Location: Remote - United Kingdom
Who we are
At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to
hundreds of thousands of businesses
and empower millions of developers worldwide to craft personalized customer experiences.
Our dedication to
remote-first work
, and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands.
.
Hiring and how we work
We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions!
Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings.
.
See yourself at Twilio
Join the team as Twilio’s next Presales Engineer, South EMEA.
About the job
This position is needed to enable our customers to build the future of communications. The Presales Engineer is a critical part of the sales team focused on our both New Business and Strategic segments.
Twilio’s Presales Engineers are responsible for delivering the Technical Win and best Product Fit to our customers. They lead the technical pre-sales relationship, drive technical discovery, propose technical architectures, demonstrate the product, anticipate concerns and offer creative solutions. They build customer trust in Twilio’s solutions.
Presales Engineers should be comfortable engaging a CEO or sketching out an API flow on a whiteboard with customer software engineers.
Responsibilities
In this role, you’ll:
Partner with Account Executives to execute pre-sales activities including opportunity qualification, demonstrations, Proof-of-Concept, RFP, design documentation, technical presentations and enablement sessions.
Help customers achieve success by leading the technical and product sale, recommending best-practice solutions, and guiding them on how to use Twilio’s APIs.
Establish yourself as a trusted advisor to our customers, by taking the lead on understanding customer technical pains through discovery in order to design, demonstrate, and present innovative solutions that solve business challenges.
Build and present highly interactive, complex and engaging customer product demonstrations to help showcase the capabilities of Twilio’s Communications Products, while effectively forming strong customer relationships with both technical and nontechnical stakeholders
Be Hands-on, high-energy, passionate, and a creative problem solver, equipped with the knowledge of how to get things done and ability to lead others to success.
Take the initiative to identify and solve problems - both for the customer and within the organization as we grow
Contribute to the broader Twilio Presales Engineering community through knowledge sharing, constructing demonstration materials, and creating reusable presentations
Mentor less experienced Presales Engineers
Qualifications
Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table!
*Required:
8+ years pre-sales experience selling complex, technical products or 10+ years of professional experience supporting technical products coupled with customer facing experience, particularly in delivery or consulting
Excellent communicator and presenter able to gain audience confidence
An engaging storyteller - you can gain audience confidence and communicate complex topics to multiple levels of audience.
Ability to build a deep understanding of a customer’s communications needs and guide them to a technical solution
Previous software development experience or working knowledge in one or more of the following areas:
Backend (Java, C#, Node.js, Python, PHP)
Web development (JavaScript, HTML/CSS, frontend frameworks - React, Vue.js, Angular)
Experience building with REST APIs
Previous experience in Telecom, SIP, Contact Center, or Security .
Experience with sales methodologies
Bachelor’s and/or Master’s degree in a technical discipline (Engineering, Mathematics, Computer Science) or equivalent practical experience
Desired:
Familiarity with cloud platforms (Amazon Web Services, Google Cloud, Microsoft Azure) and cloud application architecture.
Experience working with customers in the South region
Proficient French, Spanish or Italian speaker
Location
This role will be remote and based in the UK, Ireland or Spain
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 35% travel is anticipated to help you connect in-person in a meaningful way.
What We Offer
Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location.
Twilio thinks big. Do you?
We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call
Twilio Magic
. Additionally, we empower employees to build
positive change in their communities
by supporting their volunteering and donation efforts.
So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for,
please consider other open positions.
.
Stay alert to recruitment fraud
We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @
twilio.com
email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps.
.
Twilio is proud to be an equal opportunity employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Senior Software Engineer, Full Stack - New Verticals
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
We partner with some of the largest grocery retailers in the world, as well as a large number of small independent grocers.
In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy.
We’re looking for a
Senior Software Engineer - Full Stack
to join our
London
team. In this role, you’ll help us build and scale seamless, high-performance features that span our entire stack, ensuring a world-class experience for our customers, partners, and riders.
Get to know our
Engineering team
— what drives us, how we work, and what you can expect.
What You’ll Be Doing
This role is based in our London office with a
hybrid
setup, typically 3 days in the office.
Here’s what your day-to-day might look like:
Drive Technical Excellence:
Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture
Lead Project Planning:
Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area
Optimise Operations:
Improve performance, reliability, scalability and security for our backend systems
Collaborate & Influence:
Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap.
