Workplace: none
We are looking for a modern, highly proactive
enterprise freight sales leader
to build our direct-shipper contract pipeline from the ground up.
This is not a traditional freight sales role focused on maintaining an existing book of business. Your mission is to
get Spotter's 600-truck fleet in front of high-volume enterprise shippers and into their RFPs, mini-bids, pilots, and contract freight programs.
You will identify high-value shippers, reach transportation procurement and logistics decision-makers, navigate carrier onboarding and qualification processes, and turn those relationships into real freight opportunities.
Initial Market Focus
This role will initially focus on
local work around Joliet, IL and long-haul freight originating from the Joliet area.
What You'll Own
Identify and map enterprise shippers with meaningful freight volume in the Joliet market.
Build relationships with transportation procurement, logistics, and supply chain decision-makers.
Identify upcoming
RFPs, mini-bids, pilots, and contract truckload opportunities
.
Get Spotter through shipper and enterprise-broker
carrier onboarding and qualification processes
.
Position our 600-truck asset base for high-volume freight opportunities.
Build a qualified pipeline with clear next steps, stakeholders, timelines, and freight volume.
Work with operations and pricing to turn opportunities into actionable lanes and awards.
Develop direct-shipper relationships that can grow into recurring contract freight.
30-Day Trial Targets
This position begins with a
30-day trial period
with clear, measurable expectations.
By Day 30:
40
Joliet-area enterprise shippers fully mapped
10
conversations with transportation procurement / logistics decision-makers
6
qualified direct-shipper opportunities with a concrete next step
3
new vendor onboarding / provider qualification processes initiated
3
shippers agreeing to include Spotter in an upcoming RFP, mini-bid, or pilot
2
live direct-shipper RFP / mini-bid / pilot opportunities received
200+ lanes
of actual Joliet-origin/local freight opportunities Spotter can price
1
pilot or lane award
$10M+
annualized direct-shipper freight represented by accessible Joliet-area opportunities
These are
outcome-based targets
, not activity quotas. Success in this role is measured by creating real enterprise freight opportunities and moving them toward bids, pilots, and awarded lanes.
What We're Looking For
Experience in
enterprise freight sales, transportation procurement, contract truckload, brokerage, 3PL, or strategic accounts
Strong understanding of how enterprise transportation procurement works
Proven ability to reach senior logistics and procurement decision-makers
Experience with shipper RFPs, mini-bids, carrier onboarding, or contract freight
Ability to build a pipeline from scratch rather than rely on an inherited book of business
Strong commercial judgment and ability to qualify opportunities based on actual freight volume and fit
Comfortable working with data, transportation technology, CRM systems, and digital freight platforms
Highly proactive, self-directed, and comfortable being measured by outcomes
Why Spotter
Spotter operates a
600-truck asset base
, giving you the capacity and operational foundation to pursue meaningful enterprise freight opportunities.
Your role is to connect that capacity with the right shippers, procurement teams, and contract freight programs — and turn those opportunities into
lanes, pilots, and long-term strategic accounts.
Location: United States
Description
MEMX is searching for a Network Engineer to support the design, implementation and maintenance of its low latency trading infrastructure for second shift 12 AM - 9 AM ET.
Shift time for this role will be: 12 AM - 9 AM ET
MEMX currently has a U.S. presence in these states: California, Colorado, Connecticut, Delaware, Florida, Georgia, Illinois, Kansas, Maine, Maryland, Michigan, Nevada, New Jersey, New York, North Carolina, Pennsylvania, South Carolina, & Utah.
*If you live outside of the above states, please list in your application and our team will evaluate.
What You’ll Do
Work to design, implement and support the low latency exchange network environment
Configure the enterprise and production network devices with Ansible and Python as required
Respond to network alerts and error logs
Respond to network incidents, remediate, and perform RCA
Perform new customer connection turn-ups
Work on customer tickets such as add/mod IP prefixes, troubleshoot connectivity
Perform new product analysis and validation
Coordinate with the Security and business teams to help engineer/implement secure end user solutions
Work with Data Center and Circuit providers to continually move the exchange infrastructure forward on more cost efficient and performant options
Requirements
5+ years of hands-on experience with low latency, highly available distributed systems and the network architectures needed to run them
Understanding of layer2 and layer3 network protocols e.g. IGMP, MLAG, ARP, BGP, NAT, PIM
Understanding of IP multicast routing e.g. PIM-SM, PIM-Bidir
Experience with network operating systems (EOS, IOS, PanOS)
Understanding of timing protocols NTP,PTP
Understanding of various optical fiber types and transceivers
Scripting experience (Python, Ansible) preferred
Ability to analyze packet captures using tools like Wirshark, tcpdump
Mac, Linux familiarity preferred
Experience with firewall design and configuration
Benefits
At MEMX you will have the ability to work with a talented team of professionals who bring diversity of thought and background. You will have the opportunity to shape the future of our company and the impact MEMX will have on our clients and the broader markets. We offer competitive employee benefits and perks and will continue to make this a priority to attract the best.
Work From Home
Health Care Plan (Medical, Dental & Vision)
Retirement Plan (401k)
Life Insurance (Basic, Voluntary & AD&D)
Unlimited Paid Time Off
Generous Paid Family Leave
Short Term & Long-Term Disability
Training & Development
Wellness Resources
Pay Range: $130,000 to $160,000
*Pay ranges are a general guideline only and not a guarantee of compensation. Compensation may vary depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location.
Equal Opportunity Statement
MEMX is an equal opportunity employer. We are committed to creating a diverse and inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Diversity Inclusion Statement
At MEMX, we believe that diversity and inclusion are essential to driving innovation and success. We welcome and celebrate individuals from all backgrounds and perspectives, and we strive to create an inclusive culture where everyone can thrive.
Location: London
At Citymapper (a Via company), we’re on a mission to help make complex cities more accessible to everyday users. Our application transports millions of people in hundreds of cities around the world by giving them access to the most current and sophisticated transport options available. We make getting around your favourite city easy, so that you can enjoy the ride.
As
Strategy & Operations Manager
at Citymapper,
you’ll lead the team of analysts who deliver the high-quality transport data behind our product.
Every route, departure time, and disruption alert in the app depends on their work and shapes the Citymapper experience for millions of users every day.
This is a hands-on, leadership-first role: you’ll coach and develop your team, remove blockers, and create the conditions for them to do their best work. Working closely with Product, Engineering, and Commercial teams, you’ll keep the team focused on what matters most to our users and the business, ensuring their work goes beyond maintaining data quality to actively improving the Citymapper experience and driving product growth.
What You’ll Do
Lead, coach, and develop a high-performing team of analysts, creating an environment where people can do their best work.
Own data strategy and quality across your international portfolio, helping users rely on Citymapper every day.
Partner with Product, Engineering, and Operations to set priorities and deliver improvements.
