Location: Remote - US
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 Principal, Product Learning & Development
About the job
Twilio is the world’s leading customer engagement platform empowering developers to build modern communication applications and experiences designed to be trusted, simple and smart. Twilio is looking for a Principal, Product Learning & Development to bring our
AI first PDLC vision
to life and
build the capability
our product organization needs to deliver it.
Reporting to the Director of Product Strategy & Operations, this role owns how our PMs get better at their craft, and how they learn to do that craft with AI. You'll build the competency model and curriculum that define "how we do product here," then go beyond curriculum by designing and shipping the internal tooling (prompt libraries, agents, PRD generators) that makes a PM measurably faster and sharper. You'll bring our AI first PDLC vision to life, partnering with product and engineering leaders to find where AI genuinely changes the work, and coaching the org through the change.
Responsibilities
We are looking for a leader who brings product, learning, and hands on AI expertise to help:
Design and deliver the PM Academy, covering onboarding and ongoing curriculum across PRD writing, discovery, prioritization, roadmapping, and stakeholder influence, each taught with AI in the workflow.
Design and help build and facilitate adoption of "PM in a box": ship internal AI tooling such as prompt libraries, agents, and PRD and research generators, as products with users, feedback loops, and adoption targets.
Bring the AI first PDLC vision to life and execute against it, partnering with Product leaders to map current workflows and identify the AI and automation opportunities worth pursuing.
Run cohort programs for new PMs and newly promoted PM managers, and design tailored programming for different parts of the organization rather than one generic track.
Curate the internal playbooks, templates, and documentation that carry "how we do product here," and keep them current as practice changes.
Facilitate workshops, office hours, and 1:1 coaching for PMs and PM leaders, building the credibility to coach senior people.
Drive AI adoption across the PM org through a champion network that surfaces use cases from inside each team.
Measure impact against baselines captured before rollout.
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:
Bachelor’s degree in Business, Computer Science, a related field or equivalent practical experience.
8+ years of experience across product management, consulting, program management, L&D or enablement
Experience leading programs or product operations for B2B SaaS, PaaS or equivalent
Outstanding written and verbal communication that drives executional impact at scale, distilling complex detail into an executive narrative, and explaining technical concepts to audiences without technical backgrounds.
Strong facilitation, and the ability to build trust and exchange ideas across organizational boundaries in service of a broader goal.
Excellent problem solving and organizational skills.
Ability to thrive in a fast paced, evolving, ambiguous environment, with a default to action in order to adapt quickly to changing priorities and requirements.
Desired:
Master’s in computer science or engineering or business administration
Hands on experience building AI agents, automated workflows, and internal tooling.
Experience leading change management in B2B SaaS
Location
This role will be remote and based in the USA.
Travel
We prioritize connection and opportunities to build relationships with our customers and each other. For this role, approximately 5-10% 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.
The estimated pay ranges for this role are as follows:
Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C. : $171,120 - $ 213,900
Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $181,200 - $226,500
Based in the San Francisco Bay area, California: $201,280 - $251,600
This role may be eligible to participate in Twilio’s equity plan and corporate bonus plan. All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
Applications for this role are intended to be accepted until March 1, 2027, but may change based on business needs.
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: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities.
This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
- Design synthetic task-generation methods that produce diverse, realistic and learnable tasks.
- Build systems and tooling to mutate, validate and improve synthetic tasks.
- Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail.
- Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities.
- Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.
WHAT WE'RE LOOKING FOR
- Proficiency in Python, Docker and Linux environments.
- Experience with synthetic data research methods — please be ready to describe this in your application.
- A strong understanding of what “good synthetic data” means, and of its limitations.
- Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap.
- Experience working on environments, evals or benchmarks.
- Clear written and spoken English, and comfort collaborating remotely across time zones.
- Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline.
- Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents.
- See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail.
- High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Synthetic Data to build the synthetic data pipeline. You will turn domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities.
This is a hands-on research engineering seat, not a commercial or privacy-systems role. You will design how synthetic tasks are created, mutated and validated, and you will analyse what those tasks actually teach models and agents.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
- Design synthetic task-generation methods that produce diverse, realistic and learnable tasks.
- Build systems and tooling to mutate, validate and improve synthetic tasks.
- Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail.
- Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities.
- Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.
WHAT WE'RE LOOKING FOR
- Proficiency in Python, Docker and Linux environments.
- Experience with synthetic data research methods — please be ready to describe this in your application.
- A strong understanding of what “good synthetic data” means, and of its limitations.
- Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap.
- Experience working on environments, evals or benchmarks.
- Clear written and spoken English, and comfort collaborating remotely across time zones.
- Strong candidates may also be detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data; able to reason from first principles about task design, scoring and failure modes; and comfortable in unstructured problem spaces or early-stage environments.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Build the synthetic data pipeline: You will design the tasks and systems that generate training data at scale, not only run experiments on someone else's pipeline.
- Research that has to work in production: Turn messy, domain-specific workflows into tasks that are realistic, measurable and usable for training agents.