Mentor & Hire:
Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Proficiency in using AI coding tools
(e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
Strong Engineering Principles:
Deep pride in writing readable, well-designed, and well-tested software.
Backend Expertise:
Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust, React).
Data Proficiency:
Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch.
Systems at Scale:
Proven ability to manage web architecture at scale (handling 20krpm and above).
Technical Leadership:
Experience breaking down large pieces of work and guiding implementation choices for a team of engineers.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠
Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎
A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰
Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages.
Explore our Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: United States
Location & Work Arrangement
Costa Mesa, CA (On-Site) preferred
Remote opportunities may be considered
for exceptionally strong candidates located elsewhere in the U.S.
Employment Details
Contract:
6 months, with potential for extension or conversion to a permanent position
Target Bill Rate:
Up to $120/hour
Requirements
Must be a
U.S. Citizen
Must be
eligible to obtain and maintain a Top Secret security clearance
WHAT YOU'LL DO
Thermal design and analysis of unmanned air vehicles at conceptual, preliminary, and detailed design maturities
Define thermal system architectures and material selection strategies for vehicles operating in demanding flight environments
Thermal analysis of flight vehicles using CFD, FEA, and engineering methods
Material response modeling under combined thermal and mechanical loads
Transient thermal analysis for time-varying mission profiles
Ground test planning, execution, and analysis in specialized thermal test facilities
Flight test planning, execution, and post-flight thermal data analysis
Use first principles and MATLAB/Python models to inform design decisions
Collaborate with aerodynamics, structures, electrical, and systems engineers on integrated solutions
Present thermal status at formal reviews internally and with customers
Prepare formal documentation (specifications, test procedures, technical reports)
REQUIRED QUALIFICATIONS
MS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics with focus on heat transfer and fluid dynamics
In-depth understanding of heat transfer, fluid dynamics, and high-temperature environments
5+ years of experience in aerospace thermal engineering on rocket, aircraft, or missile programs
Experience with thermal analysis in high-speed flight regimes
Thermal analysis experience using CFD (STAR-CCM+, ANSYS Fluent) and/or FEA thermal solvers
Experience with thermal-structural coupling
Ground testing experience with thermal instrumentation and data acquisition
Strong programming skills in MATLAB, Python, or similar for tool development
Experience preparing formal documentation
CAD experience with SolidWorks or Siemens NX
Passion for defending the United States and her allies
Ability to obtain and hold a U.S. Top Secret security clearance
PREFERRED QUALIFICATIONS
Experience with material response modeling in extreme thermal environments
Knowledge of material degradation and surface phenomena under demanding conditions
Experience with specialized thermal ground test facilities
Experience with chemical kinetics and finite-rate chemistry modeling
Flight test experience including instrumentation design and post-flight analysis
Experience with thermal-structural analysis codes (NASTRAN, Abaqus, ANSYS Mechanical)
Material characterization experience at elevated temperatures
Experience with manufacturing and assembly of thermal systems
Active U.S. security clearance
Location: United States
Location & Work Arrangement
Costa Mesa, CA (On-site) preferred
Remote opportunities may be considered
for exceptionally strong candidates located elsewhere in the U.S.
Employment Details
Contract:
6 months, with potential for extension or conversion to a permanent position
Target Bill Rate:
Up to $120/hour
Requirements
Must be a
U.S. Citizen
Must be
eligible to obtain and maintain a Top Secret security clearance
What You'll Do
· Own thermal design and analysis for integrated hardware products, including drones, aircraft, missiles, or related defense systems.
· Use first-principles engineering judgment to determine the right level of analysis for each design decision, including hand calculations, spreadsheets, MATLAB / Python models, FEA, and CFD.
· Define thermal architectures that can withstand rugged environments, demanding flight envelopes, and operational edge cases, including hot, cold, transient, and mission-specific thermal conditions.
· Partner with electrical, mechanical, aerospace, software, and systems engineers to document power dissipation, operating modes, thermal constraints, and design tradeoffs.
· Build and maintain thermal FEA / CFD models to predict system performance, establish design limits, and define red / yellow operating thresholds for test and field use.