Shape the team’s tools, workflows, and automation, including how AI can improve quality, efficiency, and scale.
Turn complex datasets into actionable insights that inform decisions and improve the product.
Support key delivery initiatives, coordinating across teams to keep work moving.
Co-own product metrics related to data quality and the end-user experience, using them to identify opportunities and measure progress.
Who You Are
A strong operator:
You have experience in operations, technical, or generalist roles. You're comfortable juggling competing priorities, working across teams, and finding a path forward when things aren't straightforward.
Technically comfortable:
You can engage with data and product work, dive into unfamiliar topics, and earn your team's trust without needing to be the most technical person in the room.
A natural people leader:
You know how to motivate people, give constructive feedback, and create an environment where your team can do their best work.
A strong project manager:
You can keep multiple workstreams organised, maintain momentum, and stay on top of the details.
A clear communicator:
You build trust quickly across teams and are equally comfortable in an engineering discussion or a commercial conversation.
Bonus points if you have experience working with data, Python, and/or common transport data formats (GTFS, TransXChange, SIRI, HAFAS, etc.). It's not required, though. Curiosity and a willingness to learn matter more to us than checking every box on the job description.
What We Offer
Salary Range: £70,000-£85,000. Total compensation also includes equity. Final salary will be determined by the candidate’s experience, knowledge, and skills.
Comprehensive benefits package, including generous paid parental leave, and health scheme offered through AXA
A hybrid working model and a spacious office near Chancery Lane where you can enjoy weekly team lunches
Partnership with YellowNest, a salary exchange benefit that helps reduce childcare fees for working parents
Cycle to Work Scheme - multiple options via Green Commute Initiative (GCI)
There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride?
Via is an equal opportunity employer.
Location: United States
SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling.
As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities.
This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title.
Role and Responsibilities
Build and execute a territory strategy for net-new customer acquisition.
Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity.
Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer.
Engage executive, business, technical, security, and procurement stakeholders.
Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases.
Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome.
Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload.
Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance.
Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses.
Travel within the assigned territory as required.
Required Skills and Experience
5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus.
Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline.
Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners.
Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases.
Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences.
Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills.
B.A., B.S. degree or equivalent in a related field.
Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees.
SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
(SLS00311) Remote-US
Location: Milan, Italy; Biassono, Italy
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide.
We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality.
🛠️ THE DAY-TO-DAY
- Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects.
- Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer.
- Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted.
- Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed.
- Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements.
- Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation.
- Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures.
⚡ YOUR SUPERPOWERS
- Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
- Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments.
- SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks.
- ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision.
- Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Fuel for Your Day: Receive a meal voucher for every working day, so you can focus on doing your best work while enjoying a meal that keeps you energized.
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
Location: Toronto, Ontario
Workplace: Hybrid
Artificial Intelligence. Actual Impact.
At Docebo, we’re using AI to change how people learn at work—and we mean actually change it. We’re an AI-powered learning platform that helps organizations create, deliver, and manage training all in one place. But our real mission goes deeper: we help teams move faster, work smarter, and focus on the work that truly matters. Our platform is built with intelligent, time-saving tools that personalize learning, eliminate busywork, and turn training from a checkbox into a superpower. The result? Better experiences for learners and real results for businesses.
We’re shaping the future of learning with a team that isn’t afraid to challenge the status quo. If you're excited by the idea of using AI to make work-life better for real people–you’ll feel right at home here. And it’s not just what we build, it’s how we show up. At Docebo, our values aren’t just posters on the wall—they guide how we work every day. We call it the Docebo Heart: trust by default, assume positive intent, and create space for different perspectives to thrive.
So… what are you waiting for? Join 900+ Docebians around the world and help us reinvent the way people learn, because learning never stops.
🚀 THE ADVENTURE AHEAD
As our Data Engineer I, you will build and fine-tune the robust cloud data pipelines that power our analytics, data science, and product teams. You’ll tackle real-world architecture challenges, collaborate with world-class engineers, and directly shape how intelligent learning experiences reach millions of users worldwide.
We are seeking engineers who bring deep analytical rigor to data modeling and relentless dedication to data quality.
🛠️ THE DAY-TO-DAY
- Engineer the Flow: Implement high-performance ELT/ETL transformations using tools like dbt based on innovative specs from senior engineers and architects.
- Orchestrate Data Jobs: Build, deploy, and maintain seamless data ingestion and transformation jobs powered by Airflow and Cloud Composer.
- Guard Data Quality: Write and execute vital data tests—including row counts, null checks, and reference validations—to keep our datasets clean and trusted.
- Monitor & Resolve: Proactively investigate automated alerts, ensuring peak system performance and escalating deeper architectural changes when needed.
- Shape Lakehouse Architecture: Maintain pristine schemas and naming conventions across Snowflake, BigQuery, or Databricks while implementing table and view enhancements.
- Document & Empower: Create clear documentation for pipelines, schemas, and caveats so the entire engineering team can safely build on your foundation.
- Partner & Collaborate: Work closely alongside Analytics and Data Science teams to deeply understand their query needs and deliver optimized data structures.
⚡ YOUR SUPERPOWERS
- Solid Academic & Technical Foundation: Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field (or equivalent practical experience).
- Early Career Momentum: 2-3 years of hands-on experience in data engineering, BI engineering, or equivalent project-driven environments.
- SQL Mastery: Exceptional ability to write clean SQL (joins, filters, aggregations) and query across cloud data platforms like Snowflake, BigQuery, or Databricks.
- ETL/ELT Aptitude: Strong foundational understanding of data transformation concepts and comfort navigating tools like dbt and Airflow under guided supervision.
- Code & Version Control Literacy: Familiarity with Python (or similar languages) and Git-based collaborative workflows to ship clean code efficiently.
OUR HYBRID WORK PHILOSOPHY 🤝
Great work can happen anywhere but coming together helps us go further. Our team spends three days a week in the office (Tuesday-Thursday) to collaborate, solve problems, and learn from each other. With flexibility the rest of the week, it’s a balance designed to help everyone do their best work and keep growing.
OUR TOTAL REWARDS PHILOSOPHY 🎉
Our Total Rewards Philosophy centers around three core areas to reward and care for our People:
- Rewarding Impact: We lead with competitive pay to reward the impact, skills and traits that fuel our success.
- Fostering Holistic Wellbeing: We care deeply about and invest in the whole person with programs that support our people’s physical, mental, and financial well-being.
- Empowering Our Talent Culture: We build a culture of trust and empowerment by designing our rewards and benefits with transparency, equity, and flexibility, enabling our people to do their best work and stay for the long haul.
OUR PROMISE TO YOU 😍
- Financial Wellness: Own a piece of Docebo through our Employee Share Purchase Plan (ESPP) at a 15% discount, plus a competitive compensation package.
- Your Well-Being, Covered: You’ll get access to health benefits, so you can get the care you need when you need it.
