As a Technical Customer Success Manager, you are a central part of our technical team in D/CH/AT. You support our customers in the agricultural environment, ensure smooth operations in the field, and contribute significantly to the success of our technology.

Responsibilities & Requirements

• Technical field service and direct customer support 
• Maintenance, calibration, repair, and inspection of the LaserWeeder™
• Training of operators for safe and effective use of our products 
• Diagnosis and resolution of technical problems (electrical and mechanical)
• Close collaboration with our teams in Germany, Europe, and the USA
• Support for product testing, demos, and implementations
• Ability to communicate proficiently both written and verbally in English
• Capable of lifting equipment and providing physical mechanical support as is needed 

Your Profile

• Agricultural and Construction Machinery Mechatronics Engineer / Degree in Agricultural Sciences with a technical focus
• Experience with Precision Farming technologies desirable
• Very good technical understanding (mechanics, electrics, software)
• Confident demeanor, even in challenging customer situations
• Independent and solution-oriented working style
• Willingness to travel (75%+ during peak season)
• Willingness to provide emergency services during the season
• Driver's license for cars, cars with trailers, and ideally tractors
• Very good German and good English skills, both written and spoken
• Proficient use of common IT systems

What you can expect from us

• Comprehensive training
• Fully equipped service vehicle including tools, MacBook, and iPad
• Attractive salary & stock options in a fast-growing tech startup
• Personal & professional development through training
• A meaningful task with a direct impact on the environment and agriculture
• An innovation-driven, down-to-earth team with real drive

Shape the future of agriculture with us! Apply now!

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Als Technical Customer Success Manager sind Sie ein zentraler Teil unseres technischen Teams in Schweiz. 

Sie begleiten unsere Kunden im landwirtschaftlichen Umfeld, sorgen für reibungslose Abläufe im Feld und tragen maßgeblich zum Erfolg unserer Technologie bei.

Ihre Aufgaben

• Technischer Außendienst und Support direkt beim Kunden 
• Wartung, Kalibrierung, Reparatur und Inspektion des LaserWeeder TM 
• Schulung von Fahrern zur sicheren und effektiven Nutzung unserer Produkte 
• Diagnose und Behebung technischer Probleme (elektrisch und mechanisch) 
• Enge Zusammenarbeit mit unseren Teams in Deutschland, Europa und den USA 
• Unterstützung bei Produkttests, Demos und Implementierungen

Ihr Profil

• Land- und Baumaschinenmechatroniker / Studium der Agrarwissenschaften mit technischem Schwerpunkt
• Erfahrung mit Precision Farming-Technologien wünschenswert 
• Sehr gutes technisches Verständnis (Mechanik, Elektrik, Software) 
• Souveränes Auftreten, auch in herausfordernden Kundensituationen 
• Selbstständige und lösungsorientierte Arbeitsweise 
• Reisebereitschaft (75%+ während der Hochsaison) 
• Bereitschaft zu Notdiensten in der Saison 
• Führerschein PKW, PKW+Anhänger, idealerweise Traktor 
• Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift 
• Sicherer Umgang mit gängigen EDV-Systemen

Das erwartet Sie bei uns 

• Umfassende Einarbeitung 
• Voll ausgestattetes Servicefahrzeug inkl. Werkzeug, MacBook und iPad 
• Attraktives Gehalt & Aktienanteile an einem schnell wachsenden Tech-Startup 
• Persönliche & fachliche Weiterentwicklung durch Schulungen 
• Eine sinnstiftende Aufgabe mit direktem Einfluss auf Umwelt und Landwirtschaft 
• Ein innovationsgetriebenes, bodenständiges Team mit echtem Tatendrang

Gestalten Sie die Zukunft der Landwirtschaft mit uns! Jetzt bewerben!

Requisition ID: FEQ427R217

Sr. Solutions Architect (Lakewatch - EMEA) 

The Solutions Architect (Lakewatch) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region.  Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product.  They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives.

The Solutions Architect (Lakewatch) is paired with an Account Executive aligned to the product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that customers make an informed decision as they decide to adopt the product-line in a meaningful way.

The Lakewatch product-line requires the following core technical competencies:

• 5+ years of cybersecurity engineering, security operations (SecOps), or security architecture expertise, with a proven track record of designing and delivering customer-facing security solutions (of which 3+ years are in a customer-facing, pre-sales or consulting role).
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Deep familiarity with SIEM platforms (Splunk, Microsoft Sentinel, QRadar, or similar), including deployment, tuning, detection engineering, and migration strategies. Familiarity with SOAR platforms is also desirable.
• Strong understanding of the security telemetry landscape: endpoint (EDR/XDR), network (firewall, DNS, proxy), identity (Okta, Entra ID), cloud (AWS CloudTrail, Azure Activity Log, GCP Audit), and SaaS application logs. Familiarity with standards such as OCSF.
• Experience with “detection-as-code” workflows, including rule authoring in SQL or YAML, CI/CD integration for detection pipelines, and MITRE ATT&CK framework mapping.
• Credibility in influencing security analytics products with the market insight needed to shape and prioritize roadmap capabilities.

The impact you will have

• Provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment
• Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
• As a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
• Enable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
• Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
• Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
• Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.

Competencies & Responsibilities

• 5+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
• Experience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
• Proficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
• Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
• Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
• Deep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
• Undergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.

About The Team

The Voyager team in Anduril Industries is an engineering and design division with a vast experience in developing innovative computing and communications solutions for the network edge. The team specializes in integrating enterprise networking capabilities from global IT leaders with purpose-built hardware and software platforms designed to meet market demands for the most stringent of environmental requirements.

As the Director of Growth you will report to the Head of Growth for Anduril Mission Systems Division. Your role is cross-cutting. You’ll work across programs, engineering, growth, manufacturing, software, finance, external partners, and customers to develop and execute BL growth strategy for Imaging. You will be responsible for developing, mentoring, and building the growth team in the EMEA region and in collaboration with Division and BL leadership the accounts, and mission operations teams.

Key Responsibilities

• Use your personal network to lead sales campaigns supporting a diverse set of products
• Assist customers in meeting their requirements and addressing gaps by facilitating the delivery of new capabilities, products, and technologies that are available or could be developed by this team
• Develop and maintain close working relationships with internal Anduril stakeholders including business line and division leadership, growth teams, program and engineering teams, and corporate functions to identify and shape new business opportunities, communicate and resolve program issues, and provide strategic direction to execution teams.
• Identify, onboard, and manage strategic partners that are vital to growth strategy and program execution.
• Deliver on financial performance metrics and build strategic market growth initiatives.
• Build, mentor, and lead the Growth team in business development, account management, and mission operations functions.
• Provide guidance and support to leadership by crafting long-term growth and product strategies for the program

Account Management Activities

• Defines, outlines and documents customer technical. programmatic, operational and deployment requirements
• Develops and maintains business relationships between new and existing customers
• Uses Salesforce to update accounts, initial pricing, P.O.C. and expected close dates on leads and projects
• Works with Sales Engineering team refine customer solutions
• Performs live and static demonstrations of equipment on-site or over video teleconferencing
• Advises customers on emerging technology advancements
• Coordinates with wider team where relevant to provide customer training and support
• Works with Business Development team to appropriately channel customer inquiries
• Maintains and tracks potential revenue opportunities
• Performs other related duties as assigned by management.