· Define and execute prototype builds and thermal tests, including CAD support, sensor selection, DAQ setup, data post-processing, and results documentation.
· Present thermal status, risks, tradeoffs, timelines, and recommendations in internal design reviews and customer-facing technical reviews.
· Develop internal tools, workflows, or analysis methods that improve speed, consistency, and quality of thermal decision-making.
· Support failure reviews and root-cause investigations using test data, thermal analysis, and first-principles reasoning.
Required Qualifications
· MS or PhD in Mechanical Engineering, Aerospace Engineering, Applied Physics, or a related field with a focus on heat transfer, fluid dynamics, thermal sciences, or thermal systems.
· 5+ years of experience designing, analyzing, or validating thermal systems for integrated hardware products.
· Strong first-principles understanding of heat transfer and fluid dynamics, including conduction, convection, radiation, fluid flow, and transient thermal behavior.
· Experience supporting thermal design for aerospace, aircraft, rocket, missile, UAV, defense, or other high-performance hardware systems.
· Experience using thermal analysis, modeling, simulation, and/or physical test data to drive design decisions for passive or active thermal management systems.
· Ability to communicate technical tradeoffs clearly across engineering, program, and customer stakeholders, and ability to obtain and maintain a U.S. Top Secret security clearance.
Preferred Qualifications
· Experience with thermal analysis tools such as STAR-CCM+, ANSYS, Icepak, Flotherm, or comparable FEA / CFD platforms.
· Experience using MATLAB, Python, spreadsheets, or similar tools for first-order thermal modeling, transient analysis, or engineering trade studies.
· Experience designing thermal hardware such as heat sinks, cold plates, fans, pumps, heat exchangers, thermal interface materials, liquid cooling systems, or air-cooling systems.
· Experience planning or executing thermal tests, including sensor selection, data acquisition, data post-processing, and correlation of test results to analysis.
· Experience with SolidWorks, Siemens NX, or comparable CAD tools.
· Experience supporting formal design reviews, customer reviews, flight test, qualification testing, or fielded hardware.
· Experience developing reusable analysis tools, automation workflows, reduced-order models, or other methods that improve analysis speed and consistency.
· Strong motivation to support Client’s mission of defending the United States and allied partners.
Location: Costa Mesa, United States
📍
Location:
Costa Mesa, California
📄
Employment Type:
Contract-to-Perm
🏢
Work Arrangement:
Remote Opportunity for Top Candidates
🚀
Start Date:
TBD
💰
Compensation:
TBD — based on skills and experience
Important Screening Requirements
Remote opportunity is open to qualified candidates
within the United States
.
Relocation assistance is available to qualified candidates from other countries.
5+ years of experience
designing, analyzing, or validating thermal systems for integrated hardware products.
MS or PhD
in Mechanical Engineering, Aerospace Engineering, Applied Physics, or a related field, with a focus on heat transfer, fluid dynamics, thermal sciences, or thermal systems.
Strong first-principles understanding of
heat transfer and fluid dynamics
.
Experience supporting thermal design for
aerospace, aircraft, rocket, missile, UAV, defense, or other high-performance hardware
.
Experience with thermal analysis, modeling, simulation, and/or physical test data.
Ability to communicate technical tradeoffs across engineering, program, and customer stakeholders.
Ability to obtain and maintain a
U.S. Top Secret security clearance
, where required.
About the Role
We are seeking a
Senior Thermal Engineer
to own thermal design and analysis for advanced defense hardware across drones, aircraft, missiles, and related flight systems.
This role is ideal for an engineer with deep expertise in
heat transfer and fluid dynamics
, strong thermal analysis capabilities, and the engineering judgment to select the appropriate level of analysis—from first-order hand calculations through detailed FEA and CFD—to support rapid and effective design decisions.
You will work across multidisciplinary engineering teams to develop thermal architectures, evaluate system performance, support prototype testing, and drive thermal design decisions for demanding operating environments.
What We’re Looking For
We’re looking for a senior thermal engineer who can take ownership of thermal engineering
from early design and analysis through testing and validation
.
The ideal candidate combines strong fundamentals in heat transfer and fluid dynamics with hands-on experience applying thermal analysis to complex, high-performance hardware. You should be comfortable working across disciplines, making engineering tradeoffs, troubleshooting thermal issues, and communicating technical recommendations to both engineering and customer stakeholders.
