing it. And you have an intuition for AI systems and their limits, so you can turn emerging capabilities into features that work reliably on-device, without needing to build the models yourself.
Responsibilities
Engineering
- Run the app and feature teams day to day: unblocking, reviewing, and keeping them shipping.- Set and hold a high engineering bar for performance, reliability, and clean APIs.- Own the technical design of features and the API surface between our AI core and the app.- Make sure your teams work closely with our AI research and deep tech teams on code reviews, design, and anything that touches models or inference.
Product Partnership
- Work alongside QV.AC's product managers to turn vision and roadmap into scoped, buildable work.- Push back when scope and reality don't match, and propose better paths when they exist.- Bring an engineering perspective to product decisions, especially on what local models can do well today and what they can't yet.- Help the team move fast, using AI tools and quick prototypes to validate ideas before committing to them.
Leadership
- Create clarity around team goals and make sure everyone knows what success looks like.- Mentor team leads to build strong team operating systems, improve how their teams work with others, and grow as leaders.- Lead by example: roll up your sleeves when the team needs it, and step back when they're ready to own it.
Mandatory:
Experience
managing engineers or engineering leads
who ship consumer product, ideally AI-powered apps.
Strong product sense
: you can tell a good feature from a busy one.
Intuition for applied AI and on-device constraints
: model size, latency, memory, battery, and the gap between a good demo and a reliable feature. You don't need ML research expertise, because our core abstracts it away.
You
use AI tools heavily in your own work
and enjoy experimenting with new models and capabilities.
Deep
JavaScript and React
.
Initiative, curiosity, resilience
, and the ability to
give and receive direct critique.
Preferred:
Bonus:
Experience with
local or on-device inference, LLM evals, cross-platform mobile and desktop apps, or open source
.
Important information for candidates
Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles:
Apply only through our official channels.
We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/
Verify the recruiter’s identity.
All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website.
Be cautious of unusual communication methods.
We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms.
Double-check email addresses.
All communication from us will come from emails ending in
@
tether.to
or @
tether.io
We will never request payment or financial details.
If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately.
When in doubt, feel free to reach out through our official website.
Location: Remote, US
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
MinIO is building the data layer for agentic AI — and min.io is where that story gets proven in the market. We're looking for a Digital Experience Manager to own the full digital experience on min.io: the builds, the UX, the conversion performance, the conversational marketing layer, and the technical infrastructure that makes buyers find us and convert.
This role takes end-to-end ownership of the main website to convert engineers, architects, and data platform leaders into pipeline. This is a hands-on role. You design, build, test, and optimize; owning the tool, the framework, and the output.
What You Will Do:
Core Website
User flow optimization and on-site UX: navigation, conversion paths, internal linking, and the overall experience from entry point to conversion action
Manage relationship with brand and development team to design and build core Webflow pages
Design system stewardship: maintain visual and component consistency across the site as brand direction evolves, in partnership with brand
Technical SEO and site health: monitor and optimize Core Web Vitals, crawl health, indexing, and page-level technical hygiene
GA4 and GTM tracking accuracy: own event setup, filter configuration, and troubleshooting of tracking gaps site-wide
Content ownership map: maintain the DRI/Approver structure across the site's 265+ pages and keep inventory current as sections evolve
Core site A/B and multivariate experimentation: define hypotheses, run tests, read results, and translate findings into a prioritized roadmap
Conversational Marketing
Own the overall playbook framework, tool governance, and evergreen plays for the site's conversational marketing layer
Own and maintain technical setup and site integration of the conversational marketing tool: content, routing rules, and visitor targeting logic
Own chat performance reporting: conversation rates, meetings influenced, pipeline attribution
Partner with the Growth Marketing team on campaign-specific play coordination
AI Answer Engine Optimization (AEO)
Own the technical execution layer of AEO: structured data implementation, schema markup, and content formatting to improve brand visibility in AI-generated search answers
Improve AI search presence monitoring and reporting with marketing leadership
Your Skills and Experience:
5–8+ years in a digital experience, web management, or CRO role, ideally at a B2B SaaS or infrastructure/dev-tools company where the buyer is technical
Hands-on CMS expertise: you build in the tool, not just brief others. Webflow experience preferred.