- Rest, Relax, Repeat: Rest and recharge with paid vacation days, two company-wide Docebo Days, floating holidays for cultural celebrations, and your birthday off!
- Family First: We provide coverage offering you time with your little one(s) so you can soak up all those precious moments. Fun fact: we had 30 Docebian babies join the family in 2025!
- Connections That Count: Connect with global communities through our Employee Resource Groups (including PRIDE, DWA, BIDOC, and Green Ambassadors) and company-wide events that keep the fun rolling all year long.
ABOUT DOCEBO 💙
At Docebo, we create seamless, AI-powered learning experiences for over 3,000 customers worldwide. We have successfully achieved two IPOs (TSX: DCBO & NASDAQ: DCBO https://www.docebo.inc/home/default.aspx), been recognized as a top SaaS e-learning solution, and are growing exponentially in the process. We're a global company, with office across North America, EMEA, APAC, and beyond. Our team is guided by five core values—Grow Together Win Together, Build with Our Customer, Clear is Kind, Own Outcomes, Progress Over Perfection—that shape everything we do. If this resonates with you, now is the perfect time to join one of the fastest-growing learning technology companies in the world.
Docebo is an Equal Employment Opportunity employer https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf. We are committed to diversity and inclusion in our workforce. All qualified applicants and employees will receive consideration for employment regardless of their race, colour, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, citizenship status, age, disability, genetic information, or any other category protected under applicable law.
As a federal contractor, Docebo is committed to the principles of affirmative action and equal employment opportunity for protected veterans and individuals with disabilities. Docebo does not discriminate because of protected veteran status or on the basis of disability, and Docebo takes affirmative action to employ and advance in employment qualified protected veterans and individuals with disabilities.
Any individuals requiring a reasonable accommodation or would like to voluntarily disclose a disability or protected veteran status to assist with their employment application should send an e-mail to their recruiter directly.
Location: United States
SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling.
As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities.
This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title.
Role and Responsibilities
Build and execute a territory strategy for net-new customer acquisition.
Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity.
Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer.
Engage executive, business, technical, security, and procurement stakeholders.
Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases.
Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome.
Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload.
Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance.
Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses.
Travel within the assigned territory as required.
Required Skills and Experience
5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus.
Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline.
Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners.
Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases.
Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences.
Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills.
B.A., B.S. degree or equivalent in a related field.
Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred.
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees.
SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance.
For candidates residing in California, please see our
California Recruitment Privacy Notice
. For candidates residing in the EEA, UK, and Switzerland, please see our
EEA, UK, and Swiss Recruitment Privacy Notice.
Location: California, USA
SingleStore is looking for an accomplished sales professional to join our Sales Team. AI is moving from experimentation into production, and this role is an opportunity to break into AI while doing meaningful enterprise selling.
As an Account Executive, AI Hunter, your job is simple: create new SingleStore customers. You will find companies building AI applications where data access, real-time context, memory, retrieval, or operational scale is becoming a constraint—and turn those challenges into new SingleStore customers. You will own a broad territory, build a majority self-sourced pipeline, create demand in an emerging category, and close greenfield enterprise opportunities.
This is a true hunting role. You will engage customers before they have a defined project, develop customer-specific points of view, create urgency around business and technical problems, work with technical experts to land first production workloads, and build a measurable new-logo business with broad ownership. The ideal candidate is a measurable enterprise hunter who is competitive, curious, technically credible, resilient, and able to sell business outcomes. Direct AI sales experience is valuable, but proven selling ability and technical curiosity matter more than a narrow “AI seller” title.
Role and Responsibilities
Build and execute a territory strategy for net-new customer acquisition.
Prospect fearlessly across a broad account universe using proactive, persistent outbound, account-based, partner, and market-education motions; stay resilient and effective through rejection and ambiguity.
Form account hypotheses, map the buying center, and earn first meetings with relevant points of view tailored to the customer.
Engage executive, business, technical, security, and procurement stakeholders.
Lead great business-first discovery, connect AI and data challenges to fundable goals, and build quantified ROI, TCO, or operational-impact cases.
Build and develop champions, multi-thread the buying group, earn executive and economic-buyer access, and maintain stakeholder alignment; own the stakeholder plan, mutual action plan, close plan, value case, stage gates, forecast, and commercial outcome.
Lead complex sales cycles through technical validation, security, legal, procurement, negotiation, and close.
Partner with Solutions and Forward Deployment Engineers and cross-functional teams to validate technical fit and establish the first production workload.
Navigate competitive displacement and maintain disciplined activity management, CRM hygiene, reporting, qualification, forecasting, and opportunity management; showcase clear metrics such as pipeline created, meetings, conversion, quota attainment, and new-logo performance.
Be AI fluent: use AI and research tools productively and responsibly while applying judgment, validating outputs, and separating facts from hypotheses.
Travel within the assigned territory as required.
Required Skills and Experience
5+ years of quota-carrying B2B enterprise software sales experience, ideally selling to large or technically sophisticated organizations; experience in data, cloud, analytics, AI, or adjacent technical domains is a plus.
Repeated, quantified quota success with clear ownership of new-logo wins and self-sourced pipeline.
Experience closing complex, multi-stakeholder deals involving executives, technical evaluators, security, legal, finance, procurement, and partners.
Ability to sell measurable business outcomes and build ROI, TCO, or operational-impact cases.
Technical fluency in an adjacent domain such as databases, data infrastructure, analytics, AI/ML, cloud, Kubernetes, developer tools, cybersecurity, observability, or open-source software.
Strong qualification, account planning, forecasting, CRM, negotiation, and deal-management skills.
Learning velocity and coachability, demonstrated through specific behavior change after feedback; ability to explain technical concepts clearly to technical and executive audiences.
Executive presence, customer trust, resilience, intellectual honesty, and excellent communication skills.
B.A., B.S. degree or equivalent in a related field.
Experience with Fortune 500 or security-sensitive organizations, cloud ecosystems, open-source or consumption-based products, or emerging categories is preferred.
(SLS00335)Remote-US
To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees.
SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.
SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. Certain roles are also eligible for additional rewards, including merit increases and annual bonuses.
SingleStore’s base salary range for this role is $90,000 to $150,000 with annual target earnings of $180,000 to $300,000 at quota with significant accelerators for overperformance.
For candidates residing in California, please see our
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. For candidates residing in the EEA, UK, and Switzerland, please see our
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Location: Ireland; United Kingdom
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ABOUT CLICKUP
ClickUp is the everything app for work, built to help teams plan, collaborate, and execute in one place. Our customers rely on ClickUp to simplify complexity, move faster, and build better operating systems for work across teams.
THE ROLE
We’re hiring a Senior Technical Account Manager, Strategic Services to partner with strategic customers as they implement, expand, and mature their use of ClickUp. This role sits within Professional Services and is ideal for someone who can blend customer leadership, workflow design, technical problem solving, and practical change management.
