Location: San Francisco, CA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
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: New York, NY; Atlanta, GA; Nashville, TN; Boston, MA; Washington DC; Charlotte, NC
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
We’re hiring a results-driven account manager to own and accelerate the adoption, retention and growth of our customers. As a critical member of our post-sale team, you will be the primary commercial point of contact for a key segment of our customers. You will act as a trusted commercial advisor, focused on building lasting partnerships, ensuring customers realize the full value of LangChain, and driving usage, renewal and expansion of their investment. Your success will be directly measured by your impact on customer retention and net revenue retention.
KEY RESPONSIBILITIES
- Manage the entire customer lifecycle post signature for a portfolio of commercial customers, from adoption to contract execution, ensuring high retention rates.
- Develop and maintain a rolling forecast of your portfolio and consistently meet or exceed quarterly and annual renewal and net retention targets.
- Proactively identify and mitigate churn risk by understanding customer health, monitoring product usage, and addressing commercial obstacles.
- Uncover and execute on expansion opportunities by understanding customer needs, aligning them with new features and products, and articulating the incremental value.
- Build and nurture lasting relationships with key stakeholders, from technical users to economic buyers.
- Act as the voice of the customer, synthesizing feedback on value, product gaps, and business outcomes to inform the product roadmap and collaborate with Product and Engineering teams.
- Partner closely with Sales, GTM Engineering, and RevOps teams to present a unified post-sale experience and ensure a seamless customer journey.
- Lead commercial negotiations, structure renewal contracts, and manage quoting and procurement processes to ensure favorable terms for both the customer and LangChain.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in a quota-carrying, customer-facing role such as Account Management, Customer Success, or Renewals Manager, preferably within B2B SaaS.
- A proven track record of success in meeting and exceeding retention and expansion quotas (e.g., Gross Renewal Rate, Net Revenue Retention).
- Strong commercial acumen and negotiation skills, with experience managing complex, multi-stakeholder renewal cycles.
- Strong technical aptitude and the ability to understand and articulate the value of complex technical products. Familiarity with the modern AI/LLM stack is a significant plus.
- Exceptional communication and presentation skills, with the ability to build rapport and convey value to diverse audiences, from technical users to executive decision-makers.
- A deep empathy for the customer's business objectives and a passion for helping them achieve their goals through our platform.
- Proficiency with CRM software (e.g., Salesforce) for pipeline management and forecasting.
- Ability to operate independently with a high degree of autonomy in a fast-paced, ambiguous environment.
(PREFERRED)
- Direct experience at a high-growth, developer-first, or AI/ML infrastructure company.
- Experience managing renewals in a consumption or usage-based pricing model.
Location: US East. Preferably New York
Compensation:
- $230k OTE + equity
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: Mississauga, Ontario
Workplace: hybrid
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Contract Duration:
1 year
Position Summary:
Reporting to the Team Lead, Accounts Receivable, the Accounts Receivable Specialist is responsible for contacting overdue accounts within an assigned portfolio of strategic customers to collect outstanding balances in a timely manner. The successful candidate will have experience with building relationships with internal partners and account reconciliations. They will have strong communication skills and understand how to work effectively cross functionally with a broad group of stake holders.
To be successful, the candidate must have the ability to build relationships and be a proactive team player. A “Roll-Up-Your-Sleeves” and “Get it Done” attitude is a must. The candidate must have strong attention to detail and have previously demonstrated the ability to excel in a fast paced, high-volume, complex environment. Prior experience in finance is required, with preference given to candidates with accounts receivable experience.
Key Responsibilities:
Collection’s activities relating to mixed portfolio of customer accounts, including communication with clients regarding collections issues, actions, payment inquiries and invoicing.
Update and maintain accurate customer files with all applicable correspondence and report to Management on status as required.
Communication with clients within assigned portfolio regarding collections issues, actions, payment inquires, invoicing and account reconciliation.
Recognize billing issues through research and regular reconciliation.