Key Responsibilities
Thermal Design & Analysis
Own thermal design and analysis for integrated hardware products, including
drones, aircraft, missiles, and related defense systems
.
Apply first-principles engineering judgment to determine the appropriate level of analysis for each design decision, including:
Hand calculations
Spreadsheets
MATLAB/Python models
FEA
CFD
Define thermal architectures capable of operating in rugged environments and demanding flight envelopes.
Evaluate
hot, cold, transient, and mission-specific thermal conditions
.
Cross-Functional Engineering
Partner with electrical, mechanical, aerospace, software, and systems engineers to document:
Power dissipation
Operating modes
Thermal constraints
Design tradeoffs
Build and maintain thermal
FEA/CFD models
to predict system performance, establish design limits, and define red/yellow operating thresholds for testing and field use.
Prototype Testing & Validation
Define and execute prototype builds and thermal tests.
Support CAD activities, sensor selection,
DAQ setup
, data post-processing, and test-result documentation.
Use test data and thermal analysis to validate designs and support engineering decisions.
Technical Leadership & Continuous Improvement
Present thermal status, risks, tradeoffs, timelines, and recommendations during internal design reviews and customer-facing technical reviews.
Develop internal tools, workflows, and analysis methods that improve the speed, consistency, and quality of thermal decision-making.
Support failure reviews and root-cause investigations using test data, thermal analysis, and first-principles engineering reasoning.
Required Qualifications
MS or PhD
in Mechanical Engineering, Aerospace Engineering, Applied Physics, or a related field focused on heat transfer, fluid dynamics, thermal sciences, or thermal systems.
5+ years
of experience designing, analyzing, or validating thermal systems for integrated hardware products.
Strong first-principles understanding of:
Conduction
Convection
Radiation
Fluid flow
Transient thermal behavior
Experience supporting thermal design for aerospace, aircraft, rocket, missile, UAV, defense, or other high-performance hardware systems.
Experience using thermal analysis, modeling, simulation, and/or physical test data to drive design decisions for passive or active thermal management systems.
Ability to clearly communicate technical tradeoffs across engineering, program, and customer stakeholders.
Ability to obtain and maintain a
U.S. Top Secret security clearance
, where required.
Preferred Qualifications
Experience with thermal analysis tools such as:
STAR-CCM+
ANSYS
Icepak
FloTHERM
Comparable FEA/CFD platforms
Experience using
MATLAB, Python, spreadsheets
, or similar tools for first-order thermal modeling, transient analysis, or engineering trade studies.
Experience designing thermal hardware such as:
Heat sinks
Cold plates
Fans
Pumps
Heat exchangers
Thermal interface materials
Liquid cooling systems
Air-cooling systems
Experience planning or executing thermal tests, including sensor selection, data acquisition, data post-processing, and correlation of test results to analysis.
Experience with
SolidWorks, Siemens NX, or comparable CAD tools
.
Experience supporting formal design reviews, customer reviews, flight testing, qualification testing, or fielded hardware.
Experience developing reusable analysis tools, automation workflows, reduced-order models, or other methods that improve analysis speed and consistency.
Location: Home based - EMEA
We are hiring a
General Counsel
, reporting to the Chief Operating Officer (COO). This role leads Canonical’s global Legal and Compliance function.
This is a unique opportunity for an
exceptional and commercially-minded senior lawyer
to lead the legal and compliance function of a profitable, fast-growing technology company that is privately held with the intention to list on a public exchange. We’re looking for someone with genuine fluency in the software industry and in open source dynamics, who can translate that insight into clear positions on licensing, commercial contracts and risk, and hands-on execution.
Reporting directly to the Chief Operating Officer, you will
own Canonical's legal, regulatory and governance posture
and lead a distributed team across EMEA and the Americas. Your primary challenge will be to continue building both the team and the architecture: a management layer across two regions, and the governance, contracting and controls a public company needs, in an environment that regularly does things the industry has not done before. You will work closely with our product and engineering teams on licensing and IP questions, with the security function on customer assurance, and you will advise the Board and its committees directly.