Working knowledge of GA4, GTM, and technical SEO and AEO: you can diagnose a tracking gap, fix a filter misconfiguration, and troubleshoot a Core Web Vitals issue without escalating it
Strong design sensibility and ability to work within an established brand system while advocating for UX improvements
Familiarity with conversational marketing tools and chat playbook logic: routing rules, visitor targeting, qualifying flows
Self-starter mentality with comfort operating with significant autonomy in a lean marketing org
What We Offer:
Health Care Plan (Medical, Dental & Vision)
401K with 3% Contribution
Pre-IPO Stock Options
At least 12 Public Holidays
Flexible Time Off
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
We are seeking a Senior Signal Processing Engineer to develop and deploy algorithms for physiological sensors including optical sensor and inertial measurement unit (IMU) data into accurate, reliable, and real-time insights on WHOOP devices. This hands-on role centers on digital and statistical signal processing, sensor fusion, and model-based state estimation, with a particular focus on accelerometer and gyroscope data.
You will own algorithm development from sensor characterization, mathematical modeling, and Python prototyping through efficient C/C++ implementation, firmware integration, and production validation. Working closely with Firmware, Hardware, Data Science, and Product, you will deliver robust on-device algorithms that perform reliably across diverse members and real-world conditions while meeting the constraints of wearable hardware.
RESPONSIBILITIES
- Design and develop real-time signal processing and sensor fusion algorithms that combine Sensor measurements inputs to characterize motion and deliver reliable member-facing insights.
- Develop and tune model-based estimators for orientation and motion, including sensor bias estimation, uncertainty propagation, and drift mitigation under changing movement and sensing conditions.
- Build robust IMU processing pipelines, including filtering, calibration, time synchronization, resampling, coordinate transformations, and compensation for sensor noise and systematic errors.
- Analyze large-scale, noisy wearable datasets to identify failure modes and improve robustness across motion patterns, device orientation, fit, and individual movement characteristics.
- Translate algorithm prototypes into production-ready C/C++ implementations, balancing accuracy with power, memory, compute, numerical stability, and latency.
- Partner with Firmware and Hardware teams on sensor configuration, sampling strategies, and on-device integration; investigate differences between prototype behavior and performance on target hardware.
- Define performance metrics and rigorous validation plans using reference measurements, controlled experiments, real-world data, and on-device testing to assess accuracy, robustness, and long-duration stability.
- Own technical decisions for complex algorithm components, contribute to design and code reviews, mentor teammates, and collaborate across functions to investigate post-deployment issues and drive continuous improvement.
QUALIFICATIONS
- 5+ years of experience developing and deploying signal processing, sensor fusion, or state-estimation algorithms for real-world sensor applications, including substantial hands-on work with IMU data.
- MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Applied Mathematics, or a related quantitative field, or equivalent practical experience.
- Strong foundation in digital and statistical signal processing, including filtering, spectral analysis, stochastic processes, and sensor noise characterization.
- Demonstrated experience with accelerometer and gyroscope processing, IMU calibration, sensor error modeling, bias estimation, and drift management.
- Strong experience with Kalman filtering, including extended or error-state formulations, and model-based sensor fusion; practical understanding of nonlinear estimation, uncertainty propagation, and estimator failure modes.
- Practical knowledge of 3D motion and orientation representations, including coordinate frames, rotation matrices, quaternions, and rigid-body kinematics.
- Proficiency in Python for algorithm development, data analysis, and experimentation, and C/C++ for efficient embedded implementation; demonstrated experience deploying algorithms to resource-constrained hardware.
- Ability to independently investigate complex algorithmic problems, design rigorous validation experiments, and communicate technical tradeoffs with firmware, hardware, and cross-functional partners.
- Experience with body-worn sensors, human-motion modeling, motion segmentation, or periodicity analysis is highly desirable.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don't meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: Boston, Massachusetts, United States
About Smartcat
Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises.
We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one.
Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale.
Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us.
Join us in unlocking global potential, one human and agent team at a time.
THE ROLE
You’ll build and deploy customer translation and localization workflows, lead technical discovery and demos, guide onboarding, and support renewals by demonstrating value and resolving technical blockers. This is a hands-on engineering role with substantial customer-facing responsibility. You’ll focus on enterprise workflows in learning and development (L&D), websites, and marketing.
