Location: Riyadh, Saudi Arabia
The Plant Propagator is responsible for the propagation, establishment, and management of plant material required to support the Botanic Gardens’ living collections, displays, conservation programmes, and horticulture operations. The role applies a range of propagation methods, including seeds, cuttings, grafting, division, and other vegetative techniques, to produce healthy and genetically appropriate plant stock.
The Plant Propagator will manage nursery areas and propagation stock, develop and refine propagation protocols for rare, endangered, and difficult-to-propagate species, and monitor plants through the different stages of establishment. The role will maintain detailed propagation records and evaluate success rates to continuously improve propagation techniques and support the long-term sustainability and conservation value of the Botanic Gardens' plant collections.
Scope of Work
Propagate plants using a range of techniques, including seeds, cuttings, grafting, budding, layering, division, and other appropriate vegetative propagation methods.
Select appropriate propagation techniques according to species characteristics, seasonal requirements, plant condition, and collection objectives.
Collect, prepare, process, and appropriately store seeds and vegetative propagation material.
Assess the quality and viability of propagation material prior to use.
Prepare appropriate propagation media and containers according to species-specific requirements.
Apply appropriate seed treatments, including scarification, stratification, soaking, or other pre-germination treatments where required.
Prepare and treat cuttings and other vegetative material to promote successful rooting and establishment.
Undertake grafting, budding, division, and other specialist propagation activities where appropriate.
Monitor germination, rooting, establishment, growth, and overall plant health throughout the propagation process.
Propagate plants using a range of techniques, including seeds, cuttings, grafting, budding, layering, division, and other appropriate vegetative propagation methods.
Select appropriate propagation techniques according to species characteristics, seasonal requirements, plant condition, and collection objectives.
Collect, prepare, process, and appropriately store seeds and vegetative propagation material.
Assess the quality and viability of propagation material prior to use.
Prepare appropriate propagation media and containers according to species-specific requirements.
Apply appropriate seed treatments, including scarification, stratification, soaking, or other pre-germination treatments where required.
Prepare and treat cuttings and other vegetative material to promote successful rooting and establishment.
Undertake grafting, budding, division, and other specialist propagation activities where appropriate.
Monitor germination, rooting, establishment, growth, and overall plant health throughout the propagation process.
Identify and address propagation problems, including poor germination, rooting failure, disease, pest infestation, nutrient deficiencies, and environmental stress.
Manage and maintain nursery and propagation areas, ensuring appropriate growing conditions, hygiene, organisation, and plant-care standards.
Manage nursery plant stock to meet the requirements of garden collections, seasonal displays, replacement planting, conservation programmes, and other horticulture activities.
Monitor and manage irrigation, humidity, shade, temperature, growing media, fertilisation, and plant nutrition within propagation and nursery areas.
Coordinate the movement of successfully propagated plants from propagation areas into nursery, greenhouse, indoor, or outdoor garden environments.
Support appropriate hardening and acclimatisation of young plants prior to establishment within garden collections.
Develop, test, document, and refine species-specific propagation protocols, particularly for rare, endangered, sensitive, and difficult-to-propagate plant species.
Conduct propagation trials to identify methods that improve germination, rooting, survival, and establishment rates.
Collaborate with curators, botanists, horticulturists, conservation specialists, and other technical staff to identify propagation priorities.
Support ex situ conservation and collection-development programmes through propagation of priority plant species.
Ensure propagation activities maintain appropriate provenance and collection information for conservation and scientifically important material.
Maintain detailed records of propagation activities, methods, source material, dates, treatments, environmental conditions, quantities, germination rates, rooting rates, losses, and overall success rates.
Maintain accurate nursery stock inventories and update relevant plant collection or propagation databases.
Analyse propagation outcomes and use results to improve future propagation protocols and practices.
Implement appropriate nursery hygiene, sanitation, plant-health, and biosecurity procedures.
Support Integrated Pest Management (IPM) within nursery and propagation areas.
Maintain propagation tools, equipment, facilities, and work areas in a clean, safe, and operational condition.
Ensure propagation activities comply with applicable health and safety, environment, biosecurity, and horticulture operating procedures.
Requirements
Bachelor's degree in Horticulture, Botany, Plant Sciences, Plant Biology, or a related discipline.
Specialist training or certification in plant propagation, nursery management, seed technology, grafting, or related horticulture disciplines is advantageous.
Additional training in rare plant propagation, seed conservation, nursery biosecurity, or plant conservation is advantageous.
Minimum 5+ years of relevant professional experience in plant propagation and nursery horticulture.
Demonstrated experience propagating plants using multiple methods, including seeds and cuttings.
Practical experience with grafting, budding, layering, division, and other vegetative propagation techniques is highly desirable.
Experience selecting, collecting, preparing, and handling seed and vegetative propagation material.
Demonstrated experience with seed germination, dormancy-breaking treatments, and seedling establishment.
Practical experience preparing and rooting cuttings using appropriate growing media, environmental conditions, and rooting treatments.
Experience managing nursery areas and plant stock for botanic, horticulture, landscape, conservation, or comparable plant collections.
Experience monitoring and managing irrigation, humidity, temperature, shade, growing media, and plant nutrition within nursery and propagation environments.
Experience monitoring plant health and addressing pests, diseases, nutrient deficiencies, and environmental stresses during propagation.