Business Development Activities

• Plans, develops and executes business development activities in order to achieve short and long-term revenue and profitability goals.
• Identifies key growth areas and develops new business aligned with the company's growth strategy and campaigns.
• Maintains a deep understanding of business, positioning, market focus and solutions.
• Develops an understanding of the marketplace and competitor offerings.
• Builds, develops, and manages trusted relationships with key agency decision-makers and executives.
• Creates and delivers effective client presentations and proposals that address the specific needs of a client.
• Maintains a business development pipeline of new and potential clients.
• Works within Salesforce to track all customer activities.
• Understands company's product solutions capabilities and be able to effectively communicate them to customers.
• Works with the sales engineering team to refine customer solutions.
• Aids in identifying contract vehicles, teaming agreements and proposal development.
• Strong business acumen and a command of the capture management process.
• Works with CRO to develop pricing strategy.
• Develops and manages BD annual budget.
• Performs other related duties as assigned by management.

Required Qualifications

• Must be a proven business development leader who has pursued and won complex sales campaigns
• Desire to work in a fast-paced, highly entrepreneurial, and creative environment with strong management skills and a high level of emotional intelligence
• A builder and an owner: someone who is willing to put in the work across all aspects of the business, effectively prioritize actions, and own the outcomes.
• 7-10 years of experience in technical sales

ABOUT THE TEAM

We are seeking an experienced Program Manager to lead efforts across our Connected Warfare Division in Europe.
Connected Warfare is one of Anduril's divisions focused on building a next-gen software-defined distributed C2 architecture and C4 hardware focused on orchestrating and automating 3rd party combat-fielded sensors and strike-networks for synchronised joint operations. We work with mission partners and operators to deploy reliable and robust capabilities on operationally-relevant fielding timelines to meet complex challenges across European Defence Departments.

This role offers an exciting opportunity to lead critical programmes with significant impact on our company's growth and strategic positioning in the defence sector. The ideal candidate will thrive in a fast-paced environment, demonstrate strong leadership skills with the ability to navigate ambiguity and complexities, and have a passion for delivering cutting-edge technology solutions to our defence customers.

WHAT YOU’LL DO

• Responsible for successful programme execution, exceeding both internal and external stakeholder expectations and meeting all business financial commitments
• Responsible for managing pre-contract activities related to proposed delivery schedules and resourcing
• Demonstrate collaborative leadership skills by building trust with your teams, customers, and peers while holding yourself and the cross functional team accountable to execute on business outcomes
• Communicate effectively and with confidence when engaging with customers and Anduril leadership
• Drive programme execution to achieve key business and financial objectives
• Create and implement a comprehensive communications plan for internal and external stakeholder management
• Define and maintain a PMO dashboard to support contractual and internal reporting requirements
• Navigate customer change requests while maintaining program velocity
• Ensure decisions support current efforts and position the company for continued on-contract growth
• Oversee the development of media and artifacts to illustrate program velocity
• Manage complex hardware and software components within the program
• Manage sub-contractors, as required, to performance, schedule and budget

REQUIRED QUALIFICATIONS

• 8+ years of experience in programme management, preferably in defence or government contracting.
• Proven track record of managing large-scale, complex software programmes.
• Strong understanding of government contracting processes and large government programme management.
• Ability to navigate complex contractual landscapes and manage programme impacts across multiple stakeholders.
• Excellent stakeholder management and communication skills.
• Ability to navigate complex contractual landscapes and ensure compliance.
• Strong financial management skills, including budget development and tracking.
• Experience with development and management of programme metrics and dashboard.
• Demonstrated ability to actively develop and execute an effective programme risk management plan.
• Experience in developing and executing communication strategies for high-visibility programs.
• Willingness to travel as needed (up to 75%)

PREFERRED QUALIFICATIONS

• Proven track record in designing and implementing best practices that drive operational efficiency and sustainable growth.
• Experience with both hardware and software development lifecycles.
• Experience with business development and bid writing activities.
• Bachelor's degree in Engineering, Computer Science, or related field; Master's degree preferred.
• PMP certification or equivalent preferred.

ABOUT THE TEAM

WHAT YOU'LL DO

• Build Anduril's European communications program from the ground up, developing strategy, establishing infrastructure, and executing across markets with varying levels of maturity and priority.
• Drive media relations across defense, technology, business, and policy outlets in priority European markets, building the relationships and pipelines that will sustain long-term coverage.
• Develop and execute market-specific narrative strategies that connect Anduril's mission and capabilities to each country's defense priorities, industrial ambitions, and security context.
• Work closely with Anduril's European General Manager and business development teams to support market entry, customer engagement, partnerships, and key events.
• Build and manage a network of regional agencies and contractors as European operations expand.
• Partner with global communications, policy, and marketing teams to adapt core messaging for European audiences without losing coherence or accuracy.
• Engage think tanks, research institutions, and policy communities to build credibility and shape the broader discourse around defense innovation and allied cooperation.
• Own metrics and reporting frameworks to track progress and demonstrate impact across markets.

QUALIFICATIONS

• 10+ years of experience in communications, public affairs, or media relations.
• Fluency in the European defense and political landscape across multiple countries, how decisions get made, who shapes opinion, and where the conversation is heading.
• A track record of building communications programs in new markets, not just inheriting them.
• Experience managing agencies, contractors, and regional communications networks across borders.
• Exceptional writing and strategic thinking, with the ability to develop narratives that land across cultures and audiences.
• Comfortable working autonomously in an early-stage market environment, with the judgment to make calls without a lot of process around you.

You'll excel in this role if you:

• Have built something before, a market presence, a regional program, a communications function, and know what that actually requires.
• Can hold complexity: different countries, different threat perceptions, different industrial interests, all requiring distinct approaches under a coherent strategy.
• Know Europe's defense ecosystem personally, the journalists, the institutions, the officials who shape how these conversations evolve.
• Are energized by the moment Europe is in, and want to help shape how one of the most important defense technology companies in the world shows up in it.

ABOUT THE JOB
You’ll own the technical development of large aircraft from white paper sketches and conceptual design through detailed design, build, flight test, transition to production, and sustainment. This includes vehicle layout and conceptual design, airframe and propulsion system design and integration, guidance section development, payload and datalink integration, fabrication and flight test. These projects will be diverse in nature and require you to leverage your technical expertise as well as leadership skills to set objectives, build a team, and drive to completion. The ability to leverage your intuition and prior experience in programmatic level decision will play a key component in making sure the right design/analysis/ and test steps are being completed to ensure success without simply completing steps for the sake of the process that don’t add value. The ideal candidate will leverage their experience executing and successfully completing prior highly optimized multi-disciplinary projects.

WHAT YOU’LL DO:

• Work closely with the customer to develop or evolve a large autonomous air vehicle. This will require close coordination with Anduril Growth, Export compliance, technical departments, US and Foreign Suppliers and US and Foreign government subject matter experts and senior leaders.
• The intent is to have a strong technical chief engineer who can become engaged in the design process, gain a deep understanding of the aircraft, and leveraging understanding of export regulations, identify technical development roadmaps including: scope, cost and schedule required to prototype, test, and manufacture exportable air vehicle.
• Lead technical and programmatic execution of new and existing air vehicle systems design, fabrication, test, productization and sustainment.
• Own the technical and programmatic success of your programs, establish technical and programmatic vision assemble teams of internal and external subject matter experts, and communicate that vision to them.
• Candidate will begin with a high level of individual contributor work to initiate a program. Success will result in potential production capability. This will require building a technical and programmatic team around business opportunities.
• Set up trades to enable the exploration of early conceptual designs while working closely with technical SME’s and Business Development teams to find the right solution to current and future gaps in the sovereign capability to ensure the warfighter has the best solution for current and future conflicts.
• Manage the detailed design of the system and subsystems including requirements development, sub-system trades and optimization, risk management etc. to ensure the appropriate consideration of design key performance parameters, schedule, costs and risks.
• Coordinate the fabrication of prototype and low-rate production articles and subsystem/system level test efforts.
• Develop budgetary estimates and schedules working with functional engineering teams
• Work with suppliers and vendors to incorporate relevant capabilities onto the air vehicle.