WHAT YOU’LL DO
Scope customer needs into technical plans with clear dependencies, acceptance criteria, and measurable outcomes.
Build AI workflows using prompts, glossaries, translation memories, and human review to meet customer terminology, brand, and quality requirements.
Write and deploy integrations with CMS, DAM, PIM, LMS, and commerce systems, preserving content structure, metadata, and context.
Own production readiness: secure data access, testing, error handling, monitoring, quality evaluation, and review routing. Document the solution and agree ongoing ownership.
Support customer enablement and adoption with Account teams, measure results against the baseline, and identify valuable follow-on workflows.
Turn customer work into reusable connectors, evaluation suites, and deployment patterns, and inform Product and Engineering priorities.
EXAMPLE PROJECTS
L&D workflows: automate localization of courses, training materials, and learning content, from source files through review and delivery into the customer’s LMS.
Website workflows: connect the CMS to translation, review, and publishing so new and updated pages stay current across languages.
Marketing workflows: localize campaign assets, emails, and product content, applying brand voice and terminology with market-specific review and approval.
Across these workflows, build quality checks and human review routing that meet customer requirements.
WHAT YOU BRING
A record of shipping software, integrations, or automation for enterprise customers; demonstrated ability matters more than a specific degree or years of experience.
Hands-on coding skills across APIs, authentication, webhooks, data transformation, version control, testing, and debugging.
Experience building AI workflows and evaluating quality, reliability, latency, and cost, including failure handling and human review.
Clear communication with technical and business stakeholders, and the judgment to scope ambiguous requests, explain tradeoffs, and manage expectations.
Ownership through deployment, documentation, customer enablement, and adoption.
Practical use of AI in your own engineering work. Localization or translation technology experience is valuable; curiosity about the domain is essential.
Willingness to travel up to 40%
Why joining Smartcat might be your best move so far
A global, connected team
We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact.
Be part of an AI Native Organization
We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation.
Innovating a $100 Billion industry
Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost.
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 C 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 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here.
Smartcat Culture Code
: 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 engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.
Location: Pemberton Township,New Jersey 08015
🚨🦄
YOUR BANK ACCOUNT WANTS A WORD WITH YOU…
💸😂
It says:
“Maybe it's time to get a job that's actually FUN!”
👀
💜
NOW HIRING: Behavior Technician / ABA Para!
💜
📍
Pemberton Township, NJ 08015
💰
$20–$30 PER HOUR!
⏰
Part-Time | After-School & Weekends
🎉
WHO SAID WORK HAS TO BE BORING?!
Do you have the energy of 3 iced coffees? ☕☕☕
Can you make playing a game look like an Olympic sport? 🏆
Are you the type of person who gets WAY too excited when someone wins at Uno? 🃏😂
CONGRATULATIONS. YOU MIGHT BE OUR PERSON!
💜
We're looking for a fun, caring, and dependable human to work 1-on-1 with an amazing child, helping them learn, grow, and build important skills through fun activities and play!
Your daily agenda may include:
🎨 Getting creative
🎲 Playing games
🌟 Celebrating little victories like you just won the lottery
😂 Sharing laughs and making memories
🧠 Helping a child develop skills that make a REAL difference!
And yes…
YOU GET PAID!
💸
Because unfortunately, good vibes alone don't pay for Starbucks. ☕😭
━━━━━━━━━━━━━━━━━━
💜
WHY THIS JOB DESERVES A SPOT IN YOUR LIFE:
💜
💰
THE PAY IS PAYING!
— Earn $20–$30/hour. Your wallet called. It's interested. 📞💸
📚
STUDENT-FRIENDLY SCHEDULE
— Got classes? Another job? A social life you're trying to maintain? We get it! After-school and weekend hours help you balance it all. 🙌
🎉
GOODBYE, BORING DESK JOB!
— No staring at spreadsheets until your eyes cross. You'll be active, engaged, and making a difference!
🏆
MAIN CHARACTER ENERGY
— Watch a child learn new skills, gain confidence, and reach new milestones. Those little wins? THEY HIT DIFFERENT. 🥹💜
🤝
A TEAM THAT HAS YOUR BACK
— Training, guidance, and support to help you feel confident from day one!
