About the job:
QV.AC is a general purpose AI assistant that runs locally on your devices, giving people real control over their data and AI usage without cloud dependency or data harvesting. The focus is on local, on-device, privacy-preserving AI connected across Tether's peer-to-peer ecosystem.
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 the AI core and the app.
— Ensure close collaboration with AI research and deep tech teams on code reviews, design, and anything involving models or inference.
Product Partnership:
— Work alongside product managers to turn vision and roadmap into scoped, buildable work.
— Push back when scope and reality don't match and propose better paths.
— Bring an engineering perspective to product decisions, especially regarding local AI model capabilities and limitations.
— Help the team move fast using AI tools and quick prototypes to validate ideas before commitment.
Leadership:
— Create clarity around team goals and define success.
— Mentor team leads to build strong operating systems, improve collaboration, and grow as leaders.
— Lead by example: actively contribute when needed and step back when teams are ready to own their work.
Mandatory Requirements:
— Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered apps.
— Strong product sense to distinguish good features from busywork.
— Intuition for applied AI and on-device constraints such as model size, latency, memory, battery, and the gap between demos and reliable features.
— Heavy use of AI tools in own work and enthusiasm for experimenting with new models and capabilities.
— Deep knowledge of JavaScript and React.
— Initiative, curiosity, resilience, and ability to give and receive direct critique.
Preferred:
— Experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop apps, or open source.
Work format:
— Remote work from anywhere in the world.
Additional information:
— Recruitment scams warning and official application channels provided.
— Official careers page: https://tether.recruitee.com/
— Communication only via official company emails ending with @tether.to or @tether.io.
— No requests for payment or financial details during hiring.
— Candidates encouraged to mention the word EXTOLL when applying to confirm they read the job post fully.
Location: Philippines
Alvys is building modern infrastructure for the logistics industry. Our cloud-based TMS (Transportation Management System) powers freight operations with intuitive workflows, real-time visibility, and deep automation—helping carriers and brokers scale faster and operate smarter. We’re a fast-growing startup backed by top investors and are passionate about solving real-world problems for an essential industry. We’re looking for a highly skilled and hands-on
Accounting Manager.
In this high-impact role, you’ll be responsible for establishing scalable processes, ensuring the accuracy and integrity of our financial data, and enabling operational excellence as we grow.
Role overview
Alvys builds the transportation management platform that carriers and brokers use to run their businesses. As we scale, we’re building a finance function that is rigorous, hands-on and increasingly automated. We’re hiring an Accounting Manager to take ownership of the accounting engine behind that growth and work closely with the Head of Finance as the senior accounting lead on the team.
You’ll own the full accounting cycle — month-end close, general ledger, revenue, AP, payroll, tax and audit readiness — with responsibility for producing a clean, accurate and defensible set of books. This is a hands-on role for someone who understands the ledger deeply enough to explain what changed, why it changed and what needs attention.
You’ll run the close end to end, review the work prepared by the team, own the areas that require judgment, and step into the details when needed. You’ll also help develop the team, strengthen our processes and continue building the automation layer behind the finance function.
Key responsibilities
Month-end close and general ledger
Own the close calendar end to end — task assignment, deadlines, review, and the close results package delivered to the Head of Finance.
Review and post the journal entries prepared by the team, and prepare the entries that carry judgment — commission and bonus accruals, payroll true-ups, and period-end reclasses.
Perform detailed balance sheet reconciliations covering cash, AR, deferred revenue, prepaids and accruals.
Run flux analysis (MoM, YoY) across the P&L and balance sheet, and write variance commentary that explains the movement.
Maintain the chart of accounts and product master lists, and keep reporting mappings current.
Revenue reporting and billing oversight
Review and approve the monthly revenue close prepared by the billing analyst — the reconciliation of subscription and non-subscription revenue across Stripe, Salesforce and QuickBooks Online, and the entries that come out of it.
Own revenue recognition policy under ASC 606 and make the judgment calls: usage overages, multi-element contracts, contract modifications, concessions and early terminations.
Own annual recurring revenue reporting (ARR and CARR) — the monthly build, the roll-forward of new, expansion, contraction and churn, and the tie-out of that roll-forward back to booked revenue in the general ledger.
