Location: Bogota
Are you a curious, proactive Law student eager to gain experience at a m
ultinational before graduating?
Join Betsson as a
Legal Intern
and turn your studies into hands-on experience, learning from legal professionals while supporting the business.
The Wow
Get a behind-the-scenes look at how a Legal team helps a global business move forward.
You’ll have the opportunity to ask questions, contribute ideas, and build your confidence as you take your first steps in your legal career.
A taster of what you will be involved with:
Support the preparation, review, and administration of contracts, agreements, and legal documentation.
Maintain accurate and organized legal records, ensuring documentation is easily accessible and up to date.
Assist with contract tracking, renewals, and document management processes.
Collaborate with internal stakeholders to gather information and documentation required for legal matters.
Conduct legal research and summarize findings to support the team on various projects.
Help monitor compliance with internal policies and legal requirements.
Support the continuous improvement of legal processes, templates, and documentation practices.
Provide general administrative and operational support to the Legal team as required.
What we are looking for
You are currently
pursuing a Law degree,
ideally in the final years of your studies.
You have a strong interest in corporate, commercial, employment, or general business law.
You are highly detail-oriented and take pride in producing accurate, high-quality work.
You have a process-focused mindset and enjoy working in a structured and organized way.
You are proactive, curious, and eager to learn from experienced professionals.
You handle confidential information with professionalism and discretion.
English language skills are considered an advantage.
Intern modality
40 hours per week
Nice-to-have
Basic knowledge of contract management or legal documentation.
Good working knowledge of Microsoft Office tools, particularly Word and Excel.
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: London
Workplace: hybrid
Creatio is an AI CRM and workflow platform where people and AI agents work together — with no limits on users, agents, or scale. We help midsize and large organizations run customer workflows in the AI era. Headquartered in Boston, MA, with a global team and a large ecosystem of partners, Creatio serves thousands of customers in over 100 countries and automates tens of millions of workflows daily. Genuine care for our clients and partners is at the heart of our DNA.We’re proud to be recognized by top industry analysts as a Leader and Strong Performer in multiple Gartner and Forrester reports.In 2025, Creatio was named to Inc.’s Best Workplaces list, recognizing our commitment to employee wellbeing and a strong workplace culture.Who We’re Looking For:The Delivery Success Executive (DSE) owns an assigned portfolio of customers and is accountable for both successful delivery and long-term commercial growth. The role combines portfolio management and delivery governance with deep product expertise and a clear commercial mandate: retention and expansion. As trusted advisors, DSEs use expert-level knowledge of the Creatio platform to validate approaches, guide best practices, and ensure every solution is aligned with customer needs, and delivering measurable business value.The role is based in London.Responsibilities:Product Expertise: Serve as a product knowledge carrier for the assigned portfolio, demonstrating expert-level understanding of the Creatio platform and its ecosystem.Proactively advise customers and partners on optimal solution approaches and platform capabilities.Help customers achieve their desired business outcomes through strong product adoption, value realization, and high ROI.Portfolio & Project Management: Own an assigned portfolio of customers, overseeing their implementation projects and ongoing engagements.Monitor progress, risks, and dependencies across projects to ensure alignment with agreed standards and commitments.Delivery Governance & Assurance: Enforce delivery standards, methodologies, and reporting frameworks across the portfolio.Control and audit delivery processes, identifying early red flags to prevent delivery and launch-related issues.Conduct portfolio-level reviews to validate outcomes, quality, and readiness for go-live.Risk & Solution Oversight: Work closely with Delivery Assurance Architects to validate both technical and functional aspects of solutions.Identify risks across the portfolio and drive mitigation strategies.Knowledge & Best Practices: Capture lessons learned, integrate them into the Center of Delivery Excellence framework, and mentor team members and partners.Customer Success & Commercial Growth: Develop a deep understanding of customers' business priorities and proactively identify opportunities to support their long-term success.Grow the customer portfolio through strong retention, zero churn, and active cross-sell and upsell.Collaborate closely with internal Sales, Delivery, Support, Product, and Partner teams to ensure a consistent customer experience.Customer & Partner Engagement: Act as the key contact and trusted advisor for customer executives across the assigned portfolio, communicating effectively with stakeholders at every level, including C-level.Provide portfolio-level visibility and transparency through governance meetings and reporting.Requirements:Proven experience in program/portfolio management across multiple projects.3+ years in B2B Customer Success, Account Management, or Project Management with