Demonstrated experience developing, testing, or refining plant propagation protocols.
Experience propagating rare, endangered, sensitive, or difficult-to-propagate species is preferred.
Experience supporting ex situ conservation, botanical collection development, or conservation propagation programmes is advantageous.
Experience with the hardening, acclimatisation, and establishment of propagated plants into nursery, greenhouse, or garden environments.
Demonstrated experience maintaining detailed propagation records and monitoring germination, rooting, survival, and success rates.
Experience maintaining nursery stock inventories and plant provenance or accession information.
Experience implementing nursery hygiene, sanitation, biosecurity, and Integrated Pest Management practices.
Experience collaborating with horticulturists, botanists, curators, researchers, and conservation specialists on propagation programmes.
Previous experience within a botanic garden, nursery, arboretum, conservation facility, research institution, seed facility, or comparable horticulture environment is preferred.
Location: Riyadh, Saudi Arabia; Hoyland, United Kingdom; Lusail, Qatar
We are looking for qualified and experienced horticulture professionals to join the
KAUST Beacon Development
team and support the development and maintenance of high-quality indoor and outdoor garden environments.
Positions
Horticulturalist – Indoor Gardens
– 5+ years’ experience
Assistant Horticulturalist – Outdoor Gardens
– 3+ years’ experience
Responsibilities
Plan and carry out daily horticulture activities across indoor and outdoor garden environments.
Plant, establish, maintain, prune, propagate, replace, and care for a wide range of plants.
Maintain trees, shrubs, groundcovers, herbaceous plants, seasonal displays, and indoor plant collections.
Monitor plant health and identify pests, diseases, nutrient deficiencies, water stress, and environmental issues.
Implement and support Integrated Pest Management (IPM) strategies.
Monitor and manage irrigation, watering, fertilisation, soil/media, and growing conditions.
Maintain high horticultural, aesthetic, cleanliness, and presentation standards.
Support seasonal planting and garden maintenance programmes.
Assist with plant identification, labelling, inventory, collection records, and maintenance records.
Monitor indoor environmental conditions including light, temperature, and humidity where applicable.
Maintain and safely operate horticulture tools and equipment.
Identify and report damaged, declining, hazardous, or poorly performing plants.
Support routine and preventive horticulture maintenance activities.
Work collaboratively with horticulturists, gardeners, botanists, landscape teams, irrigation personnel, contractors, and other garden operations teams.
Maintain clean, organised, and safe horticulture work areas.
Follow all applicable health, safety, environmental, biosecurity, and horticulture procedures.
Requirements
Bachelor’s degree in Horticulture, Botany, Plant Sciences, or a related discipline.
Horticulturalist
– Indoor Gardens: Minimum 5+ years of relevant professional experience.
Assistant Horticulturalist
– Outdoor Gardens: Minimum 3+ years of relevant professional experience.
Strong practical knowledge of horticulture, plant care, cultivation, and maintenance.
Experience in indoor gardens, conservatories, glasshouses, botanic gardens, public gardens, nurseries, landscapes, or similar environments.
Experience with planting, pruning, propagation, watering, fertilisation, mulching, and plant replacement.
Knowledge of plant identification and plant-health management.
Experience identifying and managing common pests, diseases, nutrient deficiencies, and environmental stresses.
Knowledge or experience in Integrated Pest Management (IPM).
Experience with irrigation and water-management practices.
Knowledge of soil preparation, growing media, fertilisation, and plant nutrition.
For the Indoor Gardens position, experience managing controlled indoor growing environments including light, temperature, and humidity is required.
Experience maintaining plant records, inventories, and maintenance documentation.
Ability to safely use and maintain horticulture tools and equipment.
Strong teamwork, communication, planning, and problem-solving skills.
Previous experience in a botanic garden, conservatory, glasshouse, public garden, arboretum, nursery, or major landscape environment is preferred.
Additional training or professional certification in horticulture, plant health, IPM, irrigation, or related areas is an advantage.
Master’s degree in a relevant discipline is preferred for the Horticulturalist – Indoor Gardens position.
Location: Dubai, United Arab Emirates
We are seeking an experienced
Head Rugby Coach
to lead the sporting development of a competitive senior rugby programme in Dubai.
Rugby 15s will be the primary competitive programme
, with the objective of building a senior squad capable of competing successfully in
UAE Rugby Division 2
. Rugby 7s will serve as an additional platform for competition, player development, recruitment, and club exposure through selected domestic and international tournaments.
The Head Coach will play a central role in
squad building, player recruitment, training, match preparation, selection, coaching structure, and long-term sporting development
.
This is a hands-on leadership position with significant influence over the club’s playing philosophy, coaching standards, performance environment, and squad composition.
Key Responsibilities
Lead the senior Rugby 15s programme and take overall responsibility for team performance.
Oversee the development and preparation of the Rugby 7s programme.
Plan, structure, and deliver senior-team training sessions.
Prepare and manage the Rugby 15s team for league fixtures and competitions.
Prepare and manage Rugby 7s squads for selected tournaments.
Establish a clear playing philosophy, tactical structure, and performance standards across both formats.
Adapt technical and tactical preparation to the specific requirements of Rugby 15s and Rugby 7s.
Assess existing and prospective players and identify recruitment priorities by position and role.
Lead player recruitment, scouting, trials, assessment, and squad selection.