REQUIRED QUALIFICATIONS

• Aerospace, Mechanical, Electrical, or Software Engineering Degree from an accredited institution
• 10+ years of technical engineering experience in a professional environment
• Deep understanding of unmanned aircraft at and above Group 3 class
• Experience with aircraft system design, prototype and test
• Experience in a senior role leading air vehicle programs from initial concept through test and delivery to customers
• Experience driving strategic direction in competitive landscapes, solving complex system optimization challenges under tight constraints.
• Proven ability to deliver functional capabilities while aligning technical objectives with programmatic outcomes.
• Demonstrated collaboration and partnerships with internal and external stakeholders
• Strong understanding of the “why” behind Vehicle and Systems design.
• Experience with sovereign military design standards and airworthiness processes
• Experience integrating foreign vendor engineering and manufacturing teams, as well as subsystems and other products
• Must be able to obtain and hold a Dutch government security clearance

PREFERRED QUALIFICATIONS

• Experience with unmanned aircraft system design, prototype and test
• Experience managing technical development programs
• Experience with Foreign Military Sales, Direct commercial sales of defense systems

In a nutshell 

Are you ready to redefine daily life for millions? At Picnic, we're not just delivering groceries; we're building the future of commerce through groundbreaking tech and sustainable innovation. If you're a product visionary passionate about shaping hyper-personalized experiences that truly matter, then let's talk.

Tricks of the trade

• Uncover Truths: Dive deep into customer behavior and data to identify pivotal opportunities and forge a product roadmap that balances user needs with business goals.
• Design Futures: Partner with UX designers to map customer journeys and sculpt features that elevate every touchpoint: from intuitive shopping and flawless delivery to effortless aftercare.
• Empower & Scale: Cultivate a high-performing product team, fostering collaboration and excellence within a rapidly expanding, agile ecosystem.

Your superpowers

• Academic Firepower: Master’s degree in a quantitative or technical field (e.g., Mathematics, Computer Science, Data Science, Engineering).
• Proven Impact: 2-5 years of experience in a fast-paced, product-led organization, ideally with a track record as a Product Analyst, Product Owner, or Product Manager.
• Analytical Maverick: Possess sharp analytical and conceptual thinking, always rooting decisions in customer understanding, rigorous data, and technical feasibility.
• Experience Obsessed: Deeply committed to shipping products that aren't just functional, but genuinely delightful and impactful.
• Collaboration Catalyst: An exceptional communicator and collaborator, adept at uniting diverse stakeholders around a shared vision.

*Please Note: This is not a one-time hire. We’re hiring for this role throughout the year as part of our ongoing growth and expansion. An EU working permit or citizenship is required.

Picnic Perks 

🥗Fresh Lunch, coffee, and snacks 

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚲Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

🗺️Relocation

If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 

🍎Learning & development 

You’ll get ample opportunity to work on yourself at Picnic. We offer personal development through Lepaya courses, Academy trainings, and more. Interested in improving your mental wellbeing? Through OpenUp you get free access to trained psychologists and many courses. 

⛳All the rest 

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well.

https://youtu.be/4tUXuCli4LE

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

The mission of Speechify is to make sure that reading is never a barrier to learning.

Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity.  

Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.

Overview

We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us.

What You’ll Do

• Be scrappy to find new sources of audio data and bring it into our ingestion pipeline
• Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform.
• Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models.
• Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.

An Ideal Candidate Should Have

• BS/MS/PhD in Computer Science or a related field.
• 5+ years of industry experience in software development.
• Proficiency with bash/Python scripting in Linux environments
• Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP)
• Experience with web crawlers, large-scale data processing workflows is a plus
• Ability to handle multiple tasks and adapt to changing priorities.
• Strong communication skills, both written and verbal.

What we offer

• A fast-growing environment where you can help shape the company and product.
• An entrepreneurial-minded team that supports risk, intuition, and hustle.
• A hands-off management approach so you can focus and do your best work.
• An opportunity to make a big impact in a transformative industry.
• Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.
• Opportunity to work on a life-changing product that millions of people use.
• Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.
• Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio.

Think you’re a good fit for this job? 

Tell us more about yourself and why you're interested in the role when you apply.
And don’t forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit? 

Refer them! 

Speechify is committed to a diverse and inclusive workplace. 

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

SUITSUPPLY is a global leader in men's fashion, specializing in high-quality suits and menswear, available online and in stores worldwide. Our mission is to empower people to look and feel their best, leveraging cutting-edge technology to provide exceptional customer experiences. At SUITSUPPLY, innovation drives us, and craftsmanship, quality, and service define us. Are you a natural leader with a passion for technology and team success? Join us! We are looking for an experienced Software Engineering Manager to lead our dynamic engineering teams and help drive our digital transformation as we scale up to become the global style destination. If you’re passionate about technology, agile methodologies, and empowering teams to achieve their best, this is the perfect opportunity for you!

What You'll Do:

• Lead and Inspire: Coach, develop, and guide multiple IT development teams, fostering a culture of autonomy, collaboration, and continuous improvement.
• Ensure Quality Delivery: Oversee the delivery of high-quality software products that meet business goals and customer needs.
• Boost Team Performance: Increase team velocity by setting up personal development plans, facilitating knowledge sharing, and promoting technical growth.
• Collaborate for Success: Work closely with other Engineering Managers, Software Architects, Product Owners and Director of Engineering to define and execute a long-term Tech & Product vision and strategy.
• Simplify and Scale: Simplify our complex technical legacy systems and support our growth from a startup mentality to a mature, scalable organization.

Who you are:

• Proven Leadership: Several years of experience managing and steering Agile teams of 5+ engineers.
• Technical Expertise: Bachelor's degree in Computer Science or significant hands-on development experience with a solid track record of career growth.
• Agile Mindset: Strong background in Agile methodologies, with knowledge of coding in multiple languages (hands-on coding is not required for this role!).
• Team Development: Demonstrated success in line management, nurturing high-performing teams, and enabling both personal and professional growth.
• Global Perspective: Experience in an international environment, with the ability to communicate effectively on both technical and non-technical topics. 
• Managing 3-5 high-performing, autonomous teams to drive increased velocity and deliver results.
• Attracting and hiring top talent to build strong, dynamic engineering teams
• Delivering high-quality software solutions with a focus on continuous improvement
• Scaling our tech infrastructure by leveraging SaaS, cloud-native technologies, and simplifying legacy systems to support growth.

What you get:

• Competitive Compensation: An excellent salary package.
• Make an Impact: Contribute to our ambitious growth plans.
• Exclusive Discounts: 40% discount on all Suitsupply products.
• Global Workforce: Join a diverse team with 20+ nationalities, serving customers in 30+ countries and 100+ stores.

Location: Rijswijk, Netherlands.

Hours: 40 hours per week (Mon-Fri, 9:00-17:30)

Working Scheme: Onsite.

About the Logistics Coordinator job at GenScript
The Logistics Coordinator is responsible for overseeing and supporting the full logistics workflow, including monitoring inbound and outbound shipments, managing system and physical packing, conducting inventory control, handling logistics invoices and purchasing, and providing operational support. This role ensures timely delivery, accurate documentation, and compliance with internal SOPs and safety regulations while collaborating with internal teams and external carriers to maintain efficient logistics operations. 