You’ll help customers move from fragmented processes to scalable ways of working in ClickUp. That means leading complex implementations, guiding adoption across multiple stakeholder groups, identifying opportunities for automation and AI, and helping customers realize measurable business value from the platform.
WHAT YOU’LL DO
LEAD STRATEGIC IMPLEMENTATIONS AND CUSTOMER TRANSFORMATIONS
- Own complex customer engagements from discovery through rollout, enablement, and ongoing optimization.
- Diagnose current-state workflows, identify friction points, and design scalable future-state solutions in ClickUp.
- Guide customers through governance, architecture, process design, and rollout planning across multiple teams or business units.
- Help customers recover momentum when implementations stall, priorities shift, or stakeholder alignment breaks down.
DRIVE ADOPTION, VALUE REALIZATION, AND ACCOUNT HEALTH
- Partner closely with customer stakeholders to define success measures, adoption milestones, and practical next steps.
- Translate customer goals into clear execution plans that improve adoption, stakeholder engagement, and long-term platform value.
- Use usage signals, customer feedback, and business context to identify risks early and build recovery or acceleration plans.
- Support strategic business reviews and customer conversations with a clear point of view on progress, opportunities, and priorities.
DESIGN SCALABLE SOLUTIONS, AUTOMATION, AND AI USE CASES
- Turn complex business needs into thoughtful ClickUp solutions using workflows, structure, automations, reporting, and process best practices.
- Recommend when to standardize, when to keep flexibility, and how to balance technical ambition with customer readiness.
- Identify practical automation and AI opportunities that improve customer outcomes instead of creating unnecessary complexity.
- Help customers operationalize new ways of working by pairing solution design with enablement, change management, and adoption support.
PARTNER ACROSS TEAMS TO SOLVE COMPLEX CUSTOMER PROBLEMS
- Act as a trusted advisor to customer admins, operators, and executive stakeholders.
- Coordinate effectively with Customer Success, Sales, Product, Support, and other internal partners to keep customer work moving.
- Escalate thoughtfully, communicate clearly, and maintain ownership even when multiple teams are involved.
- Bring customer feedback and recurring pain points back to internal teams to improve product usage, delivery patterns, and customer outcomes.
WHAT WE’RE LOOKING FOR
REQUIRED QUALIFICATIONS
- Experience in a customer-facing post-sale role such as Technical Account Management, Professional Services, Solutions Consulting, Implementation Consulting, or a closely related function.
- Proven success leading complex SaaS implementations, customer transformations, or strategic enablement programs with multiple stakeholders.
- Strong workflow and process design instincts, including the ability to translate ambiguous business needs into scalable solutions.
- Excellent customer communication skills, including confidence with both hands-on operators and executive stakeholders.
- Strong judgment in ambiguous environments, with the ability to prioritize, simplify complexity, and keep momentum through change.
- A clear ownership mindset and track record of driving outcomes rather than operating reactively.
PREFERRED QUALIFICATIONS
- Experience with work management, workflow automation, collaboration, CRM, ITSM, or adjacent SaaS platforms.
- Comfort recommending or deploying automation, reporting, and AI-enabled workflow improvements.
- Experience managing strategic or enterprise customer relationships where adoption, governance, and value realization mattered as much as configuration.
- Exposure to change management, customer enablement, or consulting-style discovery and solutioning.
- Ability to influence cross-functional teams without direct authority.
LOCATION
- This role is approved for hiring in Ireland.
- Please confirm any remote, hybrid, travel, or time-zone expectations during the hiring process.
WHY THIS ROLE IS COMPELLING
This is a high-impact opportunity for someone who enjoys combining customer strategy, technical solutioning, and execution. You’ll help strategic customers transform how they work, while shaping scalable delivery patterns inside a fast-moving environment where adoption, workflow design, automation, and AI all matter.
#LI-SO1
#LI-remote
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
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If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
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AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Boston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Washington State; Colorado; New Jersey; Georgia; Texas
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 turn n8n’s most strategic enterprise deployments into production-ready success stories by embedding on-site, solving real customer problems, and building reusable automation patterns that shape our product.
To do so, you’ll work directly with customers, Deployment Strategists, and Product to make every engagement high-impact, scalable, and repeatable:
Drive high-impact enterprise deployments
Embed on-site with enterprise customers for focused 5-day deployment engagements, arriving with a hypothesis and leaving with production workflows in place.
Partner closely with Deployment Strategists to align technical execution with customer priorities, stakeholder needs, and adoption goals.
Build trust with technical and non-technical stakeholders by turning complex customer environments into clear, actionable solutions.
Build production-grade automation solutions
Design and build workflows, integrations, and custom nodes tailored to each customer’s environment and scalable beyond the initial use case.
Extend existing n8n nodes or add missing functionality where needed to unlock high-value enterprise use cases.
Translate ambiguous business problems into concrete automation designs that prioritize real customer value over technical complexity.
Work across industries and tech stacks, getting productive quickly in new environments.
Bridge customer needs with Product and Engineering
Identify when a bespoke customer requirement should become a reusable node improvement, product feature, or platform capability.
Create a clear feedback loop with Product and Engineering by documenting technical gaps, customer context, implementation learnings, and prioritization signals.
Contribute reusable learnings, workflows, custom nodes, and integration patterns to an internal playbook library.
Turn customer learnings into product and playbooks
Identify when a bespoke customer requirement should become a core product feature and document it clearly for Product.
Contribute reusable learnings, workflows, and patterns to an internal playbook library.
Help ensure every engagement makes the next one faster, stronger, and more productized.
Keep engagements focused and scalable
Deliver time-boxed customer engagements with clear outcomes, rather than open-ended professional services work.
Build solutions that customers can own and operate themselves.
Know when to build, when to simplify, and when to push back to avoid unnecessary complexity.
REQUIREMENTS
Must-haves
🧑💻 Strong engineering background: You have solid full-stack or backend engineering experience and have built integrations, APIs, or automation pipelines in production environments.
🧩 Integration-building expertise: You can create custom nodes, extend existing integrations, and work confidently with APIs, authentication patterns, data models, and event-driven systems.
🔧 Product-minded technical execution: You can distinguish between a one-off customer workaround, a reusable node improvement, and a product feature worth escalating.
🤝 Customer-facing confidence: You’re comfortable working directly in customer environments and can build trust with engineers, operators, and non-technical stakeholders.
🗺️ Solution design skills: You can take a messy operational problem and turn it into a clean, practical technical design.
⚖️ Strong technical judgment: You know when to build, when to push back, and how to avoid gold-plating solutions that should stay simple.
✈️ Willingness to travel: You’re open to travelling roughly 30-50% of the time for on-site engagements.
⚡ Speed to productive: You can quickly understand new industries, tech stacks, and customer environments without needing everything to be neatly defined.