Build a competitive Rugby 15s squad capable of competing successfully in UAE Rugby Division 2.
Identify and develop players suitable for the club’s Rugby 7s squads.
Develop individual and team development plans.
Work closely with club management on squad composition, recruitment strategy, and season planning.
Assist with the recruitment and management of assistant coaches, specialist coaches, and performance staff.
Establish professional standards for training attendance, preparation, fitness, discipline, and matchday performance.
Contribute to the long-term sporting strategy and development of the club.
Requirements
Significant experience coaching
senior/adult Rugby 15s
.
World Rugby Level 2 coaching qualification, or a recognised equivalent, is mandatory.
Strong technical and tactical understanding of Rugby 15s.
Strong understanding of Rugby 7s and the ability to prepare players and squads for the format.
Proven experience in player assessment, squad selection, and player development.
Experience in player recruitment, scouting, and/or trials.
Ability to build and manage squads comprising players from different rugby backgrounds and competitive levels.
Strong leadership, communication, organisational, and player-management skills.
Ability to work collaboratively with club management on sporting and recruitment decisions.
Professional approach to training planning, performance analysis, and team preparation.
Previous experience as a
Head Coach or Senior Assistant Coach
is highly desirable.
Previous Rugby 7s coaching experience is highly desirable.
Previous UAE or Gulf rugby experience is advantageous but not essential.
Coaching Qualification
World Rugby Level 2, or a recognised equivalent qualification, is a mandatory requirement.
A
World Rugby Level 3 qualification or recognised equivalent
will be considered a significant advantage.
Candidates will be required to provide details of their current coaching qualifications during the application process.
Benefits
Competitive compensation based on experience and qualifications.
UAE employment visa.
Medical insurance.
Opportunity to play a key role in building a competitive rugby programme from an early stage.
Significant involvement in squad building, player recruitment, and sporting strategy.
Opportunity to develop both Rugby 15s and Rugby 7s programmes.
Please note: All coaching, training, match day, and team activities will be based in Dubai.
Location: Vancouver, British Columbia, Canada
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
Grow With Us
We are a team from UC Berkeley, Cornell, SJTU, Cambridge, NUS, with broad industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We are seeking a talented Software Engineer (Full Stack) to join our growing engineering team.
This is a full-time, hybrid position with 2 days a week, every Tuesday and Thursday in-office to support close cross-functional collaboration.
Day In The Life
You are a seasoned Full Stack Engineer with a strong background in full-stack application development.
Work closely with Product Managers, Engineering Managers, and peer engineers to deliver well-scoped product features.
Communicate effectively with technical and non-technical stakeholders across Engineering, Product, GTM, and Customer Success teams.
You advocate for and practice test-driven development (TDD) to ensure the delivery of high-quality, reliable software.
Your technical skills are complemented by your ability to communicate effectively in English, both verbally and in writing.
Who You Are
8 to 12+ years of professional software engineering experience.
Proficiency in at least one or more of the following languages:
Python, Java, PHP, or JavaScript, with experience developing full-stack, high-performance, and high-availability applications.
Strong foundation in programming principles and design patterns.
Experience with building scalable systems and test driven CI/CD commitment to quality software development.
Experience with SQL and NoSQL databases, such as PostgreSQL or MongoDB, have comprehensive understanding of the decision-making process between SQL and NoSQL databases.
Knowledge of caching mechanisms such as Redis or Memcached.
Familiarity with cloud platforms such as AWS
Demonstrated experience in designing distributed systems with a holistic perspective.
Keep up with the latest technological trends and continuously improve productivity.
Nice To Have
Experience with NextJS or other front end technologies
What We Offer
A mission-driven and value-based company dedicated to empower deskless workers and local businesses
An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career
Competitive salary and equity
Comprehensive health coverage: medical, dental, and vision
WeWork Office - Amenities and Perks
Flexible PTO
Hybrid Office/WFH schedule
Know More About Workstream
https://www.workstream.us/blog/funding-series-b
https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
Location: Lehi
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
Grow With Us
We are a team from UC Berkeley, Cornell, SJTU, Cambridge, NUS, with broad industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We are seeking a talented Full Stack Engineer to join our growing engineering team.
This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional collaboration.
Day In The Life
You are a seasoned Software Engineer with a strong background in full-stack application development.
Work closely with Product Managers, Engineering Managers, and peer engineers to deliver well-scoped product features.
Communicate effectively with technical and non-technical stakeholders across Engineering, Product, GTM, and Customer Success teams.
You advocate for and practice test-driven development (TDD) to ensure the delivery of high-quality, reliable software.
Your technical skills are complemented by your ability to communicate effectively in English, both verbally and in writing.
Who You Are
8 to 12+ years of professional software engineering experience.
Proficiency in at least one or more of the following languages:
Ruby on Rails,
Python, Java, PHP, or JavaScript, with experience developing full-stack, high-performance, and high-availability applications.
Strong foundation in programming principles and design patterns.
Experience building scalable systems and test-driven CI/CD with a commitment to quality software development.
Experience with SQL and NoSQL databases, such as PostgreSQL or MongoDB, have comprehensive understanding of the decision-making process between SQL and NoSQL databases
Familiarity with cloud platforms such as AWS
Demonstrated experience in designing distributed systems with a holistic perspective.
Keep up with the latest technological trends and continuously improve productivity.