What You'll Be Doing:

1. Shipment Monitoring:
   • Track and monitor inbound and outbound shipments to ensure on-time delivery. 
   • Communicate with carriers and internal stakeholders to resolve shipment-related issues or delays. 
2. System Inbound & Outbound:
   • Process incoming shipments using computer systems and software, updating shipment records and generating accurate documentation.
   • Complete packing tasks in the system based on SOPs and commercial requests, meticulously validating all shipping labels and export paperwork.
   • Proactively monitor and manage daily transportation movements, ensuring timely response to any deviations or disruptions.
3. Physical Packing:
   • Package and prepare goods for shipment following established guidelines.
   • Handle, sort, and organize goods within the warehouse or packing area.
   • Lift and move packages of varying weights (typically 0.5–25 kg, average ~6 kg). 
   • Ensure compliance with EHS and safety requirements during all handling activities. 
4. Logistics Invoice & Purchasing:
   • Review and submit logistics invoices (transportation, services, customs clearance, etc.) for timely payment. 
   • Monitor warehouse consumables and coordinate with procurement to complete purchasing tasks. 
5. Task Assignment & Support:
   • Execute tasks delegated by the supervisor and adapt to changing priorities. 

What We Expect From You

• Bachelor’s degree or equivalent. Additional certifications or training in logistics or supply chain management are a plus. 
• Prior experience in logistics, warehouse operations, or related fields is preferred. 
• Proficiency in using computer systems and software for inventory management and shipment tracking. 
• Physical stamina and ability to lift and move packages of varying sizes and weights (up to 20 kg). 
• Fluent in English.
• Please note that GenScript does not sponsor Highly Skilled Migrant visas for this position. Applicants must have the legal right to work in the Netherlands for a minimum of three to five years.

What We Offer

• A base salary of €2,800 per month on a full-time basis.
• A performance‑based target bonus, linked to individual achievements.
• 25 days of annual leave, plus all Dutch bank holidays.
• Complimentary warm lunch on all onsite working days to keep you fueled.
• Access to professional well-being support and consultant.
• Commuting allowance, 8% holiday pay, and a pension scheme with a 2% personal contribution.
• Quarterly team‑building activities and international working environment.
• Free parking available on the premises.

Interview Process:

1. Online Introductory Call with our Recruiter.
2. Interview with our Hiring team at Rijswijk office.

#LI-AH1

#GS

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the "Perception vs. Reality" gap: while our platform is technically robust (with minimal incidents in 2025), users often find data hard to use or unclear.
You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale.

Key responsibilities

Product strategy & vision

• Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle —- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation.
• Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives.
• Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies.
• Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value.

User research & advocacy

• Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact.
• Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption.
• Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable.
• Champion a user-centric culture, transforming how technical and business teams interact with our data models.

Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives.
• Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas

Strategic integration

• Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought.
• Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform.

Execution & delivery

• Translate business goals into well-defined problem statements, user stories, and acceptance criteria.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure every initiative has a defined "Problem to Solve" and clear success measurement.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, or a related field.
• 6–8+ years of product management experience, specifically with data products or analytics platforms.

2. Technical & domain expertise

• Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools.
• Ability to convert complex technical concepts into clear business value.
• Proven track record in leading cross-functional teams

3. Strong differentiators

• Previous experience driving large-scale data product initiatives from ideation to launch
• Experience in entertainment, online gaming, or sports betting industries.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Overview

As a Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why”—ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

1. Product strategy & vision

• Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
• Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.

2. Defining the “What” and “Why”

• Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
• Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.

3. Roadmap & stakeholder management

• Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
• Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.

4. Cross-functional collaboration

• Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
• Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
• Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.

5. Execution & delivery

• Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
• Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
• Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.

6. Performance & impact tracking

• Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
• Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
• Champion experimentation quality measurements—ensuring teams follow best practices and extract meaningful insights.
• Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.

7. Domain expertise & thought leadership

• Serve as the in-house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
• Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions to promote best practices across the company.

8. Communication & evangelism

• Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non-technical audiences.
• Continuously evangelize the power of a hypothesis-driven, data-informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

1. Education & experience

• Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
• 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.

2. Technical & domain expertise

• Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
• Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
• Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.

3. Product management skills

• Proven track record in leading cross-functional teams (Engineering, Data Science, UX) using Agile methodologies.
• Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
• Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritizing high-impact features.

4. Strong differentiators

• Hands-on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
• Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
• Previous experience driving large-scale data product initiatives, from ideation to launch.

Location preference: Bordeaux.

As the Technical Customer Success Manager (TCSM) at Carbon Robotics you are responsible for ensuring customer success via successful implementation and maintenance of Carbon Robotics Equipment. This includes training of operators, equipment supervisors or farm managers by making usage recommendations based on agronomic knowledge and implementing set up. In the post implementation stage you are responsible for customer machinery preventative maintenance and repairs. You will ensure continued customer satisfaction post delivery by establishing a trustworthy relationship. Other responsibilities will include acting as a liaison to engineering and product departments by communicating customer wishes and complaints, equipment performance and pain points or bottlenecks.`

Duties & Responsibilities:

• Deliver efficient field support to customers using Carbon Robotics equipment to include verifying machines operating at peak efficiency by proper calibration, monitoring, and regular preventive maintenance service that will be performed in both indoor and outdoor environments. 
• Serve as the point of contact for assigned accounts by training operators and all farm personnel required to successfully implement the use of Carbon Robotics equipment to growers.
• Logging, documenting and communicating customer experience and pain points to engineering and product teams.
• Quickly respond to customer concerns and identify the issue(s), in collaboration with other Carbon Robotics departments/teams. 
• Willingness to travel to customer locations is expected to be greater than 50% of the time in peak seasons.
• Overseeing and management of service tickets for service territory.
• Exercise safe working practices and procedures at all times.
• Participate in the rotation of weekend on-call duties and after-hours phone support.
• Demonstrates work cleanliness.
• Maintain all company property, including service truck, tools, laptop, Ipad, and safety equipment in good working condition.
• Build strong cross-functional relationships with customers and teams within Carbon Robotics.
• Attend in person or virtual FRE related meetings with other service team members to stay current with the Carbon Robotics Ops team agendas. 
• Support demonstration and  implementation activities.
• Collect and upload data to assist with model labeling.
• Attend online or in person refresher training classes to promote continuous improvement of technical and non-technical skillsets.
• The ability to learn and teach every facet of usage of equipment, from transportation, maintenance to field utilization and operation.
• In addition to the duties listed above, the position holder must carry out tasks assigned by their supervisor that are essentially related to their duties.

Ideal Knowledge, Skills, and Abilities:

• Ability to diagnose problems with equipment or machinery 
• Strong mechanical and electrical aptitude with the ability to troubleshoot mechanical and electrical problems
• Ability to remain calm, composed, and articulate when dealing with difficult customer situations
• Excellent relationship management, customer service, and communication skills
• Desire for solving customer issues and advocating for their success in a fast-paced and unstructured environment
• Ability to lift up to 55 pounds
• Trailer towing experience preferred but not required
• Valid driver’s license required
• Verbal and Written English literacy required and bilingual requirements are regionally preferred.

In a nutshell 

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.

All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.

Tricks of the trade

You will definitely:

• Identify and execute improvement possibilities together with other ML Engineers and (product) analysts 
• Collaborate on your project from inception to production, to continuous improvement
• Develop tools and enhancements for our cloud-based Machine Learning platform

You could work on various projects and fields, such as: 

• Demand forecasting: delivery, article, trip volumes, used Picnic-wide
• Fraud detection: helping us keep troublemakers out of our store
• Recommendation systems: generating useful in-app grocery suggestions 
• Search and ranking: helping our customers find exactly what they need
• Predicting delivery drop-off times: making sure we’re on-time at every customer’s door
• Vision: ensuring quality control and smooth operations within our warehouses 

Check out some of our previous machine learning projects here:  https://blog.picnic.nl/tagged/machine-learning

We’re looking for

• Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
• 5+ years of experience in data science or applied machine learning 
• Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
• Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
• Strong Python and SQL skills
• Able to define the long-term vision and technical architecture for ML solutions within your domain
• Experience with Docker, Kubernetes, and CI is a plus

Picnic Perks 

🫱🏼‍🫲🏾 Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

💡 Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🥗 Fresh Lunch, coffee, and snacks 

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚲 Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

🌎 Relocation

If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 

📆 All the rest 

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. 