In our selection process, we
prioritize intellect and judgement
alongside depth of practice. We are looking for someone with a strong academic background, an active licence to practice, and demonstrable exposure to a multilayered global operational environment.
Location:
This role will be based remotely in EMEA time zones.
The role entails
Leading the global Legal and Compliance function: setting it's structure, standards and priorities across EMEA and the Americas.
Building and managing a management capability: hire and develop managers, set objectives, review performance against a clear bar, and address under-performance directly.
Setting the operating cadence of the function: intake and prioritization of legal work, service expectations with internal clients, and reporting on workload and risk to the leadership team.
Owning public-market readiness on the legal side: corporate governance, group and entity structure, delegated authority, policies, disclosure controls and records, in partnership with Finance.
Advising the CEO, COO, CFO and the Board, and supporting in Board and committee meetings.
Owning the commercial contracting framework: standard templates, negotiating positions, and a deviation and escalation process that makes commitments visible before they are signed.
Leading intellectual property and open source licensing strategy, including copyleft, trademark and the terms on which Ubuntu and our products are distributed.
Owning the global compliance programme: data protection and privacy, export controls and trade compliance, anti-bribery and corruption, competition and AI regulation.
Managing litigation, disputes and regulatory engagement, together with the external counsel panel, its budget and its quality.
Advising on M&A, partnerships, strategic alliances and financing as the company grows.
What we are looking for in you
An exceptional academic track record from both high school and university.
A degree in law, or equivalent, and an active licence to practice in an EMEA or Americas jurisdiction.
Substantial senior in-house experience in a global technology or software business.
Proven experience leading a distributed legal team, including managing managers across regions and time zones.
A track record of setting and holding a high performance bar: hiring well, developing people, and dealing with under performance directly rather than waiting it out.
Experience building or restructuring an in-house legal function, including deciding what is retained, delegated and sent to external counsel.
Technology related experience of:
negotiating and owning commercial technology contracts, including enterprise software and subscriptions, channel and reseller agreements, hardware manufacturer agreements, cloud and services
advising on open source licensing, including permissive and copyleft licences, and familiarity with how open source communities operate.
Experience of, or demonstrable readiness for, public company governance: listing preparation, board and committee support, disclosure and controls.
Depth in at least two of: data protection and privacy, IP and trademark, export controls and trade, competition, or disputes.
Confidence to respectfully speak up, exchange feedback, hold colleagues accountable, and share ideas without hesitation.
Professional written and spoken English with excellent drafting and presentation skills.
Excellent interpersonal skills, curiosity, flexibility, and accountability.
International travel two to four times a year for company events up to two weeks long.
Nice-to-have skills
Experience taking a company through an IPO, or practicing as counsel inside a listed company.
A technical or engineering background, or fluency in how software is built and shipped.
Experience of a subscription or recurring-revenue business model.
Experience building or restructuring an in-house legal function.
A qualification in more than one jurisdiction.
What we offer colleagues
We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
Distributed work environment with twice-yearly team sprints in person.
Personal learning and development budget of USD 2,000 per year.
Bi-annual compensation review.
Company recognition rewards.
40 days annual leave per annum, including public holidays and our All Company holiday periods.
Maternity and paternity leave.
Team Member Assistance Program & Wellness Platform.
Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access.
About Canonical
Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing.
Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
Canonical is an equal opportunity employer
We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products.
Whatever your identity, we will give your application fair consideration.
Location: Remote (US)
About the company
Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We are the global leader in tokenized treasuries, tokenized stocks and ETFs, and are building the future of institutional-grade financial services onchain.
Founded by folks from Goldman Sachs Digital Assets Team, we’re backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S.
About the role
We’re looking for a Senior iOS Engineer to help build Ondo’s mobile experience. You’ll own features from early product discussions through release and improvement, working closely with design, product, and engineers across the stack.
Financial software asks a lot of its interface. People need to understand what they own, what an action will do, and whether it succeeded. You’ll bring strong iOS judgment to those moments: making complex flows feel clear while treating security, accessibility, performance, and reliability as core parts of the product.
What you’ll do
Build and maintain native iOS features in Swift, from architecture and implementation through App Store release.
Partner with design and product to turn complex financial workflows into clear, responsive mobile experiences.