Nice To Have
Experience with NextJS or other front end technologies
What We Offer
A mission-driven and value-based company dedicated to empower deskless workers and local businesses
An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career
Competitive salary and equity
Comprehensive health coverage: Medical, dental, and vision plans, with 100% employer-paid employee-only coverage available on select plans. Dependent coverage options vary by health plan.
In office amenities and stocked kitchen
401K Plan
Flexible PTO
Salary Range
In compliance with the California Pay Transparency Law, the base salary range for this role is between $160,000 to $180,000 in Lehi, Utah. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.
Know More About Workstream
https://www.workstream.us/blog/funding-series-b
https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
Location: United Kingdom, London
Why Sony Interactive Entertainment?
Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity.
Role Overview:
We are seeking a Senior Director to lead our Enterprise Reporting and Analytics Engineering organization, a team of analytics engineers, report developers, visualization specialists, and people leaders. This organization focuses on the last mile of the enterprise data supply chain: the semantic models, curated data products, metric definitions, and consumption experiences that turn engineered data into decisions.
This is not a traditional reporting leadership role; the classic notion of “reporting” in the form of a myriad of dashboards and filters is racing towards obsolescence. But the need for data and insights, and the need to deliver it in a way that is digestible and actionable, is timeless. Yes, governed dashboards and trusted reporting remain the foundation, and this leader must be excellent at that foundation. But the mandate is to move the organization decisively beyond static reporting toward a proactive, intelligent analytics capability: partnering with Data Science to productize and visualize their models, enabling generative AI and LLM-based access to our data, building exception-based systems that alert users when outcomes deviate from expectation in a statistically meaningful way, and designing agents that monitor data continuously and deliver insight without being asked.
Analytics engineering shares much of its DNA with data engineering — modeling, transformation, testing, version control, CI/CD, performance and cost discipline — but is oriented toward business enablement rather than platform and pipeline. Success in this role therefore depends as much on partnership as on technical depth. This leader will work shoulder to shoulder with Data Engineering on the boundary between platform and consumption, with Product Management on roadmap and requirements, with Data Science on advanced analytic products, and with Analytics Operations on a disciplined intake and prioritization process that makes the best possible use of finite capacity.
The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products in new and innovative ways.
What you'll be doing:
Organizational Leadership
Lead, coach, and develop an organization of approximately 30 people, including managing through frontline managers; own hiring, role clarity, career pathing, performance management, and succession planning.
Define a multi-year vision and roadmap for enterprise reporting and analytics engineering, and translate it into quarterly outcomes the team and its partners can measure. Partner closely with Product Management to jointly shape the multi-year enterprise end-to-end data strategy.
Own the organization's budget, vendor relationships, and contractor or offshore capacity.
Establish and sustain an engineering culture within an analytics function: peer review, automated testing, documentation standards, source control, CI/CD, etc.
Analytics Engineering and Data Architecture
Drive maturity of the last-mile architecture in partnership with Data Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications.
Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code.
Own the enterprise metric layer so that key business measures carry a single, governed definition regardless of where they are consumed.
Partner with Data Engineering to define clear contracts and handoffs between pipeline and platform work and last-mile modeling, including shared tooling, standards, and escalation paths.
Manage query performance, warehouse consumption, and platform cost as first-class engineering concerns.
Data Governance, Metadata, and Lineage
Own cataloging, business glossary, data certification, and stewardship workflows, leveraging tools such as Atlan as the primary metadata platform.
Maintain column-level lineage across the analytics estate to support impact analysis, change management, audit, and root-cause investigation.
Leverage data access provisioning and entitlement models, including row- and column-level security, in partnership with Security, Privacy, and Compliance.
Collaborate with Data Engineering to drive data quality monitoring, freshness and availability SLAs, observability, and incident response for analytic assets.
Enterprise Reporting and Data Visualization
Drive analytics engagement by leveraging enterprise visualization and provisioning platforms, including Domo and Tableau, in partnership with Data Engineering. Ensure best practices are followed in data architecture, governance, adoption, performance, and total cost management.
Set visualization and information design standards that make reports readable, consistent, accessible, and decision-oriented.
Rationalize the existing reporting portfolio: retire redundant and unused assets, consolidate overlapping content, drive down tech debt and drive consumption toward certified sources.
Build a durable self-service capability through training, templates, community, office hours, and clear guardrails on what belongs in self-service versus centrally managed content.
Advanced, Proactive, and AI-Enabled Analytics
Partner with Data Science to productize their work: build the visualization, interaction, monitoring, and feedback loops that turn models and research into products the business actually uses.
Partner with Product Management and Data Engineering to enable generative AI and LLM access to enterprise data. This includes preparing the semantic and metadata foundation that makes data legible to models, delivering conversational analytics, text-to-SQL, and retrieval-augmented experiences on governed sources, and establishing guardrails, evaluation, and accuracy monitoring so that answers can be trusted.
Build exception-based analytics that detect when an outcome deviates from its expected value in a statistically significant way, using seasonality-aware baselines, forecast residuals, control limits, and anomaly detection rather than static thresholds.
Route those exceptions to accountable owners with context, likely drivers, and a recommended next action; actively tune sensitivity and volume to prevent alert fatigue and preserve signal.
Design and deploy analytic agents that proactively monitor data, investigate variances, assemble narrative explanations, and deliver insight into the tools where people already work.