━━━━━━━━━━━━━━━━━━
🦸
THE SUPERPOWERS WE'RE LOOKING FOR:
✅ Patience (because we're all human 😂)
✅ Reliability (ghosting is for Halloween 👻)
✅ A positive attitude and a big heart 💜
✅ Energy to play, teach, and engage 🔋
✅ A genuine desire to support children and help them thrive 🌈
No ABA experience? Don't count yourself out!
A willingness to learn, a caring attitude, and dependability go a long way. Training and guidance are provided!
━━━━━━━━━━━━━━━━━━
🚨
ATTENTION, FUTURE LEGEND!
🚨
If you're looking for a part-time job that pays well, works around your schedule, AND lets you make a meaningful impact…
WHAT ARE YOU WAITING FOR?!
😂
📩
SEND US A MESSAGE OR GIVE US A CALL TODAY!
💜 Come make a difference, collect some paychecks, and become part of something meaningful!
✨
WE WANT YOU! YES, YOU! STOP PRETENDING YOU DIDN'T SEE THIS POST!
👀😂💸
Location: United States
About SingleStore
SingleStore delivers a real-time, distributed SQL database that unifies transactional and analytical workloads. Our engineers build cloud-native software for some of the world’s most demanding data-intensive applications, working in a fast-moving environment where teams own their work end to end and partner closely across Product and customer-facing organizations.
About the Flow team
SingleStore Flow is an enterprise data migration and integration product that helps customers move data into SingleStore reliably and at scale. The team builds the systems that support schema transfer, bulk data loading, real-time Change Data Capture (CDC), large-table migrations, and a native experience in SingleStore Helios.
Flow spans Java-based engines, source and destination connectors, database internals, performance and memory management, Helios services and APIs, observability, test automation, Flow AI Agent and signed production release delivery. The product works across heterogeneous database environments, including MySQL, PostgreSQL, Oracle, SQL Server, MongoDB, SAP HANA, Snowflake, Salesforce, and SingleStore-as-a-source.
Position Overview
We are looking for a Staff Engineer to provide technical leadership for Flow’s end-to-end data path from source systems and CDC through migration engines, APIs, Helios, and the customer experience.
This is a hands-on individual contributor role with broad technical influence. You will own major architectural decisions, lead strategically important and release-defining initiatives, solve complex reliability and data-consistency problems, and help the team build durable systems that customers can trust with their most important migrations. You will remain close to the code while raising the technical bar for design, testing, observability, operational excellence, and AI-assisted engineering.
The ideal candidate is a systems-minded engineer who enjoys working across product boundaries, can move comfortably between architecture and implementation, and knows how to turn difficult customer problems into scalable product improvements.
What you’ll do
Set technical direction for significant areas of Flow, including the migration engines, CDC pipeline, schema evolution, large-table migration, source-to-target data correctness, Flow APIs, Helios integration, and agent-assisted migration workflows.
Lead the design and delivery of large, complex, release-defining projects from problem definition through production rollout.
Make pragmatic architecture and build-versus-defer decisions that balance customer value, reliability, performance, maintainability, and delivery speed.
Design and implement production-quality software while remaining hands-on in the codebase.
Solve difficult, ambiguous problems involving data consistency, replication, schema drift, throughput, memory use, concurrency, failure recovery, and backward compatibility.
Establish a high bar for technical design, code quality, testing, observability, security, and operational readiness.
Drive root-cause analysis for customer-impacting issues and ensure that incidents result in durable fixes, better tests, improved diagnostics, or clearer operational safeguards.
Improve the team’s ability to operate Flow in production through runbooks, dashboards, release discipline, incident response, and shared ownership of service health.
Partner closely with Product Management, Engineering, Support, Solutions, and customers to translate real-world migration requirements into robust technical solutions.
Mentor engineers, lead design and code reviews, distribute technical context, and help develop the next generation of technical leaders.
Create clear technical documentation that makes architecture, APIs, customer journeys, trade-offs, and operational procedures understandable to the broader engineering organization.
Advance AI-native development practices and agentic capabilities that improve engineering productivity and make customer migrations more self-serve.