Shape how the app handles authentication, account state, transactions, errors, and interrupted flows.
Work with backend and platform engineers to define reliable app-facing contracts.
Improve quality through thoughtful testing, observability, code review, and attention to real user behavior.
Help set technical direction for iOS and mentor other engineers through collaboration and feedback.
What you bring
A track record of shipping and improving production iOS apps with Swift.
Strong command of SwiftUI and practical experience with UIKit where it serves the product.
Sound judgment about app architecture, asynchronous work, state management, networking, and persistence.
Experience designing for security, privacy, accessibility, and performance.
The ability to take ownership of an ambiguous problem, make clear tradeoffs, and bring others along.
Care for the details users notice and the failure cases they should never have to think about.
Experience with financial products, trading, digital assets, or wallets.
Experience building apps that handle sensitive account or transaction flows.
Familiarity with release automation, analytics, and crash monitoring.
What we offer
Competitive compensation including but not limited to salary, future token rights, and/or equity (according to your preferences) — We are well-funded and believe that great talent deserves great compensation.
Full benefits (medical, vision, and dental) and flexible vacation policy (PTO).
Remote-first team across many countries — You will be an early team member helping shape our vision, culture, and design practices.
A+ colleagues — Our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, McKinsey, Circle, Uniswap.
Best-in-class investors — We are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures.
Location: Ukraine
Workplace: Remote
Who Are We?
Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing.
We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously.
With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started.
What We're Looking For
We're looking for a Total Rewards Specialist to own the analytics and frameworks behind how we pay: compensation ranges, review cycle models, market benchmarking, pay gap analysis; plus our benefits programs across our hubs. Strong with data, fluent in spreadsheets, confident with stakeholders.
Key Responsibilities:
- Build and maintain compensation analytics and reporting that leadership and HRBPs actually use.
- Maintain and extend compensation ranges across hubs, including new locations and cooperation models.
- Run the mechanics of our compensation review cycles: matrices, budget models, scenario costing, system settings, compensation statements.
- Run market benchmarking end to end: data submissions, survey analysis, positioning conclusions, and a clear recommendation
- Support the EU Pay Transparency rollout: pay gap analysis, action plans where gaps exceed thresholds, and getting us ready to answer pay questions properly
- Contribute to job architecture, job evaluation and levelling.
- Design and administer bonus schemes and keep the rules defensible and documented.
- Own benefits renewals end to end: benchmarking, vendor negotiation prep, business cases, contracts with Procurement, comms.
- Own the benefits budget and track effectiveness.
- Use AI and automation to take manual work out of recurring analytics and processes.
Required skills
- Solid experience in Compensation & Benefits roles, with a deep understanding of compensation frameworks and benefits management.
- Demonstrated expertise in implementing effective compensation and benefits practices for international markets.
- Strong ability to collect, validate, analyze, and interpret data, identify trends, and make data-driven decisions while making complex data easy to understand.
- Experience in conducting market research and benchmarking to ensure competitive compensation and benefits offerings.
- You are considered an Excel expert by your peers, have advanced proficiency in Google Spreadsheets and Presentations.
- Capable of managing multiple projects simultaneously and ensuring timely, successful execution.
Candidate journey
⭕️ Recruiter call --> ⭕️ Meet a team member --> ⭕️ Skills assessment--> ⭕️ Meet the Leadership team
✨ Why You’ll Love Being Part of Welltech:
- Grow Together: Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together.
- Lead by Example: No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact.
- Results-Driven: We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day.
- We Are Well-Makers: Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality!
Check out some of our products
Muscle Booster — https://musclebooster.fitness/
Yoga-Go — https://yoga-go.io/
Omo — https://omo-weight-loss.app/
FastEasy — https://fasteasy.life/
WalkFit - http://walkfit.pro
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.
- Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations.
- Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders.
- Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations.
- Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.
- Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product.
WHAT YOU'LL BRING
- 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts.
- Strong communication skills: Exceptional verbal and written communication abilities in English, with fluency in Swedish, Norwegian, or Danish.
- Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals.
- Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions.
- Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling.
EVEN BETTER...
- Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends.
- Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States; Canada; United Kingdom; Germany; The Netherlands
Workplace: Remote
ClickHouse Labs is an applied research group that works closely with engineering teams to identify challenging problems in database systems and develop novel solutions. Our goal is to advance the state of the art and translate research ideas into real-world system improvements.
ABOUT THE ROLE
As a Research Scientist at ClickHouse Labs, you will work on high-impact problems at the intersection of database systems, distributed systems, AI, and systems software engineering while collaborating with experienced researchers and engineers. The role covers a broad range of problems across database systems research and engineering, including but not limited to query optimization, execution engines, distributed systems, consensus protocols, materialized views, indexing and data structures, benchmarking, workload analysis, and emerging agentic workloads.
In this role, you will work on leading open-source database systems (e.g., ClickHouse, PostgreSQL). You will investigate performance and scalability bottlenecks in production-quality systems, develop new algorithms and system designs, and evaluate them under realistic workloads and hardware configurations. Projects may involve improving query planning and execution, reducing CPU and memory overhead, increasing throughput and concurrency, scaling across distributed deployments, or redesigning system components to leverage modern hardware better. You will work closely with engineers to turn successful ideas into robust implementations that can be deployed and maintained in widely used open-source systems.
Researchers are encouraged to publish their work, contribute to open-source projects, participate in leading research conferences, and pursue ambitious projects with strong engineering and research support.
RESPONSIBILITIES
- Conduct applied research aimed at advancing the performance, scalability, reliability, and functionality of open-source database management systems, including ClickHouse and PostgreSQL.
- Design and evaluate new algorithms, data structures, and system architectures for areas such as query optimization, indexing, storage management, query execution, and distributed data management.
- Develop high-quality research prototypes and production-grade implementations, and work with engineering teams to integrate successful techniques into open-source and production systems.
- Collaborate closely with database engine, infrastructure, and data-plane engineers to identify high-impact research problems and translate research results into practical system improvements.
- Analyze large-scale database workloads, performance traces, benchmarks, and production telemetry to identify bottlenecks and optimization opportunities.
- Design rigorous experiments and benchmarks to evaluate new techniques across realistic workloads, hardware configurations, and deployment environments.
- Communicate research results through technical reports, open-source contributions, internal presentations, and publications at leading database and systems venues (e.g., SIGMOD, VLDB, CIDR).
- Contribute to the broader technical direction of ClickHouse Labs by identifying emerging research opportunities and helping shape longer-term research projects.
QUALIFICATIONS
MINIMUM QUALIFICATIONS
- Masters/Ph.D. in Computer Science, Data Science, or a related field, with research experience in databases, distributed systems, systems software, or machine learning systems.
- Strong publication record in leading peer-reviewed research venues such as SIGMOD, VLDB, SOSP, OSDI, NSDI, or NeurIPS, with work relevant to databases or systems.
- Strong programming and systems-development background, including experience working with database internals or other large systems codebases such as PostgreSQL, MySQL, ClickHouse, or comparable modern DBMSs.
- Proficiency in systems programming using C, C++, Rust, Zig, or a comparable low-level programming language.
- Strong analytical, experimental, problem-solving, and technical communication skills.
PREFERRED QUALIFICATIONS
- Experience developing or operating database systems in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure.
- Familiarity with large language models, reinforcement learning, learned optimization, or other techniques at the intersection of machine learning and systems.
- Experience contributing to large open-source systems projects, particularly database engines, distributed systems, compilers, or storage systems.
BONUS QUALIFICATIONS
- Familiarity with modern systems-development and verification tooling, including formal specification or model-checking frameworks such as TLA+/PlusCal, Alloy, or Lean, as well as relevant development tools and languages such as LLVM, eBPF, Python, Go, or advanced profiling and debugging tools (e.g., perf, sanitizers, or tracing frameworks).
- Proven track record in optimizing database systems via hardware acceleration (e.g., GPU, FPGA, CXL), with a focus on designing methods for offloading for query execution, storage layers, and data-intensive primitives using frameworks like CUDA, SYCL, ROCm, or specialized FPGA development flows.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: San Francisco, CA | 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.