Connect recurring revenue reporting to Salesforce pipeline and contract reporting, reconciling bookings, billings and recognized revenue with the billing analyst.
Oversee invoicing, collections and the dunning cycle. Approve concessions, credit memos and refunds, and review the deferred revenue schedule against the billing system.
Accounts payable, expenses and payroll
Oversee vendor bills, payment runs and employee reimbursements in Ramp, in partnership with People Operations.
Partner with People Operations on domestic and international payroll — review the runs, journalize them, and reconcile the clearing and benefits-payable accounts.
Review commission calculations and book the corresponding accruals and true-ups.
Financial reporting and expense forecasting
Update the monthly expense forecast off closed actuals — run rate by department and GL account, vendor and contract commitments, headcount and compensation roll-forward.
Maintain the amortization and accrual schedules that drive forward-looking operating expense, and carry the changes into the forecast as they’re booked.
Explain spend variance against budget at the account and department level, and keep the supporting detail current for leadership reporting.
Tax, compliance and audit
Coordinate with our external advisors on federal, state and franchise tax filings.
Own sales tax, 1099 and entity registration compliance.
Run audit readiness and execution: PBC lists, supporting schedules, and auditor questions.
Team and process
Manage and develop a small analyst team covering AP and expense operations, and billing and AR.
Serve as backup across the team’s work, and as the Head of Finance’s delegate on accounting matters.
Own the accounting SOP library, the close checklist and the task repository, and keep all three current.
Find manual and inefficient processes and eliminate them as we target an “autonomous close.” Our close, billing and reconciliation processes already run on a growing set of automations, and this role is expected to extend them.
Minimum qualifications
Experience
6+ years
of progressive accounting experience, including ownership of a full close cycle and hands-on balance sheet reconciliation.
Solid full general ledger background — you’ve prepared and reviewed entries across payroll, accruals and revenue, can defend a balance, and understand how accounting activity flows through the income statement, balance sheet and cash flow statement.
Revenue recognition experience under
ASC 606
in a subscription business.
Experience managing, reviewing and developing other accountants.
Systems
QuickBooks Online — required.
Daily hands-on experience: chart of accounts, journal entries, bank reconciliation, reporting.
Stripe — required.
Subscriptions, invoices, credit memos, disputes, payouts, and reconciling subscription billing activity into the general ledger.
Advanced Google Sheets. Pivots, lookups, nested logic, data validation.
Salesforce
is a significant plus.
AI fluency and automation — required
Demonstrated, current use of AI in your accounting work. Be ready to tell us what you’ve automated, what it replaced, and how much time it gave back.
Comfort writing prompts, iterating on output, and knowing when not to trust it. Everything AI produces is reviewed before it touches the ledger.
Our finance function runs on a library of custom AI workflows built in-house. You’ll use them daily and be expected to build on them.
Preferred
CPA or active CPA candidate — someone committed to a career in accounting and finance.
SaaS or technology industry experience.
Prior exposure to a modern expense, HRIS or close-management platform.
Personal attributes
Hands-on by instinct. You review the work, and you prepare it yourself when the cycle calls for it — working a reconciliation, chasing a variance or covering a teammate’s queue during close week.
Comfortable operating on a small team where the person who owns the number also understands and builds the schedule behind it.
Growth mindset. This role is deliberately scoped to expand, and we’re looking for someone who wants that.
Clear written communication. A large share of this job is explaining a variance or accounting issue to someone who does not work in finance.
Why Alvys
Ownership.
You’ll run the close and monthly financial reporting, with direct review from and partnership with the Head of Finance.
Modern stack.
A cloud-native finance stack — QuickBooks Online, Stripe and Salesforce at the core — with an AI tooling layer we build ourselves.
Proximity to decisions.
You’ll work directly with leadership and have real influence on how the accounting function is built as the company scales.
Growth.
This role is designed to expand in scope, with a path toward Controller as the business and finance organization mature.
Collaborative culture.
Mission-driven people building the future of logistics technology, grounded in trust and transparency.
Alvys — Join our Team
If this sounds like your next challenge, we’d like to hear from you.
Equal Employment Opportunity
Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws.
We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone.
If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs.
For information about Alvys's privacy practices, see our
Privacy Policy
.