Location: Hybrid - London, Lisbon, Munich or Amsterdam

About the Department

Account Executives, Business Development Representatives, Solution Engineers, and Customer Success - all working together to help our customers adopt Cloudflare and build great Internet-enabled experiences. The sales team at Cloudflare helps customers take on real, technical problems while building the revenue streams that help the company provide free service to millions in our community.

About the Role

Based out of one of our EMEA hubs, you will help scale our new business revenues across the Gaming & iGaming segment in the Central and Eastern Europe region by leading a team of Account Executives. As a first line manager you will i) coach AEs and act as the first line of support on pipeline generation, deal execution strategy and day-to-day matters, ii) work with Sales Ops, Management, Marketing, Partners, BDRs and other sales supporting functions to drive and iterate on/improving Cloudflare’s brand awareness, Go-To-Market strategy, and adoption, and iii) help attract, hire, and ramp-up high-performing Account Executives to hit sales targets and drive company goals (DNR growth, new product attach rates etc.).

Responsibilities

• Drive exceptional sales growth by meeting and exceeding assigned quarterly and annual quotas
• Manage, coach, and develop your team of Account Executives
• Provide day-to-day deal support and functional guidance to AEs
• Source, interview, and recruit top sales talents in coordination with recruiting and sales leaders
• Own and drive accurate and up-to-date AE KPI, reporting in Salesforce and provide attainment forecast guidance to sales management on a weekly basis
• Help define ideal AE profiles for the region
• Help on-board and ramp up AEs
• Develop and iterate on best-practices/programs aimed at accelerating DNR growth, new product (Cloudflare One portfolio) attach rates, and other company goals
• Define and drive optimal Sales Go-To-Market coverage (vertical, geo-based etc.) for all market segments
• Drive channel relationships forward to accelerate channel business
• Help foster relationships between customer/partner executives and Cloudflare executives within key customer accounts
• Drive an efficient business cadence to cover forecast calls, pipeline, deal reviews, and account plan reviews ...etc
• Devise and lead quarterly business reviews/kick-offs reporting on the overall health of the business in your region
• Set the bar and best practices when it comes to data-driven new business sales and growth of existing accounts
• Document functional best practices and work with Sales Enablement to develop AE sales play books for both core and new products
• Work with Regional/Global Sales Management, Marketing, Channel, Sales Ops, and necessary sales supporting functions to devise and implement strategies to drive up Cloudflare’s brand awareness and revenues in target markets
• Develop and maintain relationships with industry related organizations that are key to Cloudflare's business in the region

Requirements

• Fluency in English and at least one Central and Eastern European language
• A minimum of 15 years of overall sales experience out of which at least 10 years should be focused on the Central and Eastern Europe region working across Gaming & iGaming segments there
• You should have 5+ years experience managing a team of quota-carrying sales reps with a successful proven track record of selling and upselling complex solutions across all market segments in the Central and Eastern Europe region; preferably in a SaaS/Cloud/Cybersecurity platforms industry
• Experience directly managing a high volume, high velocity pipeline driving rapid growth while delivering long term value to our customers
• Experience developing & rolling-out Go-to-Market strategies in a fast-paced, rapidly changing environment
• Excellent presentation and communication skills, both written and verbal, with confidence to develop and present ideas to different audience levels
• Established experience and relationships with the Cybersecurity and SaaS/Cloud community in the assigned market with the ability to establish and grow strong partnerships
• Hands-on leader that strikes a balance between strategic vision and tactical execution
• Having a well regarded market reputation with strong related connections and relationships
• Experience with Salesforce and other sales reporting and BI tools
• Self-motivated with an entrepreneurial spirit and comfortable working in a fast-paced and dynamic environment
• Capacity to strive in a diverse and multicultural workplace
• Aptitude to learn new technical concepts and terms
• Bachelor’s degree required in a related field (Computer engineering, computer science or similar studies). MBA or MIS a plus

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects.

As a Senior Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact
• Design, build, and iterate on machine learning solutions (e.g., classifiers, regressors, ranking/retrieval, and rule-based components)
• Contribute across the ML lifecycle: data exploration, feature engineering, training, evaluation, deployment, and monitoring
• Implement reliable training/inference pipelines and help improve reproducibility, testing, and observability
• Communicate model behavior, trade-offs, and results clearly to both technical and non-technical stakeholders
• Contribute to team standards: code quality, documentation, experimentation hygiene, and responsible ML practices

We're looking for someone with:

• Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (Master’s a plus)
• 4+ years of industry experience building and deploying ML systems
• Solid proficiency in Python and familiarity with common ML libraries (e.g., PyTorch, XGBoost) and SQL
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies
• Demonstrated ability to write maintainable, tested code, participate in code reviews, and follow engineering best practices
• Strong problem-solving skills with the ability to break down ambiguous problems into scoped tasks and deliver iteratively

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito)
• Exposure to streaming data platforms like Kafka
• Contributions to open-source ML projects

Technical Support Engineer

As a Technical support engineer, you’ll be the face of Carbon Robotics as we deliver a high-quality, low friction, superior customer experience. As the first point of contact, you’ll quickly triage the issue and begin to assist the customer - relying on our knowledge base, your troubleshooting skills, and as needed, your teammates.

What you’ll do:

• Serve as the first point of contact for inbound customer communications
• Troubleshoot and resolve issues with Carbon Robotics services and products. E.g. Laswerweeder and ATK
• Gather appropriate diagnostic information
• Meet established response expectations and ensure an exceptional customer experience
• Support Carbon Robotics Field Support Engineers and Sales personnel in the field
• Contribute to internal and external documentation such as knowledge articles, process documentation, runbooks, and FAQs
• Occasional travel may be required
• Participation in on-call rotation

Knowledge, Skills, and Abilities for Success:

• 2+ years in remote/telephone/chat customer-facing service and support
• Creating and managing customer communication and tickets
• Ability to follow complex instructions both written and oral
• Sound judgement, solid relationship management, customer service and communication skills
• Hands-on technical troubleshooting in Linux environment

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

As a Staff Machine Learning Engineer in our Applied ML & Research team, you'll drive the development of cutting-edge machine learning solutions that power critical features across our online gaming platforms. Your work will directly impact platform security, user experience, and large-scale data-driven decision-making for hundreds of thousands of users daily.

This role blends hands-on technical work with strategic thinking. You’ll lead by example, contribute high-quality code, and help shape the ML roadmap in the organization through cross-functional collaboration.

What you’ll you be doing:

• Identify high-impact ML opportunities and influence stakeholders to prioritize and support these initiatives.
• Design and develop scalable machine learning models — including classifiers, regressors, and rule-based systems — to solve real-world problems.
• Own the full ML lifecycle: from data exploration and feature engineering to model training, evaluation, and deployment.
• Translate complex technical concepts into clear insights for both technical and non-technical stakeholders.
• Set and guide technical direction across ML projects, ensuring technical best practices as well as alignment with business goals.
• Mentor junior engineers and foster a culture of knowledge sharing and continuous improvement.

We're looking for someone with:

• Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 7+ years of industry experience building and deploying ML models at scale.
• Proven ability to lead cross-functional technical initiatives and influence engineering strategy.
• Proficiency in Python (with libraries like PyTorch, XGBoost, Scikit-learn) and SQL.
• Strong experience with machine learning pipelines and orchestration tools such as Airflow, SageMaker Pipelines, or similar.
• Deep understanding of machine learning fundamentals, including experience with Large Language Models (LLMs) and other emerging ML technologies.
• A track record of shipping production-level ML products and maintaining high code quality.
• Excellent problem-solving skills and ability to scope and disambiguate complex ML projects into clear, achievable milestones.