enterprise accounts.Proven track record of driving adoption and value realization, and supporting retention and account growth (renewals, cross-sell, upsell).Deep Creatio platform expertise (functional and technical) and knowledge of competing low-code/no-code platforms.Ability to conduct high-level solution estimations and guide teams in applying best practices.Strong client-facing and stakeholder management skills, including communication at CxO level.Ability to navigate complex customer organizations, coordinate multiple stakeholders, and drive issues to resolution.Structured thinking, flexibility, and strong result orientation.Fluent English (required); additional languages may be required based on geography.Nice to have: experience taking part in commercial negotiations and renewal discussions. Ability to travel for customer meetings and onsite engagements as needed.What you should expect from us:Growth & Development: Clear career paths, mentorship opportunities, and access to continuous learning to help you reach your full potential.Flexibility & Well-Being: We provide flexible work arrangements and initiatives that empower you to manage your schedule effectively, stay productive, and thrive both personally and professionally.Recognition & Impact: A culture that celebrates achievements, values your ideas, and empowers you to make real contributions from day one.Innovative Culture: Be part of a company that embraces new ideas, modern technologies, and bold thinking to stay ahead of the curve.Benefits & Rewards Package: We provide competitive compensation and benefits designed to support you and your family. Our rewards approach goes beyond salary, recognizing your contributions and commitment. The exact package may vary depending on your country of residence and employment type.
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact.
You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role.
WHAT YOU'LL ACHIEVE:
- Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion
- Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business
- Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals
- Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews
- Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion
- Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered
- Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system
- Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base.
- Set the bar for product and AI fluency across the team and ensure your team masters Notion’s product and maintains an expert-level knowledge of the AI ecosystem.
SKILLS YOU'LL NEED TO BRING:
- Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment
- Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans
- Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows
- Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy
- Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes
- Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts
- You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems
- You’re obsessed with AI, constantly building with the newest tools and learning new ways of working
- Fluent in German & English
NICE TO HAVES:
- Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software
- Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path
- Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams
- Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €94,000-€105,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: Remote-Friendly, United States
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Training and serving frontier AI models requires compute infrastructure at a scale and density that pushes past what conventional data center designs were built to handle. The loads involved are large enough — and arrive fast enough — that utility supply alone often can't meet the need on the timeline required, and the step-load behavior of large accelerator clusters creates power-quality and ride-through demands that conventional backup-generation designs weren't built for. Anthropic's Data Center Infrastructure team is responsible for solving that problem: delivering facilities that can be energized early, ride through grid disturbances, and present a well-behaved load at the point of interconnection (POI).
As a Data Center Power Generation & Microgrids Engineer, you'll own the behind-the-meter generation and storage architecture for Anthropic's data center portfolio. That means the on-site generation fleet — reciprocating engine gensets, gas turbines, fuel cells — and the battery energy storage systems that buffer load steps and provide ride-through. It means the microgrid layer that ties them together: islanding and resynchronization, black-start, load-shedding, and generation dispatch. And it means the grid side: interconnection studies and agreements, IEEE 1547/2800 compliance, and power quality at the point of interconnection. You'll also own our temporary- and bridging-generation strategies — the plans that let a site energize and start serving load before permanent utility service is available, and transition cleanly once it is.
This is a deeply cross-functional role. You'll work closely with colleagues across the infrastructure team on where and how generation and storage tie into the site electrical distribution, controls, and SCADA, and with our hardware and compute teams to understand the load characteristics you're designing against. You'll be Anthropic's technical counterpart to on-site generation providers, BESS integrators, utilities, and ISOs/RTOs. Expect roughly 20–35% travel for design reviews, factory witness testing, and site startup.