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: Boston, MA
Workplace: OnSite
At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep.
The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, software as a medical device, wellness and longevity, member insights, and emerging health signals. We combine continuous physiological data with clinical research and domain expertise to ship features that are scientifically grounded and useful to millions of members.
As a Staff Applied Machine Learning Scientist on the Health team, you will turn ambiguous clinical and product questions into defensible studies, models, and evaluation plans on WHOOP's longitudinal wearable and member data (physiological signals, behavioral logs, labs and integrations, and related streams). You will set the methodological bar for a Health domain. You will partner with Machine Learning Engineers on the path to production, and with Product, clinical, and Digital Health partners on what the data can and cannot support.
Success in this role requires applied algorithm and statistical craft, the judgment to operate across Health problem types, and Staff-level leadership: launching domain work independently, raising the quality and velocity of the people around you, and making clear prioritization calls under uncertainty.
RESPONSIBILITIES
- Lead the design, development, and validation of machine learning and statistical methods for Health features, using wearable physiological and behavioral data and related member sources.
- Frame ambiguous health and product questions into well-scoped modeling or study problems, with clear performance criteria, evaluation plans, and honest treatment of uncertainty and failure modes.
- Set the methodological and quality standard for a Health domain: reusable evaluation practices, review expectations, and documentation that others can inherit.
- Develop and refine approaches for time-series, longitudinal, and multimodal data, including data curation, labeling strategy, feature and representation choices, and offline evaluation that holds up under real-world noise, missingness, and population shift.
- Partner with Machine Learning Engineers to translate validated methods into production-ready systems, making modeling choices that account for scalability, reliability, latency, cost, monitoring, and (where relevant) controlled-release constraints.
- Serve as a technical counterpart to Product and Digital Health (clinical science, regulatory, quality): pressure-test performance requirements, study design, and evidence quality, and push back when a claim is not supportable.
- Raise the quality and velocity of the scientists and engineers around you through design reviews, mentorship, and the judgment of when to coach someone else to champion a problem versus taking it yourself.
- Communicate trade-offs, risks, and results clearly to technical, clinical, product, and leadership audiences; prevent misalignment early; drive decisions with evidence and a clear point of view on domain direction.
QUALIFICATIONS
- Master's or PhD (or equivalent professional experience) in Biomedical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Biostatistics, Bioinformatics, Physiology, or a related quantitative or health-science field.
- 7+ years of professional experience developing algorithms, applied ML models, or statistically rigorous analyses in health, wearables, medical devices, digital health, or a closely related domain.
- Demonstrated Staff-level technical leadership: setting methodological standards others reuse, influencing multi-team outcomes, mentoring senior ICs, and making prioritization calls under uncertainty. End-to-end project ownership alone is not sufficient.
- Strong foundation in statistics (Bayesian and frequentist) and machine learning for time-series and longitudinal data, with the ability to draw defensible conclusions from observational, noisy, or otherwise messy real-world data.
- Experience with wearable or physiological signals (PPG, IMU, HR/HRV, sleep, activity, temperature, or similar) or a closely related adjacent time-series domain.
- Hands-on experience designing studies or evaluation protocols end-to-end: data curation, metric choice, validation splits, subgroup and failure analysis, and documentation of assumptions and limitations.
- Strong Python skills with reproducible scientific / ML engineering hygiene (clean, reviewable code; comfort with stacks such as NumPy/SciPy/pandas, scikit-learn, PyTorch/TensorFlow).
- Clear, high-signal communicator who can move between deeply technical method discussions and cross-functional conversations with Product, clinical partners, and leadership.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: 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: Bangalore, India; Remote, Poland
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
At GitLab, People technology never stands still, and as a People Systems Engineer, you’ll build what keeps it moving. Reporting to the Senior Director, People Technology, and working alongside our Lead People Systems Engineer, you’ll design, build and maintain the automations, integrations and AI-powered workflows that connect Workday, Greenhouse, Slack and the tools that power our global workforce. You’ll own features from request through tested code, deployment and ongoing reliability across Workato, Google Cloud and Claude. With an AI-forward mindset, you’ll rethink how People work gets done, eliminating manual effort and creating streamlined, delightful experiences for team members. If you think like a software engineer, love solving puzzles and want to grow your career at the intersection of people systems, AI and automation in an all-remote, async-first environment, this is your role.