Bonus points for:

• Familiarity with ML tooling such as MLflow, ZenML, or Metaflow.
• Hands-on experience with AWS services (e.g., EC2, EKS, CloudFormation, Cognito).
• Exposure to streaming data platforms like Kafka.
• Contributions to open-source ML projects or publications in ML conferences.

Title: Systems Engineer

EdgeConneX is seeking a skilled and motivated Systems Engineer to support the global enterprise infrastructure. The candidate will play a critical role in deploying, managing and supporting our global virtual and physical server infrastructure, as well as assisting with the configuration and troubleshooting of our network infrastructure. This role requires a self-motivated & proactive individual with a strong technical background and excellent problem-solving skills.  This position is based in Amsterdam at our Schiphol-Rijk data center, but can be flexible to one day per week remote.  This position could also require as much as 10-20% travel regionally within EMEA to support critical issues.

Primary Responsibilities

• Deploy, configure, and maintain physical and virtual server environments (VMware ESXi, vSAN, and SAN).
• Monitor and optimize infrastructure performance to ensure reliability and high availability.
• Administer enterprise storage systems, including SAN, NAS, and vSAN environments.
• Troubleshoot and resolve issues across compute, storage, and networking systems.
• Perform routine maintenance, updates, and patching of systems to ensure security and stability.
• Manage and configure Cisco network switches in support of server and storage connectivity.
• Deploy, maintain, and troubleshoot virtual machines and guest operating systems including Windows Server, Ubuntu, CentOS, and Red Hat Linux.
• Collaborate with the IT team to design and implement network solutions.
• Provide technical support and guidance to end-users and other IT staff as it related to our enterprise networks.
• Document system configurations, procedures, and troubleshooting steps.
• Provide day-to-day operational support of back-end infrastructure (physical, virtual compute and network)
• Assist in updating network design documentation and schematic diagrams
• Participate in on-call rotation, ensuring uptime of critical servers, networks, and applications.

Knowledge, Skills & Abilities:

• Strong problem-solving skills and a proactive approach to infrastructure management.
• Excellent communication skills and ability to work both independently and in a team setting.
• Ability to prioritize and manage multiple projects/responsibilities/tickets.
• Ability and willingness to create (project) documentation with diagrams to be used for cross-training purposes.
• Excellent planning and organizational skills with the ability to understand the long-term “big picture”.
• Good technical writing skills and strong attention to details

Requirements:

• Bachelor’s Degree in Computer Science or a technical related field.
• 4+ years of professional experience in systems engineering and/or administration
• Strong hands-on experience with VMware vSphere (ESXi, vCenter).
• Foundation in SAN, NAS, and vSAN technologies.
• Familiarity with scripting (Powershell, bash, etc.)
• 1+ years professional experience with Cisco switch configuration and troubleshooting.
• Proficiency in administering Windows and/or Linux server environments.
• Candidates who have worked inside a hyperscale data center are highly encouraged to apply
• Candidates who possess VMware certifications (VCP or higher) are also highly encouraged to apply
• Candidates with experience with backup and disaster recovery solutions are also highly encouraged to apply
• Candidates who have Azure experience would really make a candidate stand out.

Verification of employment with previous employers may be part of the recruitment process to ascertain that the candidate’s work history and qualifications are accurate and align with the requirements of the role. 

RDQ127R176

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

Unity Catalog is our platform native unified and open governance for data and AI. It eliminate silos, simplify governance and accelerate insights at scale. We are looking for a Senior Staff Software Engineer to come tech lead Unity Catalog Runtime Enforcement. We build and harden the runtime enforcement layer for Unity Catalog, ensuring secure, consistent authorization and data access across Databricks compute, engines, and clouds. This reduces incidents and simplifies customer choices by unifying enforcement semantics. 

The impact you will have:

• Lead and grow and engineering team delivering runtime enforcement outcomes in a high-severity, cross-org domain; establish scope, SLAs, and phased roadmaps.
• Establish single-source-of-truth scope, operating model, and durable mechanisms for enforcement.
• Lead multi-year, multi-team initiatives that shape how Databricks enforces Unity Catalog at runtime across compute types and engines.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Extensive experience building and maintaining distributed systems.
• Security first mindset.
• Cross-org leadership in ambiguous, incident-heavy environments; disciplined rollout and ops maturity.
• Motivated by delivering customer value and impact.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
•  

RDQ426R402

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Product Manager on the Lakeflow Jobs team, you will shape the future of data-aware orchestration on the Databricks Data Intelligence Platform. Jobs is Databricks’ built-in orchestrator, managing hundreds of millions of workloads every week with 99.95% reliability. It powers ETL, AI/ML, BI, and streaming workloads for thousands of customers. Your focus will be on evolving control-flow capabilities, authoring experiences, and observability features that allow customers to productionize workflows with best practices like source control, code promotion, and system observability.

This role requires a deep understanding of orchestration workflows, data pipelines, and service reliability. You will work closely with engineers, designers, field teams, and customers to define the roadmap, drive adoption, and ensure Jobs is the best-in-class orchestration platform for modern data and AI teams.

The impact you’ll have:

• Define strategy & roadmap: Set vision and priorities across orchestration, triggers, authoring, and observability. Translate customer needs into features and integrations that accelerate Lakeflow Jobs adoption.
• Drive metrics & observability: Define success metrics for adoption, engagement, and developer efficiency. Use data to guide roadmap decisions and refine the product experience.
• Collaborate cross-functionally: Partner with global engineering, field engineering, solution architects, and external partners to deliver impactful features and integrations.
• Champion customer needs: Talk to hundreds of customers, understand their journeys, and advocate for features that reduce friction in authoring, monitoring, and orchestrating workloads.
• Own the product lifecycle: Write PRDs, release notes, and documentation, and drive launches that ensure customer and business success.

What we look for:

• 5+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Solid understanding of major orchestration tools (Airflow, Dagster, Prefect etc.)
• Technical skills understanding of data pipelines (Spark, dbt, Lakeflow Pipelines)
• Strong data analysis and operationalization skills (SQL, Python, building operational dashboards)
  
  

P-1345

You will be the Product Manager for the Databricks Runtime team in Amsterdam. The team works at the intersection of query processing, storage, infrastructure and data governance, all key components of the Databricks data intelligence platform. As the Product Manager, you will develop a deep understanding of modern cloud infrastructure, data governance solutions, and open source components, and gather requirements from customers. You will launch features that will impact how customers process petabytes of data every day and make it simpler for them to draw value from their data. 

This role requires coordinating all product activities from vision to implementation, including engaging customers to understand their needs, developing long-term product strategy, defining product roadmaps, working with engineering to build those products, and coordinating with various internal stakeholders (both pre- and post-launch) to ensure product success.

The impact you will have:

• Own the end-to-end product management process
• Gather customer requirements, design features and collaborate with engineering to deliver a polished market-ready product
• Drive launches with product marketing through blog posts, release notes, webinars
• Define and measure OKRs for your products
• Drive the prioritization and development of features, measurably reducing the cost and time needed for operating ETL and machine learning workflows.

What we look for:

• 6+ yrs of experience
• Bachelors degree in Computer Science or similar field
• Experience in Product Management (inbound, outbound, cross-functional processes)
• Technical skills
• Solid understanding of cloud infrastructure (AWS, Azure)
• Strong data analysis and operationalization skills (SQL, rollups, building operational dashboards)

P-1321

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 5+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

P-1127

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above.

The Delta DML team owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse. Our mission is to deliver industry-leading performance and a seamless user experience at massive scale, with most data written in Databricks flowing through our platform.  We drive performance innovations like Low Shuffle Merge and Deletion Vectors and actively contribute to open source efforts to unify Delta and Iceberg formats.