Required skills and experience
Significant professional experience building and operating production software, typically 10+ years, or equivalent depth of experience and impact.
Expert-level experience with Java including the ability to debug and improve complex, long-lived enterprise-grade codebases.
Experience using JDBC with one or more databases, including working with SQL metadata, SQL datatypes, schema information, database-specific behavior, connection pooling, SQL execution, Apache Avro, Protocol Buffers, or similar serialization and integration technologies.
Strong understanding of databases and data-intensive systems, including transactions, replication, indexing, connection management, and data consistency.
Deep experience with MySQL and PostgreSQL
Experience with Java performance engineering, including concurrency, thread pools, garbage collection, memory pressure, or back-pressure
Hands-on experience with Change Data Capture or comparable streaming and replication technologies, such as database logs, logical replication, change tracking, checkpoints, or offsets.
Demonstrated experience designing reliable, scalable distributed systems where correctness, performance, and availability matter.
Experience with cloud-native services and container orchestration, preferably Kubernetes.
Track record of leading large technical initiatives and making architecture decisions across team or functional-area boundaries.
Strong testing discipline, including unit, integration, end-to-end, regression, performance, and failure-mode testing.
Experience investigating production issues, writing root-cause analyses, and converting operational learnings into engineering improvements.
Experience with observability, profiling, metrics, distributed tracing, and production dashboards.
Excellent written and verbal communication, with the ability to explain complex technical decisions to engineers, product partners, and customer-facing teams.
Demonstrated ability to mentor engineers and influence outcomes without relying on formal authority.
Bachelor’s or Master’s (preferred) degree in Computer Science or a related field, or equivalent practical experience.
Preferred qualifications
Additional experience with one or more of Oracle, SQL Server, MongoDB, SAP HANA, Snowflake, Salesforce, or SingleStore.
Experience with schema evolution, schema-drift detection, datatype mapping, large-table migration, table slicing, throughput tuning, or zero-downtime data movement.
Experience building APIs or full-stack product surfaces using Go, TypeScript, React, GraphQL, gRPC, or Kubernetes-native services.
Experience building agentic applications, AI-assisted developer workflows, or systems that use LLMs to plan, diagnose, or automate operational tasks.
Experience working directly with enterprise customers or customer-facing engineering teams on complex data or infrastructure problems.
SingleStore delivers our cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv.
Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
Our benefits package for this role includes: stock options, flexible paid time off, monthly three-day weekends, 14 weeks of fully-paid gender-neutral parental leave, fertility and adoption assistance, mental health counseling, 401(k) retirement plan, and rich health insurance offerings—including medical, dental, vision and life and disability insurance.
SingleStore’s base salary range for this position is: $160,000 - $210,000 USD.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice
.
ENG000526
Location: Bengaluru, Karnataka
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.
Position Overview
Vectra is looking for senior, AI-forward engineers to help expand and modernize our network data plane. This team builds the high-performance systems that ingest, process, parse, enrich, and deliver network metadata used by our detection, investigation, and response platform.
This role sits at the center of Vectra's packet-processing architecture. You will work on the systems that receive network traffic, steer it through the right processing paths, extract meaningful protocol metadata, and deliver that data reliably through the platform at production scale. Protocol parsing is a major part of the mission, but the broader opportunity is to help shape a scalable data plane that can support more protocols, higher throughput, better validation, and faster delivery over time.
The work requires systems engineering depth, hands-on networking experience, and comfort operating close to Linux, packet capture, hardware constraints, and performance limits. We are looking for engineers who can operate independently, use modern AI-assisted development tools effectively, and help build a repeatable engine for delivering data-plane capabilities with strong validation, test coverage, performance discipline, and operational reliability.
Responsibilities
Design, implement, test, and maintain core network data-plane capabilities, including packet processing, protocol parsing, metadata extraction, and downstream delivery.
Improve scalable network data-path architecture on Linux, including packet ingestion, traffic steering, parser execution, metadata modeling, and downstream delivery.
Use AI-assisted development tools thoughtfully to accelerate investigation, implementation, test generation, and code review while maintaining engineering rigor.
Work across parsing, serialization, metadata modeling, validation, performance, and downstream platform integration.
Build feedback loops and test harnesses that validate data-plane behavior end-to-end, not just in isolated parser tests.