What You’ll Do
Build, test and maintain People system automations and integrations across Workato, Google Cloud Platform, Claude, Workday, Greenhouse and GitLab, owning your features from design through deployment.
Develop integrations between Workday, Greenhouse, Slack and internal tools using Workday Web Services (WWS) and Slack’s API and Bot SDK, and build Slack apps and bots that turn manual steps into simple, automated workflows for team members around the world.
Write clean, readable automation code in Ruby or a comparable scripting language, stored and versioned in GitLab, with clear documentation and peer code reviews.
Keep pace with a high-growth company by monitoring integration health, troubleshooting failures quickly and fixing root causes so our automations stay reliable at scale.
Ship changes safely through GitLab CI/CD pipelines, following testing, change-management and Sarbanes-Oxley (SOX) IT general controls (ITGC) standards with care.
Lead with AI: use AI tools, large language models (LLMs) and Model Context Protocol (MCP) frameworks, including Claude, every day to accelerate development, prototype AI agents and reimagine how People work gets done, then share what you learn so the whole team moves faster.
Look past the surface of a request to find the real problem, then recommend and build solutions that are durable, scalable and easy to support. Partner with People Technology Analysts on configuration, testing and releases, and with Information Security, IT and AI Engineering on security and standards.
Raise the bar for how automations are architected, documented and maintained, learning from and contributing alongside our Lead People Systems Engineer.
What You’ll Bring
Hands-on experience building automations or integrations, ideally with human resources or business systems.
Experience writing and maintaining code in Ruby or a comparable scripting language, such as Python or JavaScript, and a willingness to learn Ruby if you haven’t already.
Hands-on experience with Workato or a comparable integration platform as a service (iPaaS) in a production environment.
Experience working with APIs and web services, including REST and SOAP, and an understanding of how data moves between systems.
Proficiency with Git for version control and code review; you treat automation code like production software.
A forward-thinking, AI-forward mindset: you use AI tools every day to automate tasks, speed up development and improve processes, and you’re energized by what AI makes possible next.
The ability to work independently, solve problems with curiosity, come with options and a recommendation, and collaborate openly. You protect highly confidential information and take ownership of code quality, reliable outcomes and the end user’s experience.
Additional relevant experience includes Workday integrations (WWS, Reporting as a Service or Workday Studio), Slack apps or bots, CI/CD pipelines, Google Cloud Platform or Amazon Web Services, Docker or Kubernetes, building with LLMs, AI agents or MCP frameworks, SOX ITGC controls, Greenhouse, Serval, Google Workspace, or all-remote and asynchronous work. A related computing degree or equivalent experience is also welcome; none of these is required.
About the team
The People Technology team is building the systems foundation that lets GitLab scale as a global, all-remote company. We’re always raising the bar for what People technology can do, improving reliability, usability and intelligence across the platforms that power our People organization. We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work. If you want to grow your career building something that matters at a company working at the edge of what’s possible, this is the team.
How GitLab will support you
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental leave
Home office
support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
At GitLab, People technology never stands still, and this role will be at the center of it. Reporting to the Senior Director, People Technology, you’ll work alongside senior team members and partner closely with People Operations, People Business Partners and Talent Acquisition to keep our People systems running at the speed of a fast-moving, innovative tech company. No two days will look the same. One day you’re running recurring processes and answering questions from teams across the organization, the next you’re preparing Sarbanes-Oxley (SOX) audit evidence, building reports, writing test cases or delivering quarterly and annual changes and system upgrades. Using cycle-time analysis, best-practice research and AI tools, you’ll find better ways to operate and create streamlined, delightful experiences for the people using our systems, while growing your career in an all-remote, async-first environment.
What You’ll Do
Keep pace with the daily rhythm of a high-growth company by owning recurring processes, monitoring system health, resolving issues quickly and serving as a go-to resource for teams across the organization, especially People Operations, People Business Partners and Talent Acquisition.
Protect data integrity by administering system security, assigning and maintaining security roles, and running regular system and security audits.
Configure, test and deploy day-to-day enhancements as well as quarterly and annual changes, including annual People programs, so every update lands cleanly and on schedule. Support upgrades and releases by reviewing new features, running regression tests and helping stakeholders get ready for what’s changing.