- See what the data actually teaches: Analyse model and agent performance, and improve the tasks when they fail.
- High ownership, unstructured problems: You will build without a fully prescribed roadmap, from method design through tooling and metrics.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Singapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents.
This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case.
- Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods.
- Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation.
- Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts.
- Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields.
- Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards.
WHAT WE'RE LOOKING FOR
- Strong proficiency in Python, and experience building reliable production data or machine-learning systems.
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content.
- Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility.
- An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate.
- High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes.
- Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap.
- Clear written and spoken English, and comfort collaborating across teams and time zones.
- Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets.
- Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need.
- From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation.
- Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Timisoara, Romania
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Are you eager to elevate your HR career within an innovative global tech company where your contributions have a tangible impact? Welcome aboard! We're in search of dynamic, diligent HR enthusiasts eager to help us take the Wolt employee experience to the next level. If you're driven by the challenge of navigating the complexities of HR and aspire to make a meaningful difference in team members’ lives, your search ends here!
The People Team at Wolt consists of about 200 HR, Talent, Tech, Payroll and Talent Acquisition professionals located in Helsinki, Budapest, Copenhagen, Berlin, Tel-Aviv, Athens, Tbilisi, and more. We’re a global People function, well-respected by the people and teams that we support and partner with. We’re looking for our next HR Operations Specialist, based in Timișoara, Romania. You’ll provide reliable, responsive HR support across our Romanian entities, covering employee administration, payroll coordination, employee relations, and local compliance.
What you’ll be doing
You’ll manage assigned HR processes and cases, working closely with internal partners and external providers. You’ll also help maintain compliant, accurate records and improve the way we support our people.
Day-to-day in this role you’ll:
Respond to Romania-specific and escalated HR enquiries, guiding employees and managers on employment terms, policies, leave, benefits and payroll.
Coordinate onboarding and approved exits, prepare employment documents and maintain personnel records and updates across Workday, payroll and REGES-ONLINE.
Validate payroll inputs, investigate discrepancies and administer leave and benefits with payroll teams and providers.
Manage assigned employee relations cases, including grievances and disciplinary matters, and support performance processes in collaboration with People Partners and Legal.
Maintain accurate HR data and reports, coordinate service providers and help improve local HR processes and guidance.
Our humble expectations
You’ll bring practical HR experience and sound judgement to support employees and managers across Romania.
At least 3 years of experience in HR operations, personnel administration or an HR generalist role, including practical experience with Romanian employment processes.
Strong knowledge of Romanian employment legislation, payroll processes and statutory reporting requirements.
Confidence using HR systems and Excel, including working with data and preparing reports.
Strong organisation, attention to detail and the ability to prioritise, solve problems and handle confidential information with discretion.
Excellent Romanian and English communication skills, with the ability to work with employees, managers and other stakeholders.
What we offer
Our benefits in Romania include:
Meal vouchers for eligible working days.
A private medical subscription with Regina Maria.
Group life insurance to provide financial support to your beneficiaries.
A wellbeing benefit to support an active and healthy lifestyle.
Access to Bookster for books and learning resources.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
.
Location: United States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico
Workplace: Remote
Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones)
Start Date: ASAP
Languages: English
Team: Engineering
ABOUT THE ROLE
Our client is a fast-growing AI company building reliable, fair and open infrastructure for AI training data. Their marketplace helps the people who create data get value for it, and gives AI labs trustworthy data to train on. It is already used by startups, Fortune 500 companies and frontier labs, and the company is backed by leading venture investors, including Y Combinator. They are scaling quickly to meet strong demand.
We are looking for a Research Engineer, Privacy and Anonymization to build the systems that make sensitive, real-world data safe and still useful for AI training. You will develop methods to detect and remove personally identifiable information, secrets and other sensitive content from raw data before it enters processing and synthetic data pipelines — protecting privacy without destroying the structure and signal that make the data valuable for training agents.
This is a privacy and data-protection engineering seat, not a synthetic-task design role. You will own the pipeline that stands in front of downstream processing, training, evaluation and synthetic generation.
This is a full-time role, starting ASAP. Offices are in San Francisco and Singapore; remote candidates are welcome if their working hours can overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours. The exact daily schedule will be agreed during hiring.
WHAT YOU'LL DO
- Build systems to detect PII, quasi-identifiers, credentials and other sensitive information, and design transformations based on the data type and the downstream use case.
- Develop and benchmark detection approaches that combine rules, statistical models, classifiers and LLM-based methods.
- Build production pipelines that anonymize raw data before it enters downstream processing, training, evaluation or synthetic data generation.
- Create evaluation frameworks that measure privacy risk and retained data utility, including recall-weighted metrics, leakage tests and adversarial re-identification attempts.
- Design systems that stay robust to new data sources, schema drift, unusual formats and sensitive information embedded in unexpected fields.
- Work with engineering, research, operations and customers to translate privacy requirements into practical technical policies and safeguards.