Responsibilities
On-site generation engineering
Own Anthropic's behind-the-meter generation architecture across the portfolio — prime-mover selection and sizing (reciprocating engines, gas turbines, fuel cells), paralleling topology, redundancy, fuel systems, and emissions controls — and maintain the generation basis of design and technical specifications that build partners and generation providers design against
Set the day-one vs. day-N plant sizing and expansion strategy — what the plant needs on day one so it can be expanded or augmented later, and how to add units, storage, or a grid tie to a system already running
Characterize the data center load for external generation partners — step changes, ramps, oscillation, fault behavior, and non-IT load — so providers can size and tune their plant against the real duty
Model generation response against the load profile of large-scale ML training — step-load acceptance, block loading, transient frequency and voltage response, load rejection — and set the acceptance criteria (e.g., per ISO 8528-5) that generation packages are tested against
Develop temporary- and bridging-generation strategies that deliver early site energization ahead of permanent utility service, including the sequencing, protection, and controls changes needed to transition from temporary to permanent power without stranding equipment or capacity
Ensure generation designs meet NFPA 37, NFPA 110 where the plant provides emergency or legally required standby power, fuel-gas and fuel-storage codes (e.g., NFPA 54, NFPA 30), and applicable emissions requirements, and coordinate with environmental and permitting counterparts on the technical inputs to air permits
Energy storage & microgrid architecture
Size and specify battery energy storage systems for ride-through, step-load buffering, and power-quality support — including cell chemistry and enclosure selection, inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A large-scale fire test data, and NFPA 855 installation requirements — and own the thermal and fire-protection interfaces
Define the site microgrid topology and operating modes — grid-parallel, islanded, and black-start — and the transition logic between them, including load-shedding schemes, resynchronization criteria, and the conditions under which the site separates from and reconnects to the utility
Specify the functional requirements for the microgrid controller — generation dispatch, set-point coordination across rotating and inverter-based sources, mode management — and drive its implementation, testing, and integration into site SCADA and the electrical power monitoring system (EPMS)
Help define the protection and control requirements for generation and storage sources so that interconnection protection, anti-islanding, and source-transfer schemes are consistent from the generator terminals through the point of interconnection
Grid interconnection & power quality
Lead the technical side of utility interconnection for sites with on-site generation or storage — interconnection applications, studies, and agreements, ISO/RTO processes, IEEE 1547/2800 compliance, and interconnection protection
Own power quality at the point of interconnection — flicker per IEEE 1453, harmonics per IEEE 519, voltage regulation, reactive-power and power-factor requirements — and design the generation, storage, and filtering mitigations needed to keep the site within its interconnection limits under real training-load behavior
Run or critically review the power-system studies that support interconnection and microgrid design — load flow, short-circuit contribution from rotating and inverter-based sources, transient stability, motor-starting and step-load studies, and electromagnetic-transient studies where inverter controls matter
Vendor diligence & delivery
Lead technical due diligence on on-site generation providers, BESS integrators, and microgrid-controller vendors — evaluating equipment and controls on engineering merit, stress-testing performance and availability guarantees, and reviewing proposed architectures against Anthropic's basis of design
Define the technical performance terms in energy-services agreements with on-site generation providers — availability, power quality, ramp, and ride-through, each with a definition, meter, test protocol, and acceptance criteria — working with energy commercial and legal counterparts
Review and disposition design packages, submittals, shop drawings, and deviation requests from generation providers and their EPCs, and hold partners to Anthropic's reliability and maintainability requirements
Support commissioning of generation, storage, and microgrid systems — witnessing factory and site acceptance tests, defining and observing integrated systems tests (islanding, resynchronization, black-start, load-step), and resolving field issues against design intent
Manage concurrent generation and microgrid scopes across multiple sites, and contribute to the continuous improvement of Anthropic's generation and interconnection design standards as the portfolio and the technology both evolve
You may be a good fit if you
Have 10+ years of engineering experience in power generation, microgrids, battery energy storage, or utility interconnection, with substantial time spent on on-site or distributed generation for mission-critical, data center, or large industrial loads, and deep hands-on delivery experience in at least one of these areas (generation, storage, microgrids, or interconnection)