Nice-to-haves
🔁 Workflow automation experience: You have familiarity with n8n or similar workflow automation tools.
🏢 Enterprise deployment experience: You’ve worked with strategic enterprise accounts in complex technical environments.
🧱 Node or connector development: You’ve built custom nodes, connectors, plugins, SDKs, or reusable integration frameworks.
🚀 Forward deployed experience: You’ve worked in a forward deployed, solutions engineering, or similar role at a product-led technical organization.
📣 Product feedback experience: You’ve helped turn customer learnings into clear product feedback, roadmap input, or engineering specifications.
Why join us?
At n8n, you’ll be the founding Forward Deployed Engineer, helping define how we turn our largest enterprise deployments into long-term, referenceable success stories. Your work won’t sit in a demo environment — you’ll build production workflows with real users, influence our product roadmap, and create the playbooks that shape how this function scales.
You’ll join one of Europe’s fastest-growing startups at a moment of huge momentum, working with a remote-first team that values autonomy, speed, experimentation, and direct customer impact.
Sound like a challenge you’re excited to take on?
Apply now — and help us build the future of automation.
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: Almaty, Kazakhstan
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.
At Wolt, we help customers shop from their favourite retailers and support our partners in growing their businesses.
We’re looking for a Senior Retail Development Manager to manage and grow partnerships with some of Kazakhstan’s largest supermarket and retail chains.
You’ll own a portfolio of key retail partners, build relationships with senior decision-makers, and turn business opportunities into results. Working closely with our Retail Lead, Marketing, and Operations teams, you’ll help partners grow sales, invest in advertising and promotions, and improve the customer experience.
What you’ll be doing
In this role, you'll be managing a portfolio of enterprise partners. As Manager, you will own the strategic relationships with key accounts, set team direction and goals, coach your team to deliver excellence, and oversee performance improvement initiatives. You will work closely with your partners, operational stakeholders, and the Retail lead to improve performance, solve operational challenges, and drive sustainable growth across the partnership while building a high-performing, motivated team.
Day-to-day in this role:
Grow your partners’ business.
Build joint growth plans that increase sales and Gross Order Value (GOV) across your portfolio.
Build strong relationships.
Be the main point of contact for your partners, from store teams to senior leaders. Lead quarterly business reviews to discuss results, priorities, and next steps.
Lead commercial negotiations.
Negotiate agreements and commercial terms that create long-term value for both Wolt and our partners.
Grow advertising and promotions revenue.
Identify upselling opportunities and help partners choose campaigns that support their goals. Work with Marketing to plan campaigns and review results.
Improve store performance.
Work with store managers, pickers, and Operations to improve product availability, picking times, order acceptance, and order accuracy.
Turn data into action.
Use dashboards and spreadsheets to understand performance, spot opportunities, and decide where to focus.
Deliver on agreed priorities.
Take ownership of your targets and partner development projects, track progress, and adjust your plans when needed.
Help the team improve.
Share your experience, support colleagues with complex partner situations, and improve how we manage and grow retail accounts.
Our humble expectations
At least
5 years of relevant experience
managing large B2B accounts or strategic partnerships in retail, FMCG, grocery, delivery, marketplaces, or distribution.
A track record of growing partner sales, improving commercial performance, and delivering measurable results.
Strong negotiation skills and experience managing complex commercial discussions.
Confidence working with senior decision-makers and coordinating with operational teams.
Experience in upselling or cross-selling, with the ability to connect a partner’s needs to the right commercial opportunity.
Strong analytical skills. You’re comfortable using data to explain results, solve problems, and set priorities.
Confidence using Google Sheets and Google Slides, plus experience with reporting tools such as Power BI or Looker.
A structured, proactive approach. You can manage competing priorities and take ownership from planning through to delivery.
Fluent Russian, at least conversational Kazakh, and English at
B2 level or above
.
Nice to have:
Experience working with supermarket, grocery, or pharmacy chains.
An understanding of marketplace or platform businesses.
Experience expanding large partner portfolios or supporting the development of other account managers.
Advanced skills in data analysis or business intelligence tools.
Why you’ll love it
🚀Global and growing fast:
Be part of a fast-moving scaleup
🤩Ride of a lifetime:
Accelerate your career and build your sales skills
💪Instant impact:
Take ownership and make a difference
💙Big hearts and small egos:
Surround yourself with smart, friendly people
What we offer
🌍 Independent work in a dynamic, international team
🩺 Medical Insurance and strengthened sick leaves
🚀 Career growth and development opportunities
💙 Employee Assistance Program—therapy and wellbeing support
🍽️ Discount on your Wolt orders
🧑🎓 Wolt-wide training programs
🎉 Team budgets for celebrations and bonding
🍊 Fruits and drinks at the office
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going!
We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! 💙
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: Bremen, Germany
Supervisor:
Prof. Dr. Alexander Tormasov
About the Position
Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project.
Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called
gears
: requirements → architecture → product fit → framework (G1) → application → runtime. We are building a
World Model
over that pipeline — a model that does not just generate code, but predicts the
consequences
of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible.
The central object is not a digital twin of the application but its
formal architectural skeleton
: gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable
gap
. All of it is written in a
domain-specific language
whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose.
What you will work on
Depending on your background, one or two of:
Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories.
Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject.
DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1.
Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry.
Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples.
Profile
MSc (or equivalent) in computer science, mathematics, or a mathematical natural science.
Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say.
Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result.
Fluent technical English.
Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it.
Required mathematical background
Core skills:
Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here.
Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning.
Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes.
Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement.
Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search.
Strong command of at least one, working knowledge of a second:
Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it.
Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra.
Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer.
Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection.
Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics.
Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary.
Required hands-on programming skills
This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once.
Must have:
Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default.
Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility.
Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions.
Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle).
Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining.
Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files.
LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks.
Linux, git, code review, shell.
Desirable:
Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there.
JAX, or compiler / SAT-SMT internals.
Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry.
One systems language (Rust, Go or C++) for performance-critical search.
Prior experience with production software architecture, or with a brownfield system you had to change without breaking.
Funding
The appointment provides full financial coverage through a dedicated fellowship, comprising:
Monthly stipend of €1,650
Monthly research-cost allowance of €100 (Forschungskostenpauschale)
Health-insurance subsidy of €100 per month
Location:
Bremen, Germany
Duration:
3 years, full time
Start date:
November 2026
Application package must include
CV, including publications, code, or research projects.
Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project.
A link to code you have written.
A one-page research statement picking one open research question from the project and sketching how you would approach it.
Master’s and Bachelor’s degree certificate and transcripts.
Contact information for 2–3 academic referees.
Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.
Location: Paris, France
Workplace: Hybrid
HEALTH CAN’T WAIT.
Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t.
Alan exists to end the wait.
Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way.
So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience.
We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR.
Prevention as the new norm. That's what we're building with our team of 1000+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond.