WHAT WE'RE LOOKING FOR
- Strong proficiency in Python, and experience building reliable production data or machine-learning systems.
- Experience with information extraction, named-entity recognition, classification, or related methods for detecting rare or sensitive content.
- Strong experimental instincts, and the ability to compare approaches across recall, precision, latency, cost and downstream data utility.
- An understanding of the difference between redaction, masking, pseudonymization, anonymization and synthetic data — and when each is appropriate.
- High attention to detail, and the ability to reason about subtle leakage paths, edge cases and adversarial failure modes.
- Experience building data-processing pipelines end to end, including where there was no fully prescribed roadmap.
- Clear written and spoken English, and comfort collaborating across teams and time zones.
- Strong candidates may also have hands-on experience with privacy-enhancing technologies (such as differential privacy, k-anonymity, secure aggregation or format-preserving encryption); have worked with sensitive data in healthcare, finance or security; have built low-latency or high-throughput ML inference or data-processing systems; or have taken work from early research through to production.
- Technical aptitude and learning potential matter more than years of experience. Motivated candidates are encouraged to apply even if they don't meet every point above.
WHY THIS ROLE MATTERS FOR YOU
- Make real-world data safe to train on: You will build the systems that let sensitive data be used for AI training without exposing people or secrets.
- Privacy without wrecking utility: The job is not only to redact, but to keep the structure and signal that downstream training and synthetic pipelines need.
- From detection to production: You will own the full path: detection methods, transformations, evaluation, and the pipeline that sits in front of training and generation.
- Hard, high-stakes edge cases: Work on leakage paths, schema drift and adversarial failure modes, not only clean benchmark datasets.
- San Francisco, Singapore, or remote: Work on-site in San Francisco or Singapore, or remotely, with hours that overlap about 70–80% with either US Pacific or Singapore business hours. The exact daily schedule will be agreed during hiring.
Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on 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. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.
Location: Remote (Canada)
Workplace: Remote
BUILD SOMETHING PEOPLE LOVE
Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada.
We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers.
Client Experience Operations is responsible for how Wealthsimple shows up for its clients every single day. We handle the real interactions, email, live chat, and phone, and the moments that decide whether someone trusts us with their financial life. Our north star is simple: fast, frictionless, reliable support that delights the people we serve.
Wealthsimple is growing quickly, and more Canadians start using our platform every day. As we grow, we're working just as hard to make support less necessary. We fix the root causes of common problems and build better self-serve tools, including AI, so clients can sort out simple things on their own. That frees our team to focus on the conversations where a person makes the biggest difference.
- The Timeline: This is a 6-month contract starting January 4th, 2027, with strong possibilities for extension and conversion to permanent full-time based on business needs and your performance!
- The Hours: Full-time, 8-hour shifts (including weekends and holidays) rotating between 8:00 AM and 8:30 PM.
- The Location: Hybrid. You must reside in the Toronto/GTA area and have the legal right to work in Canada.
- The Nesting Period: After your remote training (Weeks 1 and 2), to set you up for absolute success, you will spend up to 6 full weeks in-office (Mon-Fri) at our 80 Spadina Avenue headquarters for training. After that, you transition to our standard hybrid/remote model.
ABOUT THE ROLE
When something isn't working the way a client expected, you're the person who makes it right. You'll help clients over live chat, live calls, and email, taking on questions and problems that need real thought, not a script. Some days that means untangling something complicated; other days it means calming someone down and walking them through it step by step. It's demanding, structured work, and it takes good judgement, emotional intelligence, and the ownership to see each case through. Done well, it's one of the most important jobs at Wealthsimple.
WHAT YOU'LL DO
- Spend your workday helping clients over live chat, live call, and email, handling a steady flow of conversations from start to finish.
- Help with the things clients care about most, from quick questions to complex issues with their investments or banking.
- Listen closely, put yourself in the client's shoes, and communicate with the clarity, warmth, and care that clients should expect every time they talk to Wealthsimple.
- Own every case you take on: Dig into what's really going wrong, track down the answer even when it's a situation you haven't seen before, and follow up so nothing falls through the cracks.
- Work to a set schedule and meet clear targets for quality, productivity, and schedule adherence. These are a core part of how success is measured in this role.
- Build deep knowledge of Wealthsimple's products and the financial concepts behind them, and keep learning as they change.
- Use coaching and quality feedback to keep sharpening your craft.
SKILLS YOU BRING
- Experience serving customers or clients, in tech, hospitality, retail, financial services, or another field.
- Sound judgement and the ability to make good calls quickly, even when the answer isn't obvious.
- Strong emotional intelligence, including reading people well and staying composed when they're upset.
- Clear, warm written and spoken communication in English.
- The resourcefulness and determination to find answers on your own.
- Fast, accurate typing and the agility to move quickly between several tools and systems without losing focus on the client.
- Comfort working to a set schedule and measurable targets.