Have deep hands-on experience with one or more generation technologies — reciprocating engine gensets (diesel and natural gas), gas turbines, or fuel cells — including sizing, paralleling, fuel systems, and emissions controls
Understand the thermal generation asset classes — reciprocating engines across the size range (sub-MW through 10–20 MW units), small- and medium-frame combustion turbines, and combined cycles — and how each responds to fast load changes and holds stable islanded operation
Understand battery energy storage sizing for a defined duty (ride-through, load-step buffering, peak shaving), inverter selection (grid-forming vs. grid-following), UL 9540 listing, UL 9540A test data, and NFPA 855 installation requirements
Understand microgrid architecture end to end — islanding detection and transition, resynchronization, black-start, load-shedding, and generation dispatch
Are fluent in interconnection standards and processes — IEEE 1547, IEEE 2800, utility interconnection requirements, and ISO/RTO study and queue processes
Are comfortable running or critically reviewing power-system studies — load flow, short-circuit, transient stability, and power quality — in tools such as ETAP, SKM, PSS®E, PSCAD, or EasyPower
Hold a bachelor's degree in Electrical Engineering, Power Engineering, or a closely related field, or have equivalent practical experience; Professional Engineer (PE) licensure is valued but not required
Have worked directly with generation OEMs, BESS integrators, generation-as-a-service providers, or utilities, and can evaluate equipment and proposals on technical merit rather than datasheet claims
Communicate clearly with technical peers, utilities, regulators, and non-specialist stakeholders, and are results-oriented with a bias toward practical solutions and a willingness to pick up work outside your core remit when the team needs it
Strong candidates may also have
Designed or delivered battery energy storage systems at MW scale
Specified or commissioned a microgrid controller for a site that can island and resynchronize
Taken at least one large load or generation interconnection from application through agreement
HV/MV substation design experience — main one-line development, equipment specification, grounding, and layout — since on-site generation and storage tie in at the substation and the two scopes are tightly coupled
A protection-engineering background covering generation and interconnection protection — relay selection and settings, anti-islanding schemes, and coordination between on-site sources and utility protection
Experience integrating renewable generation (solar PV, wind) with storage into hybrid behind-the-meter plants
Experience on the technical side of air permitting for stationary generation (e.g., Title V, NSR/PSD, or state equivalents) and emissions-control equipment selection
Electromagnetic-transient (EMT) modeling experience in PSCAD or EMTP for inverter-based resource and microgrid-transition studies
Direct experience with data center, hyperscaler, or other large-campus microgrids, or at a generation provider, BESS integrator, or developer serving those customers
A track record of authoring generation or interconnection reference designs or standards that were adopted across multiple sites or by external partners
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Remote - USA
Workplace: Remote
Growth GTM Engineering sits at the intersection of marketing strategy, revenue generation, data, and automation, turning market intelligence and buyer insight into repeatable growth opportunities for Chainalysis.
Chainalysis is seeking a Growth GTM Engineer to build and scale the workflows, systems, and outbound strategies that help our Sales teams engage the right customers at the right time. This is not a traditional demand generation or marketing operations role. Growth GTM Engineers are hands on builders who own the full lifecycle of a growth play, from identifying an opportunity and developing a hypothesis through workflow creation, experimentation, and measurable commercial impact.
The role combines growth marketing, account based strategy, data enrichment, AI, and sales enablement. You will work directly with Sales to identify promising markets, uncover buying signals, map buying committees, and turn these insights into targeted outbound plays. Using Clay, AI, and connected data workflows, you will give sellers the context and tools they need to engage prospects more effectively.
Success requires strong marketing judgement, technical curiosity, hands on workflow building experience, and the ability to connect automation to real commercial outcomes.
In this role, you’ll:
• Identify promising market segments, buying situations, and account level triggers in partnership with Sales.
• Develop targeted outbound plays, defining the audience, buyer problem, messaging, offer, seller action, and success criteria.
• Build, own, and optimise Clay tables and research workflows, connecting enrichment, signal detection, account research, and contact discovery.
• Use AI to interpret market signals, classify accounts, and generate relevant research and messaging inputs.