⭐️ THE USER RESEARCHER ROLE ⭐️
At Alan, research is not a checkpoint. It's a compass. Our User Research team sits at the intersection of product, design, and engineering, making sure every decision is grounded in what our members actually need, feel, and experience.
As a User Researcher at Alan, you will gather and prioritize the most important questions from across the company, and design the right research to answer them. That means running interviews, diary studies, surveys, and usability sessions throughout the full product cycle, not just at the end. You'll then turn those findings into insights that are clear, compelling, and genuinely useful to the teams who need them.
You'll work hand in hand with Product Managers, Designers, and Engineers, and collaborate closely with our analytics and data science teams to tell a complete story about our product. You'll also help grow research culture across Alan, sharing your craft and mentoring teammates along the way.
At Alan, great research drives great product. If you love figuring out what people truly need and translating that into decisions that matter, this role is for you.
⭐️ IF YOU HAVE SOME OF THE FOLLOWING, YOU MAY BE A GREAT FIT ⭐️
You may be a great fit at Alan if you have:
- 4+ years of experience as a product/user researcher in a tech environment, with strong hands-on expertise in qualitative methods: interviews, diary studies, think-aloud usability testing, and direct observation
- Solid quantitative research skills: you're comfortable with survey design, sampling, crosstabs, and core statistical concepts
- Sharp critical thinking: you quickly identify what research is worth doing, scope it efficiently, and deliver insights that are focused and actionable
- A strategic mindset: you know how to partner with product stakeholders, communicate the value of research, and tie your findings to concrete business impact
- Compelling communication skills: you turn complex findings into clear narratives that resonate with any audience
- Experience mentoring junior researchers or non-researchers, with the ability to give clear, actionable feedback that helps others grow
- You're close to AI. Either you've built AI products, or you follow the space closely and have a clear view on where to leverage and how LLM systems behave in production.
- You care about healthcare. Alan's mission has to genuinely matter to you. For us this is essential, not a nice-to-have.
- English fluency, written and spoken
- (As a plus) Fluency in French, Spanish, or another European language
For this role, we hire within the D-E level range.
🌍 HOW WE WORK
- Based in (or within commuting distance of) one of our hubs (Paris, Bordeaux, Marseille, Brussels, Madrid, or Barcelona), with the ability to work onsite twice per week.
🎯 IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES.
If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply, as it can only bring learnings or success.
If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements?
Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application!
🔖 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.
You want to know more about Alan?
🙌 Perks & Benefits https://alan.com/en/careers/a/salary-equity: Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers.
🤘 A strong culture https://alan.com/en/about/a/leadership-principles: People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values that guide our approach to work.
Location: Europe
We are toogeza, a Ukrainian recruiting company that is focused on hiring talents and building teams for tech startups worldwide. People make a difference in the big game, we may help to find the right ones.
Currently, we are looking for a Customer Success & Retention Manager for RNK Health.
Location: Remote
Job Type: Full-Time
Working hours: 2:00 PM–10:00 PM UTC+3 (EEST)
About our client
RNK Health is a fast-growing telehealth brand. We help people get treatments like NAD+, sermorelin, tirzepatide, semaglutide, and B12 — prescribed by licensed providers and shipped to their door. We run our own ads, our own funnels, and our own sales and support team.
What this job is
You own everything that happens after the first purchase — keeping customers, winning them back, supporting them, and protecting our name. You run three teams (support, retention, and winback) through their supervisors, and you own their results: retention, refunds, CSAT, and brand reputation. If churn drops and lifetime value climbs, that's you. If refunds spike or our reviews tank, that's also you.
This is a strategic leadership role — you're leading leaders, not working tickets yourself. You set the targets, build the programs, and scale the teams; your supervisors run the day-to-day. You partner with the Sales Director, who owns acquisition — you own the customer once they're ours.
What you'll own
- The teams (support, retention, winback). Own the results of all three through their supervisors. Set clear targets, run your leaders, and build the structure to scale headcount as we grow — global workforce management, staffing, scheduling, and coverage.
- Retention and churn. Own the retention metrics end to end — churn rate, retention by cohort and by product, save rate, and lifetime value. Know why customers leave, build the plays to keep them, and prove the plays work.
- Refunds. Own the refund rate and the drivers behind it. Cut the refunds that come from bad fit or bad experience — and know the difference between a refund problem and a healthy cancellation.
- Winback. Own the winback engine — the offers, the cadence, and the results. Turn churned customers back into paying ones, and know the ROI of every winback offer by product.
- CSAT and support quality. Own CSAT and support quality — response times, resolution, and tone. Support is the front line of the brand; keep it fast, human, and on-message.
- Loyalty and lifetime value. Build and own loyalty programs, referrals, and lifecycle plays that raise LTV and make customers stick.
- Brand reputation. Own how we look to the outside world — reviews (Trustpilot and others), ratings, and public feedback. Drive real reviews the right way (never fake ones), respond to the bad ones, and protect the brand.
- Tools. Own the support and retention stack — Zendesk today, plus whatever we need to add. Configure it, keep it clean, and make sure it gives you the numbers to run the teams.
- Staying legal. We're healthcare — support, retention, and winback all touch patients. Every message and offer follows health privacy rules (HIPAA), subscription and cancellation disclosure rules, and honest review/advertising rules (no fake reviews, no claims we can't back up). You work closely with compliance.
Who we're looking for
- Five or more years in customer success, retention, or support leadership, with two or more leading other leaders (managing supervisors or team leads)
- You've owned retention, churn, or LTV as a number and moved it — with the data to prove it
- You've scaled a support or CS team through growth, not just run a steady-state one
- You're comfortable living in the data — churn cohorts, refund drivers, CSAT — and can prove a change worked
- You've run a winback or save program and know the ROI of your offers
- You understand brand reputation and review platforms, and you play it straight
- You know Zendesk (or a comparable support platform) well enough to configure it yourself
Nice to have
- Experience in telehealth, supplements, weight loss, or another subscription health business
- Experience with Zendesk, Trustpilot, or a loyalty/retention platform
- You've built a loyalty or referral program from scratch
- Comfort partnering with sales and operations functions
First 90 days
- Days 1–30: Learn the product and customer journey, sit in with support, retention, and winback, audit our retention, refund, and CSAT numbers, and hand us a written list of where we're bleeding customers and revenue.
- Days 31–60: Set targets for each team, tighten the winback offers, and launch your first retention or refund-reduction play.
- Days 61–90: Show a measurable move in retention or refunds, a plan for a loyalty program, and a staffing and scaling plan for the next quarter.
How to apply
Send your resume plus a short note answering two questions:
- Describe a time you moved a retention or churn number. What did you change, and what were the numbers before and after?
- Refunds are climbing month over month. Walk us through how you'd find the cause and your first three moves.