NICE TO HAVE
- 1–2 years of experience in financial services
- Fluency in both English and French
WHO YOU ARE
You take ownership. When a client brings you a problem, it becomes your problem until it's solved. You don't pass it along and hope for the best. You're curious about how things work, and resourceful when the answer isn't right in front of you. You care about the people you're helping, and it shows: you can tell when someone is anxious about their money, and you know how to steady the conversation. And you have the determination to do this well day after day, even when the queue is busy and the problems are tough.
You don't need a background in finance. People coming from tech, hospitality, or retail often bring exactly the skills this job needs. What matters most is curiosity, resourcefulness, a habit of solving problems yourself, and real care for clients.
HOW YOU'LL GET STARTED
You'll learn what you need to know once you're here. Our onboarding is designed so that anyone with the right skills can succeed, whatever background they're coming from.
You'll start with an education in Wealthsimple: our products, our clients, and the principles and standards behind how we serve them. You'll learn a little about everything we do. Then you'll put that learning into practice, helping real clients in a live, supported setting while you build your confidence. Once you're ready, you'll move into a specific area of our support team and specialize, going deeper and building mastery in one part of the business.
Growth beyond that is possible, and some people go on to other roles at Wealthsimple. It isn't automatic, though. It's earned by doing this job well and owning your own development.
YOUR BENEFITS AT WEALTHSIMPLE (YES, EVEN ON A CONTRACT!):
- Health Spending Account: $3,000/year. A flexible, tax-free account funded by Wealthsimple to cover your medical, dental, vision care expenses, and more.
- Group Savings Plan: Wealthsimple makes an automatic 3% contribution and matches your own contributions up to 1.5% (for a total company contribution of up to 4.5%).
- Paid Time Off (PTO): Up to 20 vacation days per year (depending on contract duration) + 1 paid sick day per month.
- Work From Anywhere (WFA): You receive an automatic pro-rated allowance of $75/month to cover your home office expenses.
- IT Equipment: We provide you a MacBook for work. Plus, as a gift, you will receive a monitor, keyboard, mouse, adapter, and headset so you can work comfortably.
WHY WEALTHSIMPLE?
🌸 Top-tier health benefits and life insurance
📈 Long-term group savings with employer match, through Wealthsimple for Business
🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year*
✈️ 90 days away: work outside Canada for up to 90 days per year*
👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS
🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work.
*Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles.
ICYMI
Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building.
Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.
Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs.
AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.
Location: Intellias
Meet your recruiter
Jeison Arturo Rios Castano
jeison.rioscastano@intellias.com
https://www.linkedin.com...
Vacancy details
Software Engineering
Salesforce Engineer
Senior
Argentina, Chile, Colombia, Mexico, Peru, Uruguay
Remote
APPLY NOW
REFER A FRIEND
The Senior Software Engineer contributes to business processes by leveraging technological solutions. You will join a brand new team that will focus on Integration with ServiceNow, new functionality for funding sources and other features.
What project we have for you
Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 15,100 coworkers. For the trailing twelve months ended June 30, 2023, client generated Net sales of approximately $21,4 billion.
What you will do
Execute all phases of the software development life cycle.
Assess operational needs, costs, and resource requirements for assigned projects, collaborating with project managers as needed.
Work in agile team alongside the Product Owner, applying Salesforce/CPQ best practices and design methodologies, such as use case analysis, object modeling, and UI design, to ensure alignment with business requirements and design objectives.
Identify and address issues requiring attention, resolving them with a clear understanding of the underlying business problem.
Make informed technical decisions aligned with the product roadmap, architecture standards, and management directives.
Deliver projects and tasks in a timely manner, honoring commitments to stakeholders and management. Provide regular project/task status updates during daily scrums to the agile team, product owners, and product managers.
What you need for this
3 years of application development experience
2+ years of experience with the Salesforce ecosystem and lightning framework
Must have the knowledge and practical application of Visualforce, APEX; Force.com APIs, Web Services, and Experience builder
Must have knowledge and practical application of Salesforce CPQ, both out of the box and customizations
Experience with source control systems like Azure DevOps, GIT
Experience with the creation and maintenance of Salesforce / CPQ profiles, permission sets, and objects
Experience in Salesforce CPQ integration with external systems and managed packages
Deliver solutions in Agile methodology in CI/CD environment
Demonstrated ability to build rapport and maintain productive working relationships cross-departmentally and cross-functionally
Good written and verbal communication skills
Strong organizational, planning, and creative problem-solving skills with critical attention to detail
Demonstrated success in facilitation and solutions implementation
Proven track record of leading application development projects
History of balancing competing priorities with the ability to adapt to the changing needs of the business while meeting deadlines
Excellent customer-facing skills that include conducting compelling technical briefings & demonstrations
Ability to perform effective code reviews and recommend automated review tools for the team
What it’s like to work at Intellias
At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth.
We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law.