Shift the organization's consumption model from pull to push: the measure of success is not how many people opened a dashboard, but whether the right person was told the right thing at the right time.
Cross-Functional Partnership, Intake, and Prioritization
Operate as a true partner to Product Management: contribute to roadmap, requirements, user research, and release planning, and run analytics with a product mindset covering personas, adoption metrics, and asset lifecycle management.
Partner with Analytics Operations to run a transparent intake, triage, sizing, and prioritization process, with published capacity, explicit tradeoffs, and reliable delivery commitments.
Make capacity constraints visible to stakeholders and executives, drive reuse over one-off builds, and decline or defer work with evidence rather than friction.
Serve as a senior, executive-facing partner to business functions, translating ambiguous business questions into well-scoped analytic solutions.
What we're looking for:
Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, Mathematics, Economics, or a related quantitative field; equivalent professional experience will be considered.
15+ years of progressive experience in data, analytics, or business intelligence, including 8+ years leading teams and 4+ years managing managers.
Demonstrated experience leading an organization of 25 or more people in a large, matrixed enterprise.
Strong hands-on foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt.
Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing, and CI/CD.
Enterprise-scale leveraging of BI and data visualization platforms such as Domo, Tableau, Power BI, or Looker, including governance, provisioning, adoption, and cost management.
Demonstrated ability to participate in driving data governance program covering catalog, lineage, glossary, stewardship, quality, and access, using platforms such as Atlan, Collibra, Alation, or Informatica.
Proven track record of delivering jointly with Data Engineering and Product Management, with clear ownership boundaries and shared accountability.
Direct experience partnering with Data Science, including operationalizing, visualizing, and monitoring model output for business consumption.
Working command of the statistical concepts underlying exception detection, including hypothesis testing, confidence intervals, variance and control limits, seasonality, and forecasting.
Experience running a formal intake, prioritization, and capacity planning process for a shared services or platform organization.
Excellent executive communication and influence skills, with the ability to operate effectively amid ambiguity and competing priorities.
Experience managing budget, vendor contracts, and platform licensing.
Preferred Skills:
Master's degree or MBA in a related field.
Production experience delivering LLM-based analytics: retrieval-augmented generation over governed data, text-to-SQL or conversational BI, semantic layers designed for model consumption, and prompt, evaluation, and cost monitoring frameworks.
Experience designing agentic workflows and orchestration for monitoring, investigation, and notification use cases.
Hands-on experience with Atlan, Domo, and Tableau specifically.
Proficiency in Python or R for prototyping, and familiarity with common statistical and ML libraries and MLOps concepts.
Experience deploying anomaly detection at scale, including alert routing, suppression, and fatigue management.
Familiarity with data product and data mesh operating models, domain-aligned ownership, and data contracts.
Experience operating in an Agile or product operating model at scale, including portfolio, OKR, and roadmap management. Deep experience with the “Silicon Valley” school of Product Management, as exemplified by the “Marty Kagan”-style academic approach a significant plus.
Experience leading global or matrixed teams, including offshore or vendor-partnered delivery models.
Track record leading a major platform migration, consolidation, or reporting rationalization effort.
Demonstrated success attracting, developing, and retaining senior technical talent in a competitive market.
Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks.
Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights.
Equal Opportunity Statement:
Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category.
We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond.
Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.
Location: Milan, Italy
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Join us in our mission to transform the way people shop and eat, where impact, innovation, and growth drives everything we do. At Deliveroo, Marketing plays a key role in driving growth and shaping how customers experience our brand. We work across local and global teams, combining strategic thinking, creativity and a strong understanding of e-commerce to solve business challenges and deliver best-in-class marketing campaigns. If you’re entrepreneurial, hands-on and passionate about building brands and driving growth in a fast-paced environment, this is the team for you.
We’re looking for a Marketing Manager to join our Milan team. This is a hybrid role. In this role, you’ll help us build, scale, and optimize co-marketing strategies with our key restaurant and grocery partners, driving mutual growth and maximizing brand visibility across Italy.
What You’ll Be Doing
You’ll be joining the Partner Marketing team. This team bridges the gap between our commercial business partners and our marketing engine, creating high-visibility marketing collaborations that delight customers and accelerate marketplace performance through partners growth.
Here’s what your day-to-day might look like:
Lead end-to-end co-marketing strategies:
Develop and execute joint marketing strategies with top tier restaurant partners to drive customer acquisition, order growth and partner performance, ensuring partner marketing plans and campaigns calendar are fully integrated with Deliveroo’s broader marketing strategy and priorities while leveraging local markets dynamics, seasonal opportunities and partner’s priorities.
Manage commercial marketing relationships:
Act as the primary marketing point of contact for key account stakeholders, pitching opportunities and aligning promotional roadmaps.
Optimize partner campaign performance:
Monitor real-time performance indicators and campaign metrics, utilizing data-driven insights to continuously iterate marketing tactics and maximize shared ROI.
Monitor and manage relevant marketing budgets
, tracking monthly spend and ensuring effective budget allocation in line with campaign plans and business priorities.
Collaborate cross-functionally:
Work alongside central creative, local account management, and analytics teams to ensure partner initiatives align perfectly with national brand playbooks.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
5-6 years of experience in Trade or Partner Marketing departments
within fast paced environments across FMCG, e-commerce, tech or retail with a proven track record of developing and managing successful co-marketing campaigns.