Location: Raanana
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
Our Growth team is a transversal entity aiming to maximize and deliver the potential of any mobile product. It combines user acquisition, creative content production, monetization, and the tech capabilities required to turn applications into global hits. With over 150 experts, we operate at the forefront of mobile marketing and ad tech across various types of games (hypercasual, hybrid, 100% IAP).
ROLE
Beach Bum is a dynamic and innovative gaming company that brings a fresh twist to classic games by introducing them to the world of casual online games. Beach Bum was created in 2015 by industry leaders out of a genuine passion for gaming and technology. In 2021, Beach Bum was acquired by Voodoo, opening the door to countless new opportunities and millions of players worldwide!
As a the Head of Growth, you will own the scaling of a top priority game or a portfolio of new titles, as a strategic counterpart to the General Manager. Your mission is simple: grow Beach Bum's flagship game aggressively. You will leverage our full Performance Marketing engine (User Acquisition experts, Creative Production, internal tools) and activate non-paid growth levers to push performance even further.
- Build and own the growth strategy to scale our leading mobile games.
- Execute all our acquisition channels: paid UA but also non-paid such as partnerships, featuring, influencer marketing, growth hacking, ASO, and community building (not exhaustive).
- Monitor market trends and competitors to identify emerging high-performing growth channels.
- Collaborate with cross-functional teams to ensure flawless execution and maximize the impact of available resources.
- Conduct rigorous data analysis to evaluate channel performance, guide decisions, prioritize initiatives, and uncover new growth opportunities.
PROFILE
- 4-6 years experience on Growth expertise, in a fast-paced, analytical environments (gaming, high-growth tech environments B2C)
- Bachelor/Master’s degree from a top engineering or business school.
- Strong strategic thinking and analytical capabilities.
- Genuine interest in mobile gaming and apps and performance marketing.
- Autonomous, proactive, and comfortable rolling up your sleeves.
- Excellent communication and interpersonal skills.
- Fluent in English and Hebrew, with French considered a strong plus.
BENEFITS
- Cibus meal card with a monthly allowance of ILS 1,000
- Sick leave starting from the first day of employment
- Half-day off on select holiday eves, in addition to statutory and contractual entitlements
- An extra vacation day accrued for each year of employment
- Company shuttle service from Tel Aviv, Ramat Gan, Givatayim, and Herzliya
- Study fund (Keren Hishtalmut) starting from the first day of employment
Location: New York Office
Workplace: Hybrid
The engineering team at Chainalysis is inspired by solving the hardest technical challenges and building products that establish trust in cryptocurrencies. We're a global organization that thrives on challenging work and doing it alongside exceptionally talented teammates. Our industry evolves rapidly, and our mission is to build a flexible, AI-driven platform that automates entity resolution, optimizes data labeling pipelines, and creates predictive models that identify illicit patterns before they escalate.
Compliance Core builds and operates the platform that customers rely on to evaluate blockchain risk in real time and continuously monitor activity across billions of transfers. Our systems screen transfers and withdrawals, reassess exposure as new information arrives, aggregate risk at the user and organization level, and power datasets used by other teams and customers.
We’re looking for an Engineering Manager to lead the team and shape the next generation of this platform. You’ll help decide what to evolve, rebuild, or retire, and sequence those changes while keeping our systems reliable for every customer. This role combines hands-on technical leadership with responsibility for the team’s growth, delivery, and operational health.
In this role, you’ll:
- Lead the platform’s modernization. Set technical direction with the team, make architectural trade-offs, and turn complex changes into incremental migrations with clear milestones and safe rollouts.
- Stay hands-on. Review code, write and challenge design documents, contribute prototypes or targeted fixes, and work directly with engineers to resolve difficult technical problems and production incidents.
- Build and develop the team. Hire exceptional engineers, set clear expectations, provide candid feedback, manage performance, and support career growth. Create an environment where people can challenge ideas, take ownership, and do their best work.
- Own delivery with your partners. Work with Product and upstream teams to turn customer needs and industry changes into an executable roadmap. Make priorities, dependencies, and trade-offs explicit, and follow through on commitments.
- Make production operations sustainable. Set standards for reliability, latency, throughput, and data correctness. Improve observability, testing, incident response, and on-call practices so the platform can scale
We’re looking for candidates who have:
- Experience building and operating high-throughput, event-driven distributed systems
- Strong hands-on engineering judgment. You can work through implementation details, identify the real constraints in a design, and help the team make sound architectural decisions.
- Experience managing engineers, including coaching, performance management, and career development, with evidence of improving both team effectiveness and engineering quality.
- A track record of delivering complex technical initiatives across teams, breaking ambiguous problems into manageable steps, and balancing immediate customer needs with longer-term platform investment.
- A collaborative leadership style: you welcome challenges, explain your decisions, and help engineers develop the judgment and ownership to lead work themselves.
- Interest in blockchain and cryptocurrencies, or eagerness to learn.
Nice to have:
- Experience modernizing or migrating critical production systems while maintaining service continuity.
- Familiarity with JVM services in production.
- Experience operating customer-facing systems with strict latency and availability requirements.
- Background in compliance, payments, fraud, or another regulated domain.
- Blockchain protocol knowledge.
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Athens
Workplace: OnSite
About the company:
KIEFER is building Greece's integrated AI ecosystem. From renewable energy infrastructure and AI systems to robotics and enterprise applications, we connect the technologies that power Europe's intelligent future. Founded in 2014, KIEFER has delivered 600MW+ of energy projects and is now developing sovereign AI infrastructure, enterprise AI products and physical AI systems for Greece and Southeast Europe.
PAYROLL & HR OPERATIONS SPECIALIST – ENERGY DIVISION
KIEFER TEK | Athens, Greece | Full-Time
POWERING PEOPLE. DRIVING ACCURACY, FAIRNESS & SMARTER HR OPERATIONS.
At KIEFER Energy, we are shaping the future of energy through innovation, technology and people.
With more than 20 years of experience in the energy sector, KIEFER delivers renewable energy and infrastructure projects across Greece, combining engineering excellence, technical expertise and innovative solutions.
As our Energy Division continues to grow across solar, wind, energy storage (BESS), construction and Operations & Maintenance (O&M), we are strengthening our HR function to support an increasingly dynamic, multi-site workforce.
We are looking for a Payroll & HR Operations Specialist who understands that payroll goes beyond monthly calculations. It is about ensuring accurate compensation, supporting operational teams, protecting employee trust and translating reliable data into better HR decisions.
This role combines payroll expertise, compensation governance, gender pay equity and AI-enabled HR operations within a fast-evolving energy business.
WHAT YOU WILL DO
Payroll Excellence & Energy HR Operations
- Own the monthly payroll cycle, from data collection and validation to reconciliation and timely closing.
- Manage payroll inputs across office, construction, technical and O&M teams operating at multiple locations.
- Monitor working hours, overtime, standby duties, shifts, leave, absences, allowances, benefits and compensation changes.