We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
Skills
CPQ
Salesforce
Location: Remote Ireland; Remote, Austria; Remote, France; Remote, Germany; Remote, Netherlands; Remote, Spain; Remote, United Kingdom
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
GitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, artificial intelligence (AI) adoption, and direct contributions to GitLab’s product. This isn't a traditional field engineering, solutions architecture, or professional services role. As a Staff Forward Deployed Engineer, you'll work closely with customers while maintaining the technical standards and contribution discipline of a Staff-level product engineer.
You'll work where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. You'll partner directly with strategic customers and teams across Product, Engineering, Support, Site Reliability Engineering (SRE), Solutions Architecture (SA), Customer Success Architecture (CSA), Customer Success Management (CSM), and Professional Services. You'll diagnose and resolve high-impact adoption blockers, contribute production-quality fixes and features, and turn what you learn into repeatable patterns for GitLab and its customers.
Why this role exists
Strategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single team to own from start to finish. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, continuous integration and continuous delivery (CI/CD) complexity, application programming interface (API) automation, security requirements, or operational instability.
Forward Deployed Engineering provides technical stewardship in these moments. The team doesn't simply observe, report, or escalate. You'll engage directly, diagnose the underlying technical problem, collaborate with the right teams, contribute code or technical solutions where appropriate, and transition the outcome into normal ownership once the customer is stable and the learning can be reused.
What you’ll do
Product contribution
Contribute production-quality code to GitLab’s product and adjacent systems.
Develop bug fixes, features, integrations, tooling, and performance improvements when strategic customer outcomes require direct engineering work.
Work within GitLab’s product and engineering processes, including issue discovery, merge request creation, testing, review, documentation, and maintainability.
Partner with Product and Engineering so customer-driven solutions support long-term product direction rather than becoming one-off customizations.
Turn blockers discovered in the field into durable product improvements, reference architectures, documentation, and repeatable implementation patterns.
Strategic technical stewardship
Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk.
Diagnose complex problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments.
Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, Professional Services, and customer technical teams to drive resolution from discovery through handoff.
Provide recommendations grounded in data, traces, and systems analysis to improve GitLab usage, workflows, automation, and architecture.
Create durable outcomes without establishing permanent dependency on Forward Deployed Engineering.
AI adoption and agentic software development lifecycle
Drive governed, measurable, and production-oriented adoption of GitLab Duo Agent Platform with strategic customers.
Identify and resolve AI adoption blockers involving governance, usage controls, auditability, security, compliance, operating models, workflow design, and integrations.
Develop customer-safe adoption patterns for the agentic software development lifecycle (SDLC), AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery.
Partner with Product, Engineering, Field, and Customer Success teams to turn AI adoption learning into reusable guidance and product improvements.
Thought leadership
Create technical narratives grounded in customer experience and product reality that can help shape the industry’s approach.
Contribute to Well-Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks.
Guide ideas through discovery, formulation, validation, amplification, and adoption across GitLab.
Partner with SA, CSA, Product, Engineering, Marketing, Product Marketing Management, CSM, Support, and executive stakeholders to make technical thought leadership a shared company capability.
What you’ll bring
Staff-level experience building, operating, or improving complex production software systems.
Experience contributing to large, mature product codebases with high standards for testing, maintainability, performance, and security.
Strong Ruby on Rails or Go experience and the ability to contribute directly to GitLab’s product and adjacent systems.
Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt and workflow design, or AI adoption in enterprise environments.
Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns.
Deep knowledge of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery.
Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations.
The ability to coordinate across product, engineering, field, and customer teams without formal authority.
Strong written communication and sound judgment, including the ability to create technical narratives and distinguish reusable product work from customer-specific customization.
Strongly preferred qualifications
Direct experience with GitLab as a platform, including GitLab.com, GitLab Dedicated, or GitLab Self-Managed.
Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, or observability tools.
Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or GitLab Runner behavior.
Experience creating technical thought-leadership materials, such as whitepapers, technical talks, architecture frameworks, requests for comments, public technical writing, or internal strategy documents.
A background in performance engineering, site reliability engineering, platform engineering, infrastructure engineering, or distributed systems.
Experience working in open source or highly asynchronous engineering environments.
Technologies and domains
Directly relevant technologies and domains include:
Ruby on Rails
Go
AI-assisted development and the agentic SDLC
PostgreSQL
Redis and Sidekiq
Git internals
GitLab CI/CD and Runner architecture
Kubernetes and containers
Terraform
Linux, networking, observability, and performance analysis
Vue and TypeScript
APIs and automation
DevSecOps governance, security, and compliance
What this role is not
This role isn't:
A generic field engineering role.
A proof-of-concept factory.
A replacement for Solutions Architecture, Customer Success Architecture, Customer Success Management, Professional Services, Support, SRE, Product, or Engineering.
A customer-specific customization function.
Unbilled Professional Services.
A requirements-gathering role that only escalates to Product.
An AI evangelism role disconnected from product execution.
Success measures
Success in this role may include:
Stabilizing strategic customer adoption or retention risks.
Fixing product bugs or contributing features.
Removing AI adoption blockers for strategic accounts.
Creating reusable implementation patterns and transitioning them to long-term owners.