Strong understanding of the Italian commercial landscape:
Deep familiarity with regional consumer behaviors, retail promotions, and local media channels across major Italian cities.
Proven ability to manage external stakeholders:
Exceptional communication, pitching, and relationship-management skills to successfully guide commercial conversations with enterprise partners.
Data-driven mindset with commercial acumen:
Comfort interpreting data sets to evaluate campaign effectiveness, optimize attribution, and report performance clearly to partners.
Self-starter with an adaptable and proactive mindset
, comfortable navigating constant change, making sound decisions in a fast-paced environment and taking ownership in dynamic situations.
Fluency in both English and Italian:
Full professional proficiency in both written and spoken languages to ensure seamless collaboration across local and global team structures.
Why Join Us?
At Deliveroo, you’ll do work that matters, solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Make a visible impact every day
Your work directly improves experiences for customers, partners and riders.
🌱
Learn fast in an entrepreneurial environment
Work close to the market with autonomy, pace and real responsibility.
🧠
Build a career, not just a role
Stretch yourself, develop new skills and grow as the business evolves.
🌎
Deliver together in an inclusive culture
Collaborative, values-driven teams that support how you work best.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here.
Compensation
National Collective Agreement (CBA): CCNL Commercio e Terziario
Classification Level: Livello 2
The salary range for this role is €45,600 – €57,000 gross per year.
The successful candidate's starting pay will fall within the pay range listed above and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position is not eligible for consideration for an equity/RSU grant.
To learn more about our benefits, please do not hesitate to bring this up with your Talent Acquisition Partner!
The successful candidate's starting pay will fall within the pay range listed below and is determined based on a number of job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.
This position is not eligible for consideration for an equity/RSU grant.
Pay Range:
€45,60
—
€57 EUR
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Atlanta, GA (Hybrid)
The Position
CallRail is a lead engagement platform: we show businesses which marketing drives their calls, forms, and chats, and we help them answer, qualify, and route those leads around the clock. Home services is one of our largest and fastest-moving markets, and we're looking for a Vertical Marketing Manager to own it. Think of the role as general manager for home services: you set the strategy, you own the number, and you're the company's go-to on this market.
You'll build the home services personas, positioning, and messaging, verticalizing our go-to-market narrative for this audience. From there you'll partner with demand generation, customer marketing, and content on how it comes to life, and work closely with sales, product, and leadership on what we build and say. Expect roughly equal parts strategy and execution.
Home services is not one market, though. A roofer, an HVAC contractor, a remodeler, and a landscaper run different businesses with different seasons, job values, and buying triggers. Building a real strategy for each priority subvertical, rather than one generic story, is where this role makes its biggest impact.
What You'll Do
You act like an owner.
Home services is your line of business. You know its performance, its risks, and its opportunities inside and out, and you carry the accountability that comes with it.
You bring an informed point of view.
You represent home services in cross-functional and leadership conversations, and your perspective carries weight because it's grounded in real expertise — what customers are telling you, what the data shows, what competitors are doing.
You advocate for what your market needs.
You don't wait for a door to open; you open it. When you see something we need in order to win in home services, you build the case for it, bring the rationale and the numbers, and champion it until it gets a real decision.
You go deep.
You're genuinely curious about this industry, its buyers, and the forces shaping it. You want to keep learning, testing, and refining what works.
What You'll Own
Home services strategy and business performance
Own the go-to-market strategy for CallRail's home services business, including which subverticals we prioritize, how we position and message to them, and the plan to hit our acquisition and revenue goals
Live in the numbers that define the health of the business: customers, new MRR, churn, ARPU, conversion rate, and product adoption. You'll spot emerging trends and issues early, work cross-functionally to understand what's driving them, and bring a plan when one is needed.
Report on performance to leadership with the insight and executive presence to explain what's changing, what it means, and what you're doing about it
Market and competitive expertise
Be CallRail's subject matter expert on the home services market: the buyers, the workflows, the seasonal and operational realities, the vendor landscape, and the economics of how these businesses grow
Own the home services buyer personas and the value propositions, positioning, and messaging built on them — the work that differentiates CallRail in an increasingly crowded lead engagement and AI voice market
Track the competitive set continuously: who's winning, who's new, where they beat us, where we beat them, and what we should do about it. Feed that intelligence to product, sales, and leadership
Regularly surface the headwinds and tailwinds shaping the vertical and translate them into implications for our strategy
Validate market requirements through customer interviews, surveys, win/loss analysis, sales insight, and usage data
Be the face of CallRail in the home services market: trade shows, industry speaking engagements, webinars, panels, podcasts, etc.
Subvertical strategy and expansion
Decide which subverticals we invest in and in what order, with a clear view of market size, our current traction, and where we're positioned to win
Build distinct strategies, positioning, and messaging for each priority subvertical.
Know the operational differences that shape how each subvertical buys
Build the subvertical-specific proof that makes the case credible — customer stories, benchmarks, and ROI framing that speak to that trade rather than to "home services" in general
Cross-functional leadership
Serve as the hub between sales, product marketing, customer marketing, demand generation, and product development, feeding market insight into each function and making sure everyone is marching in the same direction
Serve as the messaging authority for home services: consulting across marketing for campaign and content development
Pressure-test the work happening across teams against a simple bar: does it solve a real home services customer pain point, strengthen our competitive position, resonate with the segment we're targeting, and drive measurable results?