Preparation of monthly account breakdowns and analysis, as required by the Manager and customers.
Compilation and provision of invoice copies, credits and unapplied payment details, as required.
Preparation and reconciliation of accounts, unapplied credit balances, credit notes as assigned.
Coordination of monthly pre-authorized payments with customers and the Payments team for assigned portfolio.
Participate in conference calls with customers and internal partners supporting recovery of past due invoices.
Any ad hoc tasks assigned by management as required to support the overall team objectives and success of the AR.
Required Experience:
Bachelor's degree in accounting or 3+ year's experience processing accounts receivable.
AI Fluency and/or use of M365 Copilot
Must possess a high level of moral judgment for handling confidential information and monetary transactions
Strong diplomatic, negotiation and conflict resolution skills in order to handle late payment discussions
Effective attention to detail and high degree of accuracy managing reconciliations
Able to effectively communicate both verbally and in writing
Must be a team player and have the ability to effectively work within a strong cross functional environment.
Sound analytical thinking, planning, prioritizing and execution skills
Excellent computer skills with a strong working knowledge in Microsoft Word and Excel
Working understanding with the US Health Care system - would be a benefit
#LI-TW1
#LI-Hybrid
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The Canada base hourly range for this position is $26.44 - $30.77 per hour ($55,000 - $64,000 annual), overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all Canada locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
Location: San Francisco, CA
Workplace: Hybrid
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
WHAT YOU’LL DO:
- Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
- Build relationships with prospects and customers, understanding their needs and how our products can help
- Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
- 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
- 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
- Strong track record of sourcing, qualifying, and closing outbound deals
- Execution mindset: you excel in fast-paced environments and move with urgency
- Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
- Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation:
- Annual salary range: $220,000 OTE
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: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About LangChain
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
About the role:
Location: Hiring in San Francisco, New York
We're looking for a Commercial Account Executive to join our growing GTM team and help drive adoption of LangChain's products. In this role, you'll support the sales process by helping technical teams at innovative companies discover, evaluate, and adopt LangChain's solutions.
This is a great opportunity to learn and grow in a high-impact environment where you'll work alongside experienced sales, engineering, and customer success professionals. If you're eager to build relationships, learn about cutting-edge GenAI technology, and contribute to our go-to-market efforts, we'd love to hear from you.
WHAT YOU’LL DO:
- Support the full sales cycle from initial outreach through close, with strong attention to follow-up and follow-through
- Build relationships with prospects and customers, understanding their needs and how our products can help
- Prospect strategically into SMB, mid-market, and small-enterprise accounts
How to be successful in this role:
- 3+ years of experience in sales, business development, or a customer-facing role (SaaS or tech preferred)
- 1+ year of experience in a closing role for SMB, commercial, and mid-market accounts
- Strong track record of sourcing, qualifying, and closing outbound deals
- Execution mindset: you excel in fast-paced environments and move with urgency
- Curious and solution-oriented: you’re always finding ways to level-up your understanding of technology, your customer’s business, and your craft.
- Self-starter and resourceful; you find ways to solve problems and move things forward
Compensation:
- Annual salary range: $220,000 OTE
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: Washington DC
Workplace: Remote
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
ABOUT THE TEAM
The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments.
This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform.
ABOUT THE ROLE
As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions.
You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape.
You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with federal engineering teams and system integrators
- Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations
- Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.)
- Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows
- Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions
- Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences
- Partner with security teams to navigate ATO processes and accreditation pathways
- Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies
- Occasionally contribute code upstream when it meaningfully improves federal customer outcomes
WHAT YOU’LL BRING
- Must have zctive or prior U.S. security clearance (Secret, TS/SCI)
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers
- Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators
- Strong Python and JavaScript fundamentals, with deep systems thinking
- Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling
- Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.)