Write and run test cases, and keep clear documentation of configurations, business processes, and reporting and integration schedules. Load mass datasets and distribute policies and documents with confidence and thorough testing.
Prepare and maintain SOX information technology general controls (ITGC) audit evidence and internal controls documentation, following access, security and change-management standards with care.
Build and maintain reports and dashboards that help stakeholders make decisions. Use cycle times and process data to find friction, then recommend and make configuration changes and measure their impact.
Help team members get the most out of their tools through training and enablement. Research best practices and new capabilities, and use AI every day to automate manual tasks, speed up analysis and share what you learn.
Support senior team members on cross-team projects and implementations, owning your workstreams and delivering quality results on time.
What You’ll Bring
Hands-on HR technology experience, including exposure to Workday configuration, testing or system support.
Exposure to public company operating procedures, such as SOX ITGC controls, audit evidence and change management.
A curious, puzzle-loving approach to problem-solving, backed by experience investigating issues, analyzing process data and finding the “why” behind a problem.
An AI-forward mindset, with experience using AI tools in your daily work to automate tasks, speed up analysis and improve processes.
Experience validating system changes and documenting findings clearly, along with close attention to detail and sound discretion with highly confidential information.
Independence and an ownership mindset: you take accountability for outcomes, move work forward with confidence and follow through on commitments.
A collaborative, customer-focused approach. You partner openly, design with the end user’s experience in mind, and bring polished options and a recommendation when you raise a problem.
A love for turning complex processes into simple, delightful experiences that let people focus on their best work.
Helpful but not required: experience with Serval, Greenhouse, Slack or Google Workspace; building reports and dashboards; supporting implementations, upgrades or releases, including regression testing; or working in a fast-paced, all-remote or async-first tech environment.
About the team
The People Technology team is building the systems foundation that lets GitLab scale as a global, all-remote company. We’re always raising the bar for what People technology can do, improving reliability, usability and intelligence across the platforms that power our People organization. We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work. If you want to grow your career building something that matters at a company working at the edge of what’s possible, this is the team.
How GitLab will support you
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental leave
Home office
support
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$95,200
—
$160,800 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Mexico
Workplace: remote
About Welo Data
Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment. Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai
About the Team
Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.
About the Role
We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one.
What You Will Do
Run investigations end-to-end:
triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA.
Own IDV review:
verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud.
Conduct manual audits and reviews:
prioritizing cases by risk and signal strength rather than intake order.
Detect multi-accounting and account integrity abuse:
recognize patterns across linked accounts, device/location overlap, and behavioral signals.
Apply a hypothesis-driven investigation method:
form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited.
Contribute to detection improvement:
escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team.
Handle sensitive data responsibly:
apply GDPR-aligned data handling and deletion practices in every case.
Collaborate cross-functionally:
partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework
What You Bring (Must Have-s)
5+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function.
Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring.
Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review.
Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal.
Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count.
Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion.
Nice to Have
Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms.
Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality.
Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level).
Case management system experience (any ticketing or knowledge-base tooling).
Recommended Education
Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field.
Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree.
Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.
Location: United Kingdom
Workplace: Remote
ABOUT DOCKER
Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout.
We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default.
_______________________________________________________________________
ABOUT THE ROLE
Docker’s Professional Services team partners with customers to turn AI and cloud-native deployments into working production outcomes.
We are looking for a technically fluent Delivery Program Manager to operate delivery engagements. You will be embedded as an overlay alongside technical sales, solution architects, forward deployed engineers, and delivery partners, translating customers’ technical and business requirements into scoped service engagements and managing them through delivery.
You will be both builder and operator: designing repeatable service offerings where none exist today, and equally willing to roll up your sleeves to scope a detailed Statement of Work or unblock a stuck engagement. If you thrive in ambiguity, love building order from chaos, and operate with high autonomy and low ego, this role is for you.
WHAT YOU'LL OWN
DELIVERY OPERATIONS
- Operationalize the end-to-end engagement lifecycle, from scoping and kickoff through delivery, handoff, and retrospectives.
- Directly manage customer engagements: plan, run governance cadences, track milestones, manage risks and dependencies, and escalations.