Partner with product development teams as the voice of the home services customer, bringing market insight that shapes the roadmap
Enable sales and support: train them on the problems we solve for home services buyers, and work with sales enablement to build the internal tools and external collateral they need
What You'll Need
BS/BA and 4–6 years of experience in a strategic marketing role, with direct experience in home services tech, the trades, field service software
A track record of owning a strategy end to end and being accountable for the results, not just executing someone else's plan
Strong analytical instincts and genuine comfort with data — you can get to the story behind the metric and build a case around it
Excellent written and verbal communication, and the confidence and presence to represent your point of view to senior leaders and to external audiences
Demonstrated ability to influence and align cross-functional partners without formal authority
Comfort operating in a fast-moving environment where you'll prioritize, make tradeoffs, and shift between strategic thinking and hands-on execution in the same day
If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience.
Additional Perks
Healthcare (one option covered at 100% for employees), Dental & Vision Coverage
Competitive HSA with company matching
Paid parental leave
Flexible vacation policy
401K options with company dollar-for-dollar match
Employee stock options available from day one
$2,000 annual educational allowance
Catered lunch every Tuesday * an in-office perk
MARTA transportation or office parking expenses covered
Employee charitable donation company match, up to $500 annually
Regular company outings and events
Hybrid work options with $500 office stipend to set up your home office
Designated bike storage
Learn more:
https://www.callrail.com/about/
You Are Welcome Here
CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).
Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks.
*** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays.
Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.
Location: New York, NY, United States
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin.
As Director of Engineering for iCasino Experiences at Fanatics Betting and Gaming, you lead the engineering organization that builds the technology customers interact with in one of the fastest-growing online casinos in the U.S. Your teams design, build, and operate the software behind the casino experience across multiple customer-facing mobile applications, backed end-to-end by the content management systems and personalization that power every surface.
You'll lead an organization of roughly 20 full-time engineers spanning the U.S. and the U.K. This organization has built a product that industry analysts rank among the very best in the market for user experience, with a reliability record to match — and your mandate is to keep raising that bar while closing the competitive gap to the largest operators in the space.
This is a role that blends strategic and operational leadership. You'll set the delivery direction and quality standards your engineering managers run their teams against, shape the technical roadmap in close partnership with Product, Design, and TPM, and represent iCasino in cross-company programs — architectural, delivery, and people-related. You are customer-obsessed, and you know how to translate that obsession into an organization that ships fast and constantly evolves.
Responsibilities
Lead a high-performing engineering organization across the U.S. and the U.K.
Own delivery across the domain — set the operating rhythm, hold teams to commitments, proactively surface and resolve cross-team delivery risks, and keep capacity allocation transparent to Product and business stakeholders
Own the engineering quality and reliability bar for all customer-facing casino applications, including production readiness standards, observability, test automation strategy, and incident response across the domain
Partner with Product, Design, and TPM leadership to shape the roadmap, drive iterative delivery with intentionally scoped V1s, and translate company-level experience priorities into the domain's execution plan
Hire, develop, and coach engineering managers and senior individual contributors; design the org structure and talent strategy needed to meet business goals
Represent iCasino Experiences in cross-organization programs spanning architecture, delivery, and people — driving alignment while keeping Casino's needs front and center
Champion improvements to engineering practices, planning processes, and operational maturity that scale beyond your own domain
Step into ambiguous, cross-team problems that lack a clear owner, structure the work, and lead it to resolution
Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities
Experience and Skills
10+ years of software engineering experience
, including
4+ years leading engineering teams through managers
, ideally across multiple geographies and time zones
Proven ownership of consumer-facing product experiences at scale
— you have led organizations building mobile products where speed, polish, and reliability are the differentiators
Strong delivery leadership
, with a track record of running predictable execution across multiple teams, managing risk proactively, and holding a high quality bar without sacrificing velocity
Demonstrated ability to build and scale engineering organizations
— hiring and developing engineering teams, designing team structures aligned to business needs, and making hard performance calls with clarity and fairness
Deep operational rigor
— experience owning production reliability for customer-facing systems, including observability, on-call structures, incident management, and post-incident improvement
Strong technical judgment
across modern client and backend architectures — able to guide architectural decisions, evaluate platform bets, and resolve cross-team technical risks without being in the code every day
Comfort leading distributed teams across time zones
Preferred Qualifications
Experience in
online gaming or other highly regulated industries
, including familiarity with certification and compliance processes
Experience leading teams building
high-end mobile applications
, and with content management or personalization systems
Track record of
driving cross-organization initiatives
— planning process redesigns, platform migrations, or automation programs adopted beyond your own teams
Background in startups or high-growth environments where products went from zero to market-leading
Ready to build the future of sports betting? If you possess some of these skills but not all of them, we still encourage you to apply!
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-KR1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$193,800
—
$318,750 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: New York, NY, United States
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
About the Team
Fanatics Markets is the real-money prediction and trading app where you can invest in moments you care about. Built on a secure platform, we let users predict real-world outcomes and trade on events they actually follow — from sports and entertainment to political elections and beyond. Our mission is to redefine how fans engage with the moments and markets that matter most. We're looking for the right people to help us build the future of prediction markets.