Producing or enabling Well-Architected Frameworks, whitepapers, webinars, or technical narratives.
Resolving cross-functional customer challenges without creating permanent dependency on Forward Deployed Engineering.
Equipping Product, Engineering, Support, CSA, CSM, Professional Services, and SA teams with better guidance based on learning from the field.
Increasing adoption and effective use of GitLab capabilities, especially GitLab Duo and GitLab Duo Agent Platform, in targeted accounts.
About the team
The Forward Deployed Engineering team connects strategic customer needs with GitLab product execution. The team works directly with customers and across GitLab to resolve complex adoption challenges, contribute durable product improvements, and create reusable technical guidance. Its goal is to stabilize urgent situations, improve the product, and transition ongoing ownership to the appropriate team rather than create a permanent dependency.
Ideal candidate profile
You're a Staff-level product or platform engineer who can operate in the field without becoming field-only. You're comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, outlining a whitepaper, and coordinating across teams to achieve a strategic customer outcome.
You're not simply a strong communicator with technical awareness. You're a credible engineer with the judgment, presence, and narrative ability to turn customer reality into product contributions, adoption guidance, and company-level thought leadership.
We welcome candidates with different backgrounds and levels of experience. Many successful candidates don't meet every qualification. If you're excited about this role, we encourage you to apply and let our recruiting team 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: Netherlands; Norway; Finland; Denmark; Belgium
Workplace: Remote
The AI orchestration of your wildest imagination.
n8n is the open workflow orchestration platform built for the new era of AI. We give technical teams the freedom of code with the speed of no-code, so they can automate faster, smarter, and without limits. Backed by a fiercely inventive community and 500+ builder-approved integrations, we’re changing the way people bring systems together and scale ideas for impact.
Since our founding in 2019, we’ve grown into a diverse team of over 260 - working across Europe and the US, connected by a shared builder spirit and with our centre of gravity in Berlin. Along the way, we’ve:
- Cultivated a community of more than 650,000 active developers and builders
- Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
- Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
That’s the company we’ve built. Now we’d love to see what you can build. If you’re applying, try n8n out - whether you’re technical or not - and share a screenshot of your first workflow with us. The easiest place to start is here: app.n8n.cloud/register http://app.n8n.cloud/register.
We’re in a defining moment of an incredible journey. Come and build with us.
🎯 Your main goal will be to land and expand n8n inside the world’s largest organisations, closing the biggest deals in our portfolio.
As a Large Enterprise Account Executive covering Nordics & Benelux, you will own a territory of global-scale accounts and lead long, complex deals from first conversation to multi-year commitment:
BUILD STRATEGIC ACCOUNT PLANS
- Build and execute account strategies for organisations with 5,001 or more employees
- Open doors with outbound campaigns aimed at CTOs, CIOs and engineering and platform leaders.
- Turn community adoption inside large companies into sponsored, funded opportunities.
LEAD COMPLEX, MULTI-THREADED DEALS
- Run deep discovery, quantify business impact and build an executive-level business case.
- Map and align decision makers across engineering, IT, security, legal and procurement.
- Partner with Solutions Engineers, Partnerships and Customer Success to prove value and de-risk adoption.
CLOSE AND EXPAND AT SCALE
- Own the cycle through security, legal and procurement, typically over three to six months or more.
- Negotiate six-figure deals with confidence and keep clear commercial control.
- Plan expansion across business units and use cases, and share what you learn with Product and leadership.
REQUIREMENTS
MUST-HAVES
- 🏢 Large Enterprise sales: You have at least five years of enterprise SaaS sales experience, selling into organisations with 5,001 or more employees, and you can explain customer size, deal complexity and cycle length.
- 💰 Six-figure deals: You have closed multiple deals of £100k+ ACV in multi-stakeholder cycles of three to six months or more.
- 🧑💻 Technical buyers and executives: You have sold to developers, engineers, CTOs and CIOs, and you can carry a technical conversation and an executive one in the same deal.
- 🎯 New-logo hunter: You generate your own pipeline through outbound and win new customers rather than relying on expansion or inbound.
- 📈 Track record: You have consistently hit or exceeded quota over the past two to three years.
- 🧭 Structured selling: You use a methodology such as MEDDPICC and navigate technical evaluations, procurement, legal and security reviews.
- 📍 Location: You are based in the Nordics / Benelux. This role involves regular travel to customers in the region.
NICE-TO-HAVES
- 🛠️ Technical product background: You have sold developer tools, cloud infrastructure, data, AI or automation platforms.
- 🤝 Partner-led deals: You have worked deals with system integrators or cloud partners.
- 🚀 Open source or PLG exposure: You understand how community adoption turns into enterprise revenue.
Why join us?
You will close the largest deals in our portfolio and shape how n8n sells to the world’s biggest organisations, with a product technical teams already use and love. You will work closely with Solutions Engineers, Partnerships, Customer Success and Product, and leadership will listen to what you learn in the field. n8n is growing at an exceptional pace, backed by a vibrant community and a remote-first culture built on autonomy, experimentation and high talent density. Apply now and help us bring AI-powered automation to the global enterprise.
n8n is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.