Diagnose correctness, performance, memory, concurrency, and reliability issues in complex packet-processing systems.
Collaborate with Product, Security Research, Data Science, and engineering teams to turn customer and platform needs into concrete technical outcomes.
Contribute to technical direction, design reviews, and engineering standards for network data-plane development.
Requirements
8+ years of professional software engineering experience .
5+ years of production C++ experience in systems, infrastructure, networking, or similarly performance-sensitive environments.
Meaningful Rust experience or demonstrated ability to build production-quality systems in Rust or another memory-safe systems language.
Strong Python coding, debugging, automation, and code review experience.
Experience developing and debugging software on Debian-based Linux or similar Linux environments.
Hands-on protocol experience, including inspecting packet captures, using Wireshark or equivalent tools, and implementing or debugging parsing and serialization logic.
Experience with substantial data-path technologies such as DPDK, XDP/AF_XDP, kernel-bypass networking, high-performance packet capture, or equivalent systems.
Understanding of NIC queues, RSS, tunneling, offloads, routing, traffic steering, and the practical constraints of packet-processing hardware.
Systems programming depth across Linux networking internals, allocators and memory ownership, data structures, concurrency, CPU/cache behavior, and performance diagnosis.
Experience building reliable, maintainable systems where correctness, throughput, latency, and operational reliability all matter.
Ability to troubleshoot complex systems using measurement, logs, traces, packet captures, profiling, and careful reasoning.
Ownership mindset: able to take a problem, clarify ambiguity, make tradeoffs visible, and drive it to completion.
Strong communication and collaboration skills across distributed teams.
Preferred
Experience building protocol parsers, packet-processing systems, network telemetry systems, or high-throughput data pipelines.
Experience with parser validation, fuzzing, golden datasets, packet replay frameworks, or property-based testing.
Familiarity with DPDK, Linux networking internals, eBPF, XDP/AF_XDP, Suricata, Zeek, or similar systems.
Experience tuning systems across CPU, memory, NUMA, storage, and network boundaries.
Experience designing schemas or metadata models consumed by downstream analytics, search, detection, or investigation workflows.
Experience with CI/CD, Jenkins or similar systems, and Git-based development workflows.
What We’re Looking For
The strongest candidates will be hands-on builders who are energized by hard systems problems. They should be comfortable moving fast, but not casually; quality, testability, maintainability, and performance all matter. We are especially interested in engineers who already use AI tools as part of their development workflow and can explain how they use them responsibly to improve speed, coverage, and understanding.
Education
B.S., M.S., or Ph.D. in Computer Science, Engineering, or equivalent practical experience.
Vectra provides a comprehensive total rewards package
that
supports
the
financial,
physical, mental and overall health of
our employees
and their families.
Compensation includes competitive base pay, incentive pla
n eligibility, and participation in the employee equity plan (stock options).
Specific benefits
offered
var
ies
by location, but commonly in
clude
health care insurance
,
income protection
/ life insurance
,
access to retirement
savings
plans, behavioral &
emotional
wellness
services
, generous time away from work,
and
a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
Location: Bengaluru, Karnataka
Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises.
The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai.
Position Overview
Vectra is looking for senior, AI-forward engineers to help expand and modernize our network data plane. This team builds the high-performance systems that ingest, process, parse, enrich, and deliver network metadata used by our detection, investigation, and response platform.
This role sits at the center of Vectra's packet-processing architecture. You will work on the systems that receive network traffic, steer it through the right processing paths, extract meaningful protocol metadata, and deliver that data reliably through the platform at production scale. Protocol parsing is a major part of the mission, but the broader opportunity is to help shape a scalable data plane that can support more protocols, higher throughput, better validation, and faster delivery over time.
The work requires systems engineering depth, hands-on networking experience, and comfort operating close to Linux, packet capture, hardware constraints, and performance limits. We are looking for engineers who can operate independently, use modern AI-assisted development tools effectively, and help build a repeatable engine for delivering data-plane capabilities with strong validation, test coverage, performance discipline, and operational reliability.
Responsibilities
Design, implement, test, and maintain core network data-plane capabilities, including packet processing, protocol parsing, metadata extraction, and downstream delivery.