Overview
As a Sr. Staff Mobile Engineer, you'll be a defining technical voice on a multi-platform app built on Kotlin Multiplatform, shipping across Android, iOS, and additional targets from a shared codebase. You'll combine strategic thinking with hands-on execution — leading architecture decisions, setting engineering standards, and guiding engineers across the organization. Your impact will extend well beyond your immediate team, shaping how we build across platforms at scale and influencing the long-term direction of our mobile engineering practice.
Our engineering strategy centers on KMP and Compose Multiplatform to deliver high-quality, consistent experiences across platforms. At this level, you won't just work within that strategy — you'll help define and evolve it.
Responsibilities
Own the multiplatform engineering strategy across Android and shared KMP layers — setting technical direction for the team and influencing architecture decisions across the broader mobile organization
Lead end-to-end execution of complex, multi-quarter features and systems, from architecture and design through deployment and continuous refinement across multiple platform targets
Define and enforce engineering principles and best practices across Android and KMP surfaces, raising the standard for the entire mobile organization
Drive architectural decisions across a layered, multi-module KMP codebase — establishing patterns for shared business logic, Compose Multiplatform UI, and cross-platform state management that scale across teams
Partner with shared platform teams to shape contracts, shared standards, and a unified UI component library that works consistently across platforms and product lines
Drive high-impact technical decisions in close partnership with product, design, and executive stakeholders — balancing immediate business goals with long-term scalability
Champion software quality, testability, operational metrics, and build system health across the organization, holding teams to a higher standard
Mentor and grow engineers at all levels, providing technical coaching that compounds across teams and fosters a culture of continuous learning
Lead incident resolution as part of the on-call rotation and proactively remove cross-team blockers to maintain momentum on complex, multi-platform projects
Model rigorous code reviews that elevate standards across the codebase and influence how the broader team approaches quality
Experience and Skills
10+ years of experience building highly scalable, consumer-facing Android applications with a strong track record of sr. staff-level technical leadership and cross-platform ownership
Expert-level Kotlin — deep mastery of coroutines, flows, language idioms, and best practices; proven ability to drive standards and mentor engineers at all levels
Deep KMP fluency — hands-on experience developing and scaling shared business logic in a large, multi-module KMP codebase, with the ability to lead others and define the path forward
Strong command of MVI and reactive architecture patterns across Android and shared KMP layers, with experience applying them consistently at scale
Gradle and build system expertise — multi-module projects, convention plugins, dependency management, and build performance in large codebases
Experience with CI/CD pipelines, SDK versioning strategies, and automated release management across mobile platforms and libraries
Hands-on experience with Compose and Compose Multiplatform, with deep knowledge of Android platform best practices, design system standards, and end-user considerations
Proven ability to communicate complex technical decisions clearly to engineers, executives, and non-technical stakeholders
Strong track record of driving Agile/SCRUM process improvements and delivery excellence across teams in fast-moving, large-scale environments
Team-first mentality with the drive to raise the bar continuously
Strong Desired
Compose Multiplatform experience across Android, iOS, desktop, and additional targets
Experience with KSP-based codegen, Koin, or similar DI patterns in a KMP environment
Familiarity with feature flag systems, mobile observability tooling, and platform integration patterns
Familiarity with distributed systems and event-driven architect
Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process.
For information about our benefits, please visit
https://benefitsatfanatics.com/
#LI-Remote
#LI-AL1
Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit
https://benefitsatfanatics.com/
Salary Range
$204,250
—
$268,750 USD
By submitting your application, you agree to our terms of service and acknowledge you have read our
Candidate Privacy Policy.
Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it
here
.
Location: Lithuania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: Romania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: United Kingdom (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the United Kingdom, the Base compensation range for this role is GBP
103,958
- GBP
124,750
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Germany (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Germany, the Base compensation range for this role is EUR
100,000
- EUR
125,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Republic of Ireland (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the Republic of Ireland, the Base compensation range for this role is EUR
107,000
- EUR
134,000
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Sweden (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Sweden, the Base compensation range for this role is SEK
878,578
- SEK
1,054,294
. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed
here
.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Spain (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in Spain, Sweden, UK, Ireland or Germany.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Staff-level Backend Engineer to help build the first production services for this context layer management system. You will design and ship the core backend architecture that powers ingestion, context storage, retrieval APIs, and agent-facing integrations. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Build the core backend services: Design, implement, test, and operate the first services for context ingestion, context indexing, retrieval orchestration, API access, source configuration, and system administration.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and service interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve relevant context, provenance, confidence signals, and warnings.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making UI design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with LLMs, prompt engineering, and building applications powered by GenAI.
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building or working with agent frameworks or multi‑agent workflows.
Experience as a data analyst or work with data platforms (e.g., Looker, Tableau, PowerBI, Snowflake, DataBricks)
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Spain, the Base compensation range for this role is EUR
94,025
- EUR
112,830
. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Ukraine
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Riyadh, Saudi Arabia; Hoyland, United Kingdom; Lusail, Qatar
headDubai, United Arab Emirates
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Milan, Italy; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Atlanta, GA (Hybrid)
New York, NY, United States; , ideally across multiple geographies and time zones; Comfort leading distributed teams across time zones
seniorNew York, NY, United States
seniorLithuania
seniorRomania
seniorUnited Kingdom (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorGermany (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorRepublic of Ireland (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSweden (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorSpain (Remote); Ownership and impact: Take full ownership of the AI solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
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