We can sponsor visas to Germany; for any other country, you need to have existing right to work.
Our company language is English.
You care about diversity and inclusion? We do too! Check out our Diversity, Inclusion and Belonging initiatives at n8n https://www.notion.so/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35?pvs=21 (https://www.notion.so/n8n/Diversity-inclusion-and-belonging-n8n-c1bec2fff536422d868b1a438d990e35).
Location disclaimer: If you see multiple job postings for the same role, it is most likely because we're hiring remotely for this role and posting in different locations to make sure every potential candidate can see the role. Please apply to the location you're the most likely to work from in the future.
BENEFITS
- Competitive compensation 💸 – We offer fair and attractive pay.
- Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity.
- Work/life balance 🏖️ – We work hard but ensure you have time to recharge:
- Europe: 30 days of vacation, plus public holidays wherever you are.
- US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
- Health & wellness 🩺 –
- Europe: We provide benefits according to local country norms.*
- US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage.
- Future planning 💰 –
- Europe: We provide pension contributions according to local country norms.*
- US: 401(k) retirement plan with a 4% employer match.
- Financial security 🛡️ –
- Europe: We provide benefits according to local country norms.*
- US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones.
- Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills.
- A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it!
- Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description.
- Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about.
- Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.
*Country and/or State specific details provided in your employment agreement.
Location: South Metro Animal Emergency Care - Apple Valley, Minnesota
Overnight Lead Licensed Veterinary Technician (LVT) – Emergency & Critical Care
South Metro Animal Emergency Care | Apple Valley, MN
💰 COMPETITIVE PAY + BENEFITS
$34–$38/hour
, based on experience
+$6/hour overnight differential
(8 PM–8 AM)
+$2/hour weekend differential
$2,500 sign-on bonus
PTO, medical, dental, vision, 401(k), life and AD&D insurance, EAP, supplemental insurance options, and eligibility for performance-based bonuses
🩺 READY TO LEAD? READY TO MAKE AN IMPACT?
This is more than an overnight technician position. It's an opportunity to lead, mentor, inspire, and help shape the future of a 24/7 Emergency Veterinary team!
South Metro Animal Emergency Care (SMAEC) is a growing, 24/7, AAHA-accredited emergency hospital seeking an experienced, motivated, and confident
Licensed Veterinary Technician (LVT)
to step into a leadership role within our Emergency and Critical Care department.
We're looking for someone who isn't afraid to take charge, enjoys developing others, thrives in a fast-paced environment, and understands what it takes to build a strong, cohesive overnight team.
Our technicians are valued medical professionals with a real voice in patient care, treatment decisions, and hospital flow. You'll work directly with DVMs in a collaborative, technician-forward environment with strong staffing support—typically
2 credentialed technicians and 2 veterinary assistants per doctor.
WHAT MAKES THIS OPPORTUNITY EXCITING?
Lead with purpose:
Take ownership of overnight clinical operations and serve as a key leader for the team.
Build a great team:
Mentor, coach, develop, and empower technicians and assistants to reach their full potential.
Make a clinical impact:
Work alongside emergency veterinarians to provide exceptional care for critical and emergency patients.
Partner with leadership:
Work closely with the Hospital Leadership Team and Medical Director to align clinical goals, improve hospital operations, strengthen team performance, and drive continued growth within the Emergency Department.
Have a voice:
Collaborate with hospital leadership on department initiatives, workflow improvements, team development, and clinical excellence.
Drive accountability:
Help establish consistency, communication, teamwork, and high clinical standards across overnight operations.
WHAT YOU'LL DO DAY TO DAY
Our cases include toxins, foreign bodies, urinary obstructions, respiratory emergencies, trauma, surgical emergencies, and hospitalized or critical patients.
Your responsibilities will include:
Leading and supporting overnight clinical operations while maintaining high standards of patient care.
Performing initial triage and collaborating directly with DVMs to prioritize patient needs.
Reviewing treatment plans with clients and answering questions with empathy and confidence.
Placing IV catheters, NG tubes, central lines, and PICC lines.
Applying splints and bandages.
Running and monitoring anesthesia for surgical procedures.
Performing and overseeing treatments for hospitalized patients.
Monitoring and advocating for patients throughout their stay.
Mentoring teammates and supporting a collaborative, accountable team.
Partnering with hospital leadership to improve workflows, communication, and overall department performance.
WHO ARE WE LOOKING FOR?
Someone who:
Holds a current Licensed Veterinary Technician (LVT) credential.
Has a strong background in veterinary emergency and critical care.
Is confident in their technical skills and clinical decision-making.
Is a natural leader who leads by example.
Has a passion for mentoring and developing others.
Can confidently navigate challenging situations and make sound decisions.
Understands that great leadership means supporting, motivating, and holding a team accountable.
Values collaboration and wants to be an active partner in hospital leadership.