• Map key accounts and buying committees, providing sellers with clear, evidence based insights and recommended actions.
• Work directly with Sales teams to test outbound plays, gather feedback, measure performance, and determine what to scale or refine.
• Establish quality controls and source references to ensure research and AI generated outputs are accurate and trustworthy.
• Turn successful experiments into reusable workflows, signals, audience logic, and play templates.
• Connect outbound strategies with ABM, paid media, and lifecycle marketing initiatives.
• Partner with RevOps on CRM integrations, sales tooling, tracking, and workflow governance.
We’re looking for candidates who have:
• Experience building B2B outbound, growth marketing, demand generation, or account based marketing programmes.
• Strong marketing judgement across segmentation, buyer problems, positioning, and messaging.
• Hands on experience with Clay or similar data enrichment and workflow automation platforms.
• Practical experience using AI for research, classification, personalisation, and decision support.
• A track record of working directly with Sales teams to turn growth ideas into executed outbound plays.
• Experience identifying buying signals, researching accounts, and mapping buying committees.
• The ability to distinguish verified evidence from assumptions and evaluate results critically.
• A commercially minded approach, connecting growth activity to meetings, opportunities, and pipeline.
Required Skills:
Growth Marketing and GTM Strategy
• Understanding of B2B go to market strategies, outbound motions, demand generation, and ABM.
• Ability to identify high value segments and translate buyer insight into targeted growth plays.
• Experience developing messaging and value propositions for specific audiences.
Technical and Automation Skills
• Hands on experience with Clay or comparable enrichment and automation platforms.
• Experience connecting data sources, research workflows, and automation tools.
• Practical use of AI for research, personalisation, and interpreting information.
• Ability to structure data, troubleshoot workflows, and maintain data quality.
Sales Partnership and Execution
• Proven ability to work closely with Sales teams to develop and execute outbound strategies.
• Ability to translate account insights into clear seller context and actionable recommendations.
• Experience gathering feedback, improving adoption, and measuring commercial impact.
Day to Day Activities
• Identify growth opportunities through market research, buyer signals, and Sales feedback.
• Build and maintain Clay tables for account enrichment, contact discovery, research, and prioritisation.
• Develop AI powered workflows that generate accurate account insights and seller context.
• Create and launch targeted outbound plays with Sales teams.
• Analyse performance across engagement, meetings, opportunities, and pipeline.
• Refine, scale, or retire workflows based on results and seller feedback.
• Develop reusable research components, signals, and play templates.
• Work with RevOps on Salesforce integrations, tracking, and governance.
• Document workflows and best practices to support adoption across teams and markets.
Personal Attributes
• Builder mentality, enjoys getting hands on with tools, data, workflows, and automation.
• Commercially minded, focused on generating meaningful sales conversations, opportunities, and pipeline.
• Naturally curious about buyer behaviour, market dynamics, and emerging technologies.
• Analytical and evidence driven, with strong attention to research quality and accuracy.
• Experimentation focused, comfortable testing ideas and learning from results.
• Collaborative and confident working directly with Sales and cross functional teams.
• Self starter who takes ownership and thrives in a fast paced environment.
• Excited by the potential of AI, automation, and connected data to transform go to market strategies.
Nice to have experience:
• Experience with Salesforce, Marketo, Demandbase, Goldcast, or Qualified.
• Familiarity with sales engagement platforms and outbound sequencing tools.
• Experience with APIs, webhooks, SQL, or data integrations.
• Experience connecting outbound, ABM, paid media, and lifecycle marketing programmes.
• Familiarity with data governance and research quality controls.
AI at Chainalysis
AI is not a feature at Chainalysis - it is a new way of working. One that turns instructions into work done, and helps us move faster than the threats we're built to counter, and we expect our employees to take ownership of the output and ensure quality. As the world's most trusted blockchain analytics platform, Chainalysis sits at a rare intersection of proprietary data, regulatory relationships and crypto expertise that makes it uniquely placed to shape and lead the next era of AI-driven intelligence - and we expect everyone here, regardless of role, to be an active part of it.