- Identify and resolve payroll discrepancies, exceptions and inconsistencies before payroll finalization.
- Manage employee lifecycle administration, including hires, contractual changes, internal transfers and terminations.
- Handle payroll-related processes and submissions through ERGANI II.
- Ensure compliance with Greek labor, payroll and social security legislation.
- Prepare payroll, headcount, labor-cost and compensation reports.
- Collaborate closely with HR, Finance, Accounting, Construction, O&M and site management.
Compensation Governance & Gender Pay Equity
- Monitor compensation data and investigate unexplained pay discrepancies across comparable roles and employee groups.
- Support consistent, objective and gender-neutral compensation practices.
- Contribute to EU Pay Transparency compliance, including salary structures, data accuracy and reporting readiness.
- Support gender pay-gap analysis and equal-pay reviews for equal work or work of equal value.
- Analyze salary adjustments, overtime, standby allowances and benefits to identify inconsistencies and support fair compensation decisions.
- Document findings and escalate potential pay inequities for appropriate review.
GDPR, Data Integrity & Payroll Controls
- Handle sensitive employee and compensation information in accordance with GDPR and company data protection policies.
- Maintain accurate, secure and traceable payroll records across HR systems.
- Strengthen payroll controls, data validation and audit readiness.
- Ensure appropriate confidentiality and access controls.
AI & Digital HR Transformation
At KIEFER, technology and AI are part of how we are evolving the way we work.
- Leverage KIEFER's AI ecosystem, including Sophea Nous and Sophea Meet, alongside approved digital and automation tools.
- Apply AI-assisted analytics to payroll validation, anomaly detection and reporting, with appropriate safeguards and human oversight.
- Identify opportunities to automate repetitive processes and improve accuracy and efficiency.
- Contribute to HRIS optimization and more integrated, scalable HR operations.
- Turn payroll and workforce data into actionable insights that support operational and HR decision-making.
WHAT YOU BRING
- Proven experience in Payroll and HR Operations.
- Strong knowledge of Greek labor, payroll and social security legislation.
- Hands-on experience with ERGANI II, time and attendance, overtime and payroll processes.
- Advanced Excel skills and confidence in analyzing payroll and compensation data.
- Experience with payroll and/or HRIS platforms.
- Strong analytical thinking, accuracy and problem-solving skills.
- High level of ownership, accountability and confidentiality.
- Ability to work independently and deliver accurately within demanding deadlines.
- Genuine interest in AI, automation and HR technology.
Experience in energy, construction, engineering or other multi-site operational environments, as well as compensation analytics or pay transparency, will be considered an advantage.
WHAT WE OFFER
- Fair & Transparent Compensation — A competitive package based on objective, gender-neutral criteria. The applicable gross salary range will be communicated to candidates invited to interview, in reasonable time before their first interview, in accordance with applicable pay transparency legislation.
- Private Health Insurance — Coverage through our corporate healthcare program.
- Meal Benefits — Monthly meal allowance through our employee benefits program.
- Professional Development — Opportunities to expand your expertise in payroll, compensation analytics, AI and HR technology.
- AI-Driven Workplace — Access to KIEFER's evolving AI ecosystem and digital tools.
- Career Development — The opportunity to contribute to HR transformation within a growing energy business.
- Collaborative Culture — A professional environment built on trust, accountability, inclusion and continuous improvement.
OUR COMMITMENT TO EQUAL OPPORTUNITY & PAY EQUITY
At KIEFER, we are committed to equal opportunity, gender equality and equal pay for equal work or work of equal value.
Our recruitment and compensation practices are guided by objective, gender-neutral criteria, in line with applicable Greek legislation and the EU Pay Transparency framework.
We welcome applications from all qualified candidates and do not request current or previous salary history.
All applications are handled confidentially and in accordance with GDPR and applicable data protection legislation.
JOIN KIEFER ENERGY. POWER THE FUTURE.
Behind every successful energy project are people who make it happen.
We believe that accurate payroll, fair compensation and smarter HR operations are essential to supporting those people.
If you combine payroll expertise, analytical thinking, ownership and a technology-driven mindset, we would like to hear from you.
Power the future of energy. Help shape the future of HR.
Join KIEFER.
Location: Hyderabad, India
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC.
This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff.
You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks.
As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability.
WHAT YOU'LL ACHIEVE:
- Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance.
- Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff.
- Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates.
- Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure.
- Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions.
- Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation.
- Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns.
- Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution.
- Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions.
- Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution.
- Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly.
- Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work.
- Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel.
- Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time.
- Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements.
SKILLS YOU'LL NEED TO BRING:
- 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role.
- Strong hands-on Python development experience.
- Working experience with Node.js, JavaScript, or TypeScript.
- Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation.
- Experience working with REST APIs, JSON, authentication, webhooks, and system integrations.
- Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff.
- Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation.
- Experience with Git, code review, automated testing, release practices, and production deployment.
- Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems.
- Evidence of working on production systems, not only prototypes or proof-of-concept projects.
- Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders.
- High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation.
NICE TO HAVES:
- Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation.
- Experience with AWS, GCP, or Azure.
- Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits.
- Experience with monitoring, logging, alerting, or other observability tools.
- Experience with enterprise SaaS applications, professional services, or large-scale customer implementations.
- Experience migrating large volumes of content or structured data between enterprise platforms.
- Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows.
- Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms.
- Experience working with distributed global or APAC teams.
WHAT SUCCESS LOOKS LIKE:
In your first 90 days, you will:
- Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model.
- Establish a productive working rhythm with regional FDE partners.
- Contribute to at least one migration or integration workstream through production delivery.
- Leave behind clear technical documentation, validation evidence, and an operational runbook.
Within your first six months, you will:
- Independently own production migration or integration workstreams from technical design through rollout and handoff.
- Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering.
- Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team.
- Demonstrate effective prioritization and communication across multiple concurrent APAC engagements.
- Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement.
LOCATION:
This role is based in Hyderabad, India. We work from our offices on Mondays, Tuesdays, and Thursdays, our Anchor Days, because we do our best thinking and building together in person. We're looking for someone who's excited to work alongside the team during those days.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
United States
London
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УдалённоseniorIreland; United Kingdom; Please confirm any remote, hybrid, travel, or time-zone expectations during the hiring process; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
УдалённоBoston; California; Pennsylvania; Florida; New York; Massachusetts; Virginia; Washington State; Colorado; New Jersey; Georgia; Texas
seniorAlmaty, Kazakhstan
Bremen, Germany
ГибридseniorParis, France
Working hours: 2:00 PM–10:00 PM UTC+3 (EEST)
ГибридheadГеография найма не уточнена
ГибридNew York Office
ОфисAthens; The applicable gross salary range will be communicated to candidates invited to interview, in reasonable time before their first interview, in accordance with applicable pay transparency legislation