- Review technical assumptions in scopes and SOWs with solution architects (environments, integrations, identity, network and security constraints, customer prerequisites) so estimates and timelines hold up in delivery.
- Own customer readiness and handoff: environment prerequisites, acceptance criteria, and clean transition to Support and Technical Account Managers.
OFFERINGS AND REUSABLE ASSETS
- Partner with solution architects to create reusable delivery assets: playbooks, runbooks, statement of work templates, reference architectures, and onboarding workshops/guides.
- Turn repeatable customer patterns into packaged, fixed-scope offerings with defined outcomes, durations and pricing inputs.
- Build and maintain the sales-cycle engagement model and intake process for when and how Services are engaged across sales stages.
GOVERNANCE, TOOLING, AND METRICS
- Build the program management and governance infrastructure: intake frameworks, capacity planning models, risk registers, delivery dashboards, and milestone tracking.
- Define and report delivery KPIs: on-time delivery, utilization, engagement margin, customer satisfaction.
- Own SOW amendment and change-order processes: define when and how scope changes are documented, approved, and reflected in project tracking.
- Partner with Legal on SOW frameworks and language.
WHAT WE'RE LOOKING FOR
REQUIRED QUALIFICATIONS
- 8+ years of experience in technical program management, professional services, forward deployed engineering services or equivalent cross-functional roles.
- Experience at a B2B SaaS, developer tooling, or infrastructure software company delivering implementation, migration, or adoption engagements to enterprise customers.
- Demonstrated experience building programs, processes, or practices from scratch not just optimizing existing ones.
- Strong technical fluency: comfortable participating in systems architecture discussions, understanding system dependencies.
- Strong structured problem solving, facilitation, and systems thinking, including participation in
- Experience with Professional Services tooling and business systems (e.g., Salesforce, NetSuite, PSA tools)
- Exceptional written and verbal communicator able to produce executive-grade program readouts and customer-facing documentation alike.
- High degree of personal accountability; comfortable owning ambiguous problems with limited oversight and providing value-added improvements.
Preferred Qualifications
- Professional services, consulting, or delivery experience at an infrastructure software vendor or systems integrator.
- Experience self-serving data and analytics (Looker, Tableau, or similar) to build performance reporting.
- Prior experience scaling a Professional Services or delivery organization or a support services operation through a growth or transformation phase.
- Experience building engagements with third-party partners and system integrators within professional services delivery models.
WHY THIS ROLE
Building a PS function from the ground up is rare. This is an opportunity to shape how Docker serves its most strategic customers, define what great looks like for technical delivery, and leave a lasting operational footprint on a high-growth organization. You will have broad scope, executive access, and the room to build something that matters.
What to Expect in the First 30 Days
- Shadow: join scoping calls and review active projects.
- Audit the existing SOW process and template library to identify gaps in standardization, approval routing, and tracking.
- Meet your key partners: Sales Engineers, Solution Architects, Forward Deployed Engineers, Technical Account Managers, Finance and Legal.
What to Expect in the First 60 Days
- Manage first customer engagement directly, with support from the existing team.
- Identify the highest-priority SOW template gaps for standardization.
- Document the current delivery framework as it exists today capturing what's working, and what needs to change.
What to Expect in the First 60 Days
- Autonomously managing customer engagements.
- Support leadership with quarterly review cycles on active engagements and retrospectives.
- Translate process gaps into actionable workstreams with clear owners, timelines, and accountability.
Docker does not offer visa sponsorship for this role.
______________________________________________________________________
POSTING INFORMATION
- Open vacancy: This posting is for an existing open role.
- AI in hiring: Docker may use AI-assisted tools during our recruiting process.
- Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent.
______________________________________________________________________
PERKS & BENEFITS
- Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration.
- Flexibility that fits your life – We trust you to manage your schedule while delivering great work.
- Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break.
- Home office support – Set up your workspace for comfort and success.
- Technology stipend – Equivalent to US$100 net per month to help support your work.
- Learning & development – Annual stipend for conferences, courses, certifications, and continued learning.
- Parental leave – 16 weeks of paid parental leave after six months of employment.
- Equity for all full-time employees – Share in Docker's long-term success as we continue to grow.