We are seeking a highly skilled and experienced Senior Staff Software Engineer to join our backend team. In this role, you will be instrumental in designing, developing, and maintaining robust backend systems that power Databricks workspaces. You will build the next-generation platform for serving workspace assets, ensuring high QPS, low latency, reliable, and performant systems, proactively addressing the future growth challenges. Additionally, as a senior member of the team, you will provide technical leadership, mentorship, and guidance to junior engineers, contributing to the overall improvement of team coding practices and system designs.

The Impact you will have:

• Solve real business needs at large scale by applying your software engineering.
• Low level systems debugging, performance measurement, and optimization on large production clusters.
• Build architecture design, influence product roadmap, and take ownership and responsibility over new projects.
• Introduce tools to allow greater automation and operability of services.
• Use your deep experience to help prevent and investigate production issues.
• Plan and lead complicated technical projects that work with several teams within the company.
• Contribute as a technical team lead by mentoring others, lead sprint planning, delegating work and assignments to team members and participate in project planning.

What we look for:

• 15+ years industry experience building and supporting large-scale distributed systems.
• Comfortable working towards a multi-year vision with incremental deliverables.
• Motivated by delivering customer value and impact.
• Strong foundation in algorithms and data structures and their real-world use cases.
• Experience driving company initiatives towards customer satisfaction.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.

P-1320

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience.

Below are some example teams you can join:

SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage.

Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also building exciting new features for more advanced workflows and customer observability. This team has a mix of frontend, backend, and reliability engineering skills & projects.

Developer Ecosystem: The developer ecosystem team focuses on the development experience and best practices using tools outside of the workspace. We own and govern the core developer ecosystem open-source components: the SDK, the CLI, and Terraform.

Apps Developer Experience - This is the team that makes developing Apps on Databricks delightful and easy. We have built an SDK and services for app developers - AppKit. Our Codegen sub-team builds tools that enable agents to generate Apps that work first time. We're currently. working on an MCP server for Cursor/Claude Code and are working on Skills.

What we look for:

• BS/MS/PhD in Computer Science, or a related field
• 2+ years of experience with HTML, CSS, and JavaScript
• Passion for user experience and design and a deep understanding of front-end architecture
• Comfortable working towards a multi-year vision with incremental deliverables
• Experience with modern JavaScript frameworks (e.g., React, Angular, VueJs/Ember)
• Strong familiarity with server-side web technologies (eg: Nodejs, Java, Python, Scala, C#, C++,Go, JVM)
• Good knowledge of SQL
• Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
• Experience in architecting, developing, deploying, and operating large scale distributed systems

P-1125

Summary

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform.

Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has  a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. 

The impact you will have:

• Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services
• Attract top talent from across the industry.
• Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven
• Represent Databricks at academic and industry conferences & events

What we look for:

• 9+ years of experience in Data Security or related areas  and expertise in two or more of the following--Cryptography, Kubernetes Security, Web Security, Governance, Privacy, Trust, Safety, Authentication, Identity Management, Access Control, Key Management, Inter-Service Authentication, Secure Application Frameworks, Detection & Response. Experience building systems at large scale internet companies is a huge plus.
• 15+ years of experience building large scale distributed systems with high availability
• Leadership skills and experience to lead across functional and organizational lines
• Strong communication skills to explain and evangelize Data Security to senior leaders across the company
• Bias to action and passion for delivering high-quality solutions
• MS or Ph.D. in Computer Science or related fields

The Role

To push further our vision of Enterprise AI, we are looking for a senior leader to grow and lead our team of Enterprise Architects. 

This high-impact leadership role demands a unique blend of deep technical expertise, people management experience, and executive presence. You will act as an executive sponsor, confidently presenting to customer C-level executives and helping your team translate strategic goals into actionable technical plans.

Your primary goal is to lead and empower a team that supports our growing sales organization in achieving revenue goals. You will ensure your team successfully unlocks technical blockers by fostering close partnerships with leadership across Sales, Value Engineering, Product Management, Data Ops, and Information Security teams.

Measures of Success

Your success will be measured by your team's impact, including new customer acquisition rates, retention, up-selling, and your overarching contribution to the overall sales team and business success.

The work you’ll do:

• Team Leadership: Hire, mentor, and manage a team of Enterprise Architects who define the overall architecture, data, and cloud strategy for our largest client accounts.
• Executive Engagement: Act as an executive sponsor in pre-Sales and post-Sales phases, presenting strategic visions to C-level executives and engaging with customer Architecture and security teams.
• Drive Strategic Innovation: Guide your team to design architectures that drive enterprise modernization, leverage capability mapping, and explore innovative solutions using emergent technologies like Agentic AI.
• Cross-Functional Alignment: Serve as the leadership bridge between our product & engineering teams within Celonis and client teams to ensure the delivery of premier technical services.
• Ecosystem & Readiness: Oversee the assessment of the IT landscape maturity of our customer installed base and ensure your team effectively coaches Celonis account teams and ecosystem partners on architecture, integration, performance, and scalability.
• Thought Leadership: Direct the development of re-usable assets for projects, as well as customer-facing position papers and thought leadership presentations on architecture and innovation with Celonis.

The qualifications you need:

• Experience: 20+ years of relevant experience, including a proven track record of managing Enterprise Architects or technical teams at a top consulting firm or software vendor.
• Strategic Vision: Proven ability to think strategically, guiding your team to connect technical solutions to business value and customer objectives.
• Communication: Excellent written and verbal communication skills, with a proven track record of navigating complex negotiations and presenting to C-level executives.
• Enterprise Architecture Expertise: Demonstrated experience and deep understanding of Capability Mapping, Enterprise Modernization, and Agentic AI.
• Technical Foundation: Strong background in Data Architecture, system integrations, data operations, automation capabilities, and data-related languages (SQL, Python, etc.). You must be able to comfortably switch from discussing high-level architecture strategy to understanding hands-on demo environments.
• Ecosystem Knowledge: Strong understanding of cloud-native architectures, SaaS solutions (Salesforce, SAP, Dynamics CRM, ServiceNow), cybersecurity posture fundamentals, API ecosystems, and legacy on-premise enterprise architectures.
• Education: MSc degree in Computer Science or an equivalent in an Information Technology-related field.
• Languages: Fluency in English is required; an additional language such as Spanish, French, German, or Italian is a strong advantage.

Preferred:

• Celonis Certifications and extensive leadership experience managing projects with OCPM and Case Centric Data Pipelines.
• Industry standard certifications such as AWS/Azure/GCP, ESB / ETL (Mulesoft, Oracle, SAP, Talend, Informatica), or TOGAF/Zachmann.
• Experience spanning at least two domains (e.g., Finance, Manufacturing, Supply Chain, HR) and at least two industries (e.g., Consumer Goods, Banking, Pharma, Aerospace).

9 month contract with possibility to extend further

Location preference: Bad Neustadt an der Saale

Position Overview

Carbon Robotics is seeking a hands-on Service Technician responsible for the inspection, repair, refurbishment, and redeployment of laser weeding modules.

This role reports to the Field Operations team and focuses on keeping modules operational and circulating efficiently between field machines and service locations. The technician will diagnose failures, perform repairs, document work, and help maintain inventory of ready-to-deploy modules at main bases and also at remote locations.

The ideal candidate is mechanically inclined, organized, proactive, and comfortable working with tools and technical equipment.