ABOUT THE ROLE
We are seeking an experienced leader to oversee Anthropic's global equity administration and payroll operations. In this role, you will lead the teams responsible for our equity compensation administration programs and global payroll operations, ensuring both functions scale accurately, compliantly, and efficiently as we grow — including through listing readiness and public-company operations. You will manage senior functional leaders across equity and payroll, and partner closely with Legal, Tax, HR, and the broader Accounting organization to support our mission to make AI beneficial for humanity.
RESPONSIBILITIES
Lead and develop the equity administration and payroll teams, setting strategy, priorities, and operating cadence across both functions
Own the control environment for equity and payroll: design and document to public-company standards.
Oversee scaling to public-company standards across both functions.
Drive systems strategy across the compensation platforms, from equity to payroll, and surrounding integrations, ensuring a coherent architecture as we scale
Serve as the primary escalation point and executive interface for equity and payroll matters with Legal, Tax, HR, and external providers
Oversee international expansion of both functions, including new-country payroll setup, cross-border equity compliance, and mobility programs
Partner with Accounting on stock-based compensation and payroll accounting, ensuring clean handoffs for close, reporting, and audit
Drive automation and continuous improvement of manual processes across both teams through technology solutions
Build headcount and resourcing plans that scale with the business
YOU MAY BE A GOOD FIT IF YOU
Have 15+ years across equity compensation and/or payroll operations, with significant experience leading senior functional leaders
Have operated equity and payroll functions to a public company standard.
Have deep familiarity with equity management platforms (such as Shareworks or E*TRADE) and Workday payroll, with experience owning cross-system architecture
Have built and scaled global operations across multiple jurisdictions
Are a strong people leader who develops senior functional experts
Thrive in ambiguous, fast-paced environments and default to building scalable processes over adding headcount
STRONG CANDIDATES MAY ALSO
Hold CEP (Certified Equity Professional) or CPP (Certified Payroll Professional) certification
Have experience with international mobility programs, worker secondments, and cross-border tax considerations
Have led complex system implementations or migrations at scale
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:
$570,000
—
$610,000 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.
Location: Berlin
adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world’s smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.
Next-Gen Machine Intelligence for Auctions & Real-Time Bidding
The Data Science Research team builds the foundational algorithms that govern real-time bidding, budget pacing, and allocation mechanics across our products. Operating as a horizontal deep-tech layer, the team leverages advanced AI—specifically reinforcement learning, objective-based optimization, and control theory—to deliver critical systems that perfectly harmonize advertiser ROI, platform health, and user relevance. These frameworks scale adjoe’s products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users.
The team operates at the intersection of high-load, low-latency engineering, auction mechanism design, and state-of-the-art machine learning. Acting as the company’s internal science bar raiser, they translate complex business constraints into mathematical objectives. The stack is optimized for high throughput: PyTorch for training deep learning and RL models, distributed architectures for large-scale Bayesian inference, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain ultra-low latency, real-time production environments evaluating tens of thousands of requests per second.
Your Mission & Who We Are Looking For:
- PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics (or an MSc with extensive industry research) and a track record of peer-reviewed publications in fields like Computational Advertising, Auction Theory, Mechanism Design, or Game Theory. You’ve spent 4+ years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading.
- You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting sophisticated auction mechanics, real-time bidding engines, and allocation algorithms serving millions of requests across a stack built on 770 million users.
- Deep expertise in Reinforcement Learning and Optimization. You have hands-on, deep theoretical and technical expertise in objective-based optimization, control theory, or RL applied specifically to bidding, pricing strategy, and budget pacing under extreme production constraints.
- Mastering high-dimensional data at scale. Large-scale Bayesian inference and handling sparse, high-dimensional advertising data are core to your work. You are strongly proficient in Python and related stacks, and know exactly how to architect scalable data pipelines to feed real-time optimization models.
- Raises the technical bar around them. You lead architectural debates, collaborate tightly with Product Managers and Engineers to map business goals to mathematical objective functions, mentor junior scientists, and drive the team’s research direction without needing a roadmap handed to you.
🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
Проектирование и разработка архитектуры модульного решения с нуля. Проектирование и реализация расчетных модулей: разработка математических моделей и алгоритмов обработки данных.
Проектирование и разработка архитектуры модульного решения с нуля. Проектирование и реализация расчетных модулей: разработка математических моделей и алгоритмов обработки данных.
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seniorWe believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
УдалённоseniorUnited States
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