- Comfort operating in regulated environments with security, compliance, and documentation requirements
- Experience supporting technical evaluations, architecture reviews, and competitive down-select processes
- Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership
- Ownership mindset — you take responsibility for mission outcomes, not just recommendations
- Bias toward action and comfort operating in ambiguity
- Excitement about running AI agents in real-world, production federal environments — not just building demos
NICE TO HAVE
- Experience deploying AI systems in classified or air-gapped environments
- Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6)
- Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings
- Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures
- Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.)
- Production experience with LangChain, LangGraph, or similar agent frameworks
COMPENSATION & BENEFITS
We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations.
Annual OTE range: $185,000–$300,000 USD
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: Boston, MA
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
- Occasionally contribute code upstream when it meaningfully improves customer outcomes
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000–$300,000 USD
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: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
ABOUT THE TEAM
The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on.
This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite.
Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.
ABOUT THE ROLE
The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world.
WHAT YOU’LL DO
- Co-architect and co-build production AI agents with customer engineering teams
- Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations
- Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows
- Advise customers post-sale on architecture, best practices, and roadmap-level decisions
- Run technical demos, trainings, and workshops for developer audiences
- Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers
WHAT YOU’LL BRING
- 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up
- Strong Python, JavaScript and systems fundamentals
- Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling
- Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations
- Can explain technical tradeoffs clearly and build trust with developer audiences
- Take responsibility for outcomes, not just recommendations
- Have a bias toward action and enjoy figuring things out as you go
- Are excited about operating AI agents in production, not just building demos
NICE TO HAVE’S:
- You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks
- Worked with LLM evaluation, observability, or guardrails
- Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts
- Have shipped and operated production software and are comfortable owning systems under real-world constraints
COMPENSATION
Annual OTE range: $185,000-$315,000 USD
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 make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What You'll Do:
- Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
- Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
- Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
- Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
- Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
- 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
- Clear, confident communicator who can engage both technical and business audiences
- Motivated by learning, iteration, and experimentation you treat outreach like a craft
- Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
- Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
- Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
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: New York, NY
Workplace: OnSite
ABOUT US
At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale.
With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world.
Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater.
About the Role:
We’re hiring Sales Development Representatives to join our founding SDR team and help shape the future of how companies adopt LangChain. As part of our SDR team, you’ll turn high inbound interest and targeted outbound demand into qualified opportunities and create an exceptional first-touch experiences for prospects.
You’ll work closely with our Marketing, Sales, and Operations alongside using LangChain and LangGraph-powered agents to automate list building, enrichment, and outreach freeing you to focus entirely on high-impact prospecting and conversations with teams exploring agentic AI.
What makes this role different: You’ll drive pipeline and revenue while learning to leverage AI, automation, and LangChain itself to become a next-generation GTM operator.
What You'll Do:
- Follow up with inbound and outbound prospects via phone, email, and LinkedIn to uncover fit, needs, and potential value.
- Partner closely with Account Executives to hand off qualified opportunities and ensure a smooth buyer experience.
- Capture and share insights from conversations to inform our sales plays, product roadmap, and agent development.
- Experiment with new channels, messaging, and automation to continuously increase conversion and efficiency.
- Use LangChain powered agents to test, learn, and improve prospecting strategies
How to be successful in this role:
- 1–2 years of experience in a Sales, SDR, or BDR role within SaaS or technology (or strong curiosity and drive if you’re early in your career)
- Clear, confident communicator who can engage both technical and business audiences
- Motivated by learning, iteration, and experimentation you treat outreach like a craft
- Comfortable with a mix of structure and ambiguity you can execute repeatable processes while improving them along the way
- Excited about modern sales tech, AI tools, and shaping how next-generation GTM teams operate
- Positive, persistent, and highly organized you follow up, follow through, and bring energy to every interaction
Compensation
- On target Earnings: $125,000
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.
ОфисNew York, NY; Atlanta, GA; Nashville, TN; Boston, MA; Washington DC; Charlotte, NC
УдалённоleadLugano, Switzerland
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Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Автоотклики