Improve scalable network data-path architecture on Linux, including packet ingestion, traffic steering, parser execution, metadata modeling, and downstream delivery.
Use AI-assisted development tools thoughtfully to accelerate investigation, implementation, test generation, and code review while maintaining engineering rigor.
Work across parsing, serialization, metadata modeling, validation, performance, and downstream platform integration.
Build feedback loops and test harnesses that validate data-plane behavior end-to-end, not just in isolated parser tests.
Diagnose correctness, performance, memory, concurrency, and reliability issues in complex packet-processing systems.
Collaborate with Product, Security Research, Data Science, and engineering teams to turn customer and platform needs into concrete technical outcomes.
Contribute to technical direction, design reviews, and engineering standards for network data-plane development.
For Staff-level candidates: lead data-plane designs, make major architectural tradeoffs clear, mentor engineers, establish repeatable engineering practices, and help grow durable technical ownership within the India team.
Requirements
10+ years or equivalent technical leadership.
5+ years of production C++ experience in systems, infrastructure, networking, or similarly performance-sensitive environments.
Meaningful Rust experience or demonstrated ability to build production-quality systems in Rust or another memory-safe systems language.
Strong Python coding, debugging, automation, and code review experience.
Experience developing and debugging software on Debian-based Linux or similar Linux environments.
Hands-on protocol experience, including inspecting packet captures, using Wireshark or equivalent tools, and implementing or debugging parsing and serialization logic.
Experience with substantial data-path technologies such as DPDK, XDP/AF_XDP, kernel-bypass networking, high-performance packet capture, or equivalent systems.
Understanding of NIC queues, RSS, tunneling, offloads, routing, traffic steering, and the practical constraints of packet-processing hardware.
Systems programming depth across Linux networking internals, allocators and memory ownership, data structures, concurrency, CPU/cache behavior, and performance diagnosis.
Experience building reliable, maintainable systems where correctness, throughput, latency, and operational reliability all matter.
Ability to troubleshoot complex systems using measurement, logs, traces, packet captures, profiling, and careful reasoning.
Ownership mindset: able to take a problem, clarify ambiguity, make tradeoffs visible, and drive it to completion.
Strong communication and collaboration skills across distributed teams.
Preferred
Experience building protocol parsers, packet-processing systems, network telemetry systems, or high-throughput data pipelines.
Experience with parser validation, fuzzing, golden datasets, packet replay frameworks, or property-based testing.
Familiarity with DPDK, Linux networking internals, eBPF, XDP/AF_XDP, Suricata, Zeek, or similar systems.
Experience tuning systems across CPU, memory, NUMA, storage, and network boundaries.
Experience designing schemas or metadata models consumed by downstream analytics, search, detection, or investigation workflows.
Experience with CI/CD, Jenkins or similar systems, and Git-based development workflows.
Prior Staff+ ownership of a critical production data path or distributed systems component.
What We’re Looking For
The strongest candidates will be hands-on builders who are energized by hard systems problems. They should be comfortable moving fast, but not casually; quality, testability, maintainability, and performance all matter. We are especially interested in engineers who already use AI tools as part of their development workflow and can explain how they use them responsibly to improve speed, coverage, and understanding.
For Staff-level candidates, we are looking for engineers who can shape technical direction and raise the execution level of the team around them. Staff engineers should be able to lead domain designs, write clear architectural proposals, guide major technical tradeoffs through Vectra's architecture process, raise engineering standards, mentor others, and help establish durable data-plane ownership in India.
Education
B.S., M.S., or Ph.D. in Computer Science, Engineering, or equivalent practical experience.
Vectra provides a comprehensive total rewards package
that
supports
the
financial,
physical, mental and overall health of
our employees
and their families.
Compensation includes competitive base pay, incentive pla
n eligibility, and participation in the employee equity plan (stock options).
Specific benefits
offered
var
ies
by location, but commonly in
clude
health care insurance
,
income protection
/ life insurance
,
access to retirement
savings
plans, behavioral &
emotional
wellness
services
, generous time away from work,
and
a comprehensive employee recognition program.
Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
УдалённоLos Angeles, CA; Salt Lake City, UT; Seattle, WA; Denver, CO
ОфисSan Francisco, CA
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