Key Responsibilities

Module Service & Repair

• Inspect returned weeding modules for defects, failures, or performance issues
• Perform troubleshooting, repair, and refurbishment of modules
• Replace components and conduct functional verification before redeployment
• Ensure serviced modules meet operational standards before returning them to inventory
  
  

Inventory & Logistics

• Maintain accurate records of module status, repair history, and inventory levels
• Prepare serviced modules for redeployment to field teams
• Help maintain a ready stock of modules to support field operations

Documentation & Procedures

• Follow established service procedures and repair protocols
• Maintain detailed service logs and documentation
• Contribute to improving repair procedures and service documentation
  
  

Field Support

• Travel to support field teams when necessary
• Assist with module replacement or troubleshooting on customer machines
• Help replenish module stock in regional locations

Qualifications

Required

• Strong mechanical aptitude and comfort working with tools
• Ability to follow technical procedures and maintain accurate documentation
• Hands-on problem-solving mindset
• Organized and disciplined with record keeping
• Valid driver’s license
• Willingness to travel up to 50%

Ability to work independently and take initiative

Preferred

• Experience servicing electromechanical systems or agricultural equipment
• Experience with robotics, sensors, or automated equipment
• Field service or equipment maintenance experience
• Basic understanding of troubleshooting electronics or mechanical assemblies

9 month contract with possibility to extend further

Location preference: Nijkerk

Position Overview

Carbon Robotics is seeking a hands-on Service Technician responsible for the inspection, repair, refurbishment, and redeployment of laser weeding modules.

This role reports to the Field Operations team and focuses on keeping modules operational and circulating efficiently between field machines and service locations. The technician will diagnose failures, perform repairs, document work, and help maintain inventory of ready-to-deploy modules at main bases and also at remote locations.

The ideal candidate is mechanically inclined, organized, proactive, and comfortable working with tools and technical equipment.

Key Responsibilities

Module Service & Repair

• Inspect returned weeding modules for defects, failures, or performance issues
• Perform troubleshooting, repair, and refurbishment of modules
• Replace components and conduct functional verification before redeployment
• Ensure serviced modules meet operational standards before returning them to inventory
  
  

Inventory & Logistics

• Maintain accurate records of module status, repair history, and inventory levels
• Prepare serviced modules for redeployment to field teams
• Help maintain a ready stock of modules to support field operations

Documentation & Procedures

• Follow established service procedures and repair protocols
• Maintain detailed service logs and documentation
• Contribute to improving repair procedures and service documentation
  
  

Field Support

• Travel to support field teams when necessary
• Assist with module replacement or troubleshooting on customer machines
• Help replenish module stock in regional locations

Qualifications

Required

• Strong mechanical aptitude and comfort working with tools
• Ability to follow technical procedures and maintain accurate documentation
• Hands-on problem-solving mindset
• Organized and disciplined with record keeping
• Valid driver’s license
• Willingness to travel up to 50%

Ability to work independently and take initiative

Preferred

• Experience servicing electromechanical systems or agricultural equipment
• Experience with robotics, sensors, or automated equipment
• Field service or equipment maintenance experience
• Basic understanding of troubleshooting electronics or mechanical assemblies

As a Manufacturing Technician at Carbon Robotics you'll be responsible for the assembly, testing, and quality control of all sub-assembly parts. This role requires attention to detail, technical skills, and the ability to work as part of a team to ensure the production of high-quality, reliable products

What you’ll do::

• Assembly:
• Assemble Sub assembly components according to detailed engineering specifications and assembly instructions.
• Use hand and power tools to assemble mechanical components, optical components, and electronic parts.
• Ensure that all components are correctly aligned and securely fastened.
• Calibration:
• Calibrate scanning devices to ensure accurate and precise operation.
• Adjust and fine-tune optical components, sensors, and other critical elements as needed.
• Quality Control:
• Document and report any issues to the Manufacturing Supervisor for resolution.
• Conduct functional tests to verify that components meet performance specifications.
• Documentation:
• Maintain accurate and detailed records of assembly, calibration, and quality control processes.
• Update and complete production logs, checklists, and other relevant documentation.
• Collaboration:
• Work closely with the Manufacturing Supervisor and other team members to meet production goals and deadlines.
• Communicate effectively with engineers and product designers to address technical issues and improvements.
• Safety:
• Adhere to all safety protocols and guidelines to ensure a safe working environment.
• Report any safety hazards or concerns to the appropriate personnel.

Knowledge, Skills, and Abilities for Success:

• Secondary education or equivalent; additional technical education or certifications are a plus.
• Willingness to work across multiple functional teams  required
• Prior experience in manufacturing or assembly of electronic or mechanical components is preferred.
• Strong attention to detail and the ability to follow precise assembly instructions.
• Proficiency with hand and power tools.
• Basic understanding of optical systems, electronics, and sensors is a plus.
• Ability to work in a fast-paced and dynamic manufacturing environment.
• Effective communication and teamwork skills.

Physical Requirements:

• Ability to lift, carry, and move equipment weighing up to 50lbs.
• Ability to stand or sit for extended periods during assembly and calibration tasks.

The Role

At Super technologies, data isn’t a support function, it’s at the heart of every major decision we make. As a Senior Scientist, you’ll operate at the intersection of product, commercial, and marketing strategy. Your analyses won’t sit in slide decks; they’ll directly shape how millions of customers engage with our products.

This is a role for very special kind of analyst: who love hard problems, thrive in ambiguity, and get energized by moving from messy data to clear insights that drive strategy. You’ll be expected to not just report what happened, but uncovering why, anticipating what’s next, and influencing what we should do about it.

What You’ll Do

• Be the Decision Engine: Run deep-dive analyses into customer behaviour, product usage, and commercial performance. Go beyond surface-level metrics to uncover the drivers behind the phenomenon.
• Shape Strategy with Data: Influence product roadmaps, commercial tactics, and marketing strategies by framing the right questions, running experiments (A/B testing, causal inference etc.), and delivering insights that change the course of decisions.
• Automate Intelligence: Build scalable dashboards, reporting systems, and data tools that enable teams across Superbet to make smarter, faster, data-driven decisions.
• Partner Across the Business: Collaborate with Product Managers, Commercial leaders, Engineers, Designers, and Marketers. You won’t just answer questions, you’ll help define them, challenge assumptions, and bring analytical rigor to high-stakes discussions.
• Tackle Ambiguity: Superbet moves fast. The questions won’t always be clear. You’ll be the one who can bring structure to chaos, translating broad business challenges into sharp, analytical problems.

What We’re Looking For

• Technical Mastery: SQL fluency (we use Snowflake) is a non-negotiable (but, we are open if you can make data talk through other languages!). You should be equally comfortable working with complex data as you are doing deep inquiry through statistical/ML methods and bringing them to life in dashboards (we use Tableau).
• Data Storytelling: You excel at transforming complex analyses into clear, compelling narratives. You can communicate insights effectively to both technical and non-technical stakeholders, making data accessible and actionable for decision-making.
• Commercial & Product Acumen: You don’t just crunch numbers; you understand how data connects to business outcomes, product design, and customer behavior.
• Bias for Impact: You care less about perfect models and more about driving measurable change. Your analyses are only successful if they move the needle.
• Proven Track Record: Previous experience in analytics and/or product data science roles (ideally in product or commercial domains) where you’ve directly influenced strategy and growth.
• Education: Degree in Data Science, Statistics, Economics, Computer Science/Engg., Mathematics, or a related quantitative field OR equivalent work experience.
• Years of Experience: We are hiring for roles with at least 2+ years of relevant experience.

Why Join Us?

• High Impact
  • Your datasets will be used daily by teams making product decisions, running experiments, and driving performance.
• Real Scale, Real Problems
  • Handle serious data volumes. We’re talking millions of events per day, multiple sources, and zero fluff.
• Freedom to Shape
  • Influence our data architecture, tooling, and best practices. You're not just implementing—you’re building.
• Solid Benefits
  • Competitive compensation & performance-based bonuses
  • Open vacation policy & hybrid work flexibility
  • Health support, wellness perks & team social budget