Is ready to take ownership and make a difference.
❤️ WHY SOUTH METRO?
Technician-forward culture that values your knowledge, experience, and clinical skills.
Strong technician-to-doctor ratios and meaningful autonomy.
Hands-on emergency medicine experience and opportunities to expand your skills.
Supportive leadership and teammates who help one another.
A collaborative environment where your voice matters.
8-, 10-, or 12-hour shifts, with swing and overnight options.
🐾 OUR CORE VALUES
Respect • Wow Service • Learning • Fun • Communication • Doing the Right Thing
We're not just looking for someone to fill an overnight schedule. We're looking for a leader who wants to build something great.
If you're ready to take the next step in your veterinary career, influence the direction of a team, partner with hospital leadership, and make a lasting impact in emergency medicine, we want to meet you!
Step into leadership. Build your team. Shape the future.
READY TO JOIN OUR TEAM?
For more information about our hospital, visit
smaec.com
.
To apply, contact Christine Strassburg at
christine.strassburg@lakefieldvet.com
or apply at
careers.lakefieldvet.com
.
#LI-CE
Compensation Range
$34
—
$38 USD
Location: 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
As a Staff Backend Engineer in GitLab's Performance Enablement group, you'll define and build the self-serve platform that lets GitLab engineering teams own their performance. You'll give internal teams the tooling and guidance to run performance tests, analyze results, track trends, and meet their own performance requirements throughout the development lifecycle. We're a platform, not a consulting service: we build capabilities that teams use independently to deliver a reliable, performant GitLab to customers. In this hands-on technical leadership role, you'll work with the Engineering Manager to shape a multi-quarter vision and roadmap, bringing your performance engineering expertise to influence teams across research and development (R&D).
Some examples of our projects in
Performance Enablement
:
Building reusable component-level testing, load testing, performance analysis, trend visibility, and artificial intelligence (AI)-assisted engineering skills
Enabling teams to test performance throughout the development lifecycle, from local development and continuous integration (CI) workflows through pre-release validation, including modular feature teams' own workflows
What you’ll do
Define the team's technical vision and multi-quarter roadmap with the Engineering Manager, identify opportunities for impact across R&D, and advocate for technical priorities with stakeholders.
Design and build reusable platform capabilities for performance testing, analysis, reporting, and trend visibility, solving complex technical problems and shipping large capabilities with minimal guidance.
Turn lessons from early team engagements into reusable capabilities, documentation, and onboarding, measured by each new team needing less hands-on support than the last until teams can adopt the platform and manage their performance independently.
Coordinate with peer teams across Developer Experience, Infrastructure Platforms, and product groups to align priorities and timing.
Lead AI-first development practices in how we build and what we ship, including AI skills and agent-assisted performance workflows.
Mentor engineers in performance engineering, platform design, and technical decision-making.
Serve as a performance expert for other teams and provide technical guidance on initiatives spanning multiple groups.
Take part in on-call or operational support where your team's ownership model requires it.
What you’ll bring
Staff-level backend or platform engineering experience, including setting technical direction across a team and the teams around it.
A track record of building and operating performance testing and analysis systems, with an understanding of where bottlenecks appear and how to find them.
Experience leading or anchoring a performance enablement or platform function and achieving measurable adoption of internal tooling by influencing engineers and leaders who don't report to you.
Experience defining and delivering a multi-quarter technical strategy or roadmap with engineering leadership.
An AI-first development mindset demonstrated across the software lifecycle, including shaping how a team uses AI.
Hands-on experience with load and performance testing tools such as k6 or equivalent, Kubernetes, and Amazon Web Services, Google Cloud Platform, or similar cloud infrastructure.
Clear written, asynchronous communication, including explaining performance trade-offs to engineers and leadership.
About the team
Performance Enablement
is part of Platform Enablement within Developer Experience and Infrastructure Platforms. We work asynchronously and collaborate broadly across R&D, coordinating with peer platform and product groups. Documentation, onboarding, and feedback loops help us turn early team engagements into capabilities that scale beyond individual teams.
Poland base salary range:
zł 328,000 - zł 492,000
The base salary range for this role’s listed level is currently for residents of the EU, applicable in the specified country or countries only. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. 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 and having regard to any applicable collective agreements. The base salary range does not include bonuses, equity, or benefits.
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
.
seniorUnited States - Remote
seniorUnited States - Remote
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоSingapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating remotely across time zones
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating remotely across time zones
seniorUnited States - Remote
УдалённоSingapore; Philippines; Albania; Ukraine; Indonesia; Australia; Serbia; Thailand; Khazakstan; Armenia; Türkiye; Romania; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating across teams and time zones
United States - Remote
Timisoara, Romania
УдалённоUnited States; Colombia; Sacramento; Los Angeles; San Francisco; Canada; Costa Rica; Mexico; Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones); Clear written and spoken English, and comfort collaborating across teams and time zones
УдалённоRemote (Canada); You must reside in the Toronto/GTA area and have the legal right to work in Canada
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