- Comprehensive benefits – Medical, retirement, and paid holidays vary by country.
- Docker swag – Because representing the whale never gets old.
Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community.
#LI-REMOTE
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Job Description
As a Data Engineer, you will be a member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics for consumer products from idea to implementation. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.
Responsibilities
:
Understand and whenever possible proactively identify the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
Closely partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products in a fast paced environment
Influence the future roadmap of Product teams from a data systems perspective
Become an expert in our organization’s data models and the company's data architecture
You might be a good fit if you have:
7+ years of experience as an Data Engineer or similar Data Science & Analytics roles, preferably partnering with Product leads to build and report on key company-wide metrics.
A passion for the company's mission of building helpful, honest, and harmless AI.
Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub.
Expertise in SQL and Python to transform data into accurate, clean data models
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams.
A bias for action and urgency, not letting perfect be the enemy of the effective.
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description.
Experience building a Data Engineering (or similar) function at start-ups.
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress.
Experience scaling own productivity and that of others by leveraging AI without sacrificing the quality of deliverables.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Keepgo — глобальный провайдер мобильного интернета, предлагающий инновационные продукты и решения на основе виртуальных технологий, прежде всего eSIM.
Мы ищем опытного PHP Backend (Laravel) Разработчика, который поможет ускорить разработку бэкенда, разгрузит текущую команду и закроет бэклог задач.
Миссия:
— Поддерживать и улучшать качество существующего кода, в том числе legacy-частей.
Обязанности:
— Разработка новых фич бэкенда платформы управления мобильным интернетом (eSIM и обычные SIM)
— Проектирование и реализация REST API endpoints
— Поддержка и постепенный рефакторинг legacy-кода
— Оптимизация производительности и запросов к БД
— Написание unit и integration тестов
— Участие в code review
— Вести повторяемые части работы с помощью ИИ-агентов (интеграция нового провайдера, типовые endpoint'ы, тесты) — постепенно доводя типовую задачу с дней до часов.
Требования (Must-have):
— 4+ года коммерческого опыта в PHP
— 2+ года опыта работы с Laravel (актуальные версии)
— Уверенное знание PHP 8.1+ (у нас сейчас PHP 8.4)
— Опыт работы с Laravel 10+
— MySQL: проектирование схемы, индексы, оптимизация запросов, чтение EXPLAIN
— Опыт работы с Docker и docker-compose
— Опыт работы с Git, pull requests, участие в code review
— Опыт написания unit/integration тестов (PHPUnit или Pest)
— Готовность работать с legacy-кодом, умение разбираться в "чужих" решениях
— Понимание SOLID, базовых паттернов проектирования
— Английский: Beginner и выше
— Практический опыт или четкое понимание ценности работы через ИИ-агентов
— Осознанная проверка кода за агентом: умение аргументированно объяснить логику и корректность сгенерированного результата
Будет плюсом (Nice-to-have):
— Опыт работы с очередями (Redis, RabbitMQ, Laravel Queue)
— Опыт с PHPStan / Larastan (статический анализ)
— Опыт с CI/CD (GitHub Actions, GitLab CI и т.п.)
— Опыт работы в архитектуре модульного монолита или микросервисов
— Понимание DDD / Clean Architecture
— AWS или Azure
— Опыт работы в telecom
— Навык декомпозиции задач для эффективного делегирования ИИ-агентам
— Умение выявлять характерные изъяны AI-кода
— Опыт создания системных инструкций и переиспользуемых ролей для агентов вместо написания разовых запросов
— Способность выстраивать многоэтапные цепочки агентов (анализ → планирование → кодинг → тест)
— Навык интеграции агентов с внешним окружением: MCP-серверами, технической документацией и таск-трекерами
— Четкое понимание границ применимости ИИ: где автоматизация полезна, а где целесообразнее ручное исполнение
Bangalore, India; Remote, Poland; We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work
УдалённоRemote, United States; We work across core systems, integrations, reporting and compliance, and partner closely with stakeholders across time zones to move fast, build with purpose and create seamless experiences that empower people to do their best work; The base salary range for this role’s listed level is currently for residents of the United States only
УдалённоMexico
УдалённоUnited Kingdom
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Все вакансии в одном месте - страница 22 · Job Hunters