AI fluency is tied directly to how we measure performance and how we plan to win. There is no substitute for your own curiosity. We provide the tools, workflows, and space to experiment - but the expectation is that you develop these capabilities yourself, bring ideas, and collaborate across teams to reinvent the way work gets done. We are not using AI to do less. We are using it to do what was never possible before.
About Chainalysis
Chainalysis is the blockchain data platform, making it easy to connect the movement of digital assets to real-world services. Powered by deep blockchain data and AI, organizations can investigate illicit activity, manage risk exposure, and develop innovative market solutions built on the industry's most trusted blockchain intelligence. Our mission is to build trust in blockchains, blending safety and security with an unwavering commitment to growth and innovation.
You belong here.
At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture.
We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here https://go.chainalysis.com/rs/503-FAP-074/images/Interview%20Accommodations%20Request.pdf. We can’t wait to meet you.
Location: Dublin, Ireland
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE
Notion is reimagining how customers adopt, expand, and realize value from software in an AI-native world. As an Outcomes Architect, you’ll be the build-beside partner who helps customers turn AI ambition into working systems inside Notion. You’ll own workflow adoption, value delivery, and renewal outcomes for a book of named accounts, with a focus on customers that are flat, at-risk, or need a stronger path to measurable impact.
You’ll partner closely with Solutions Consultants on account strategy, expansion qualification, and planning, while directly shaping outcomes that strengthen customer partnerships and contribute to predictable revenue. If you’re someone who loves helping customers build workflows that solve real business problems—and you want to work at the intersection of AI, productivity, customer value, and revenue impact—this is the role.
WHAT YOU'LL ACHIEVE:
- Drive workflow adoption and value realization for a book of named accounts ensuring your customers know how to deliver outcomes with Notion
- Contribute directly to NRR with predictable renewal and expansion pipeline and proactive product adoption for your book of business
- Partner closely with Solutions Consultants on strategy for expansion and renewal for shared accounts, including owning the commercial opportunity for flat and at-risk renewals
- Define and maintain mutual success plans that proactively guide customers through their AI Transformation and demonstrate ROI to executive-level stakeholders with periodic business reviews
- Facilitate use-case consultations that guide customers through their continuous Solutions Design and identify new workflow opportunities that drive outcomes and increase value with Notion
- Identify opportunities to engage Services for customers with complex or technical implementation needs and partner closely with the Services team throughout delivery to ensure successful outcomes and value delivered
- Learn Notion’s product and the broader AI ecosystem inside and out so you can be best suited help customers navigate new ways of working and build durable systems in Notion as the underlying system
- Help build and deliver OA programs that generate customer and business outcomes across Notion’s install base.
- Set the bar for product and AI fluency across the team and ensure your team masters Notion’s product and maintains an expert-level knowledge of the AI ecosystem.
SKILLS YOU'LL NEED TO BRING:
- Experience driving customer adoption, value realization, renewals, or expansion within a B2B software environment
- Strong customer-facing discovery instincts, with the ability to understand business problems, map workflows, and translate goals into practical implementation plans
- Technical fluency and presence as a trusted advisor—while you won't be building for your customers, you should be capable of co-design, configuring, and troubleshooting Notion workspaces and workflows
- Commercial awareness and the ability to partner with account owners on renewal risk, expansion potential, and account strategy
- Ability to design and help customers build workflows that drive usage based consumption, connecting adoption patterns to measurable commercial outcomes
- Strong program and stakeholder management skills, with the ability to manage success plans, timelines, risks, and customer commitments across a book of accounts
- You operate with agency, urgency, and customer empathy, bringing structure to ambiguous problems and helping teams move from ideas to working systems
- You’re obsessed with AI, constantly building with the newest tools and learning new ways of working
NICE TO HAVES:
- Prior experience in customer success, solutions consulting, implementation, technical account management, or post-sales strategy for productivity, collaboration, or workflow software
- Experience working with flat, at-risk, or complex renewal accounts and helping customers return to a clear value path
- Experience partnering in a shared account ownership model with sales, solutions, support, or implementation teams
- Experience designing repeatable customer programs, playbooks, or interventions that improve retention, expansion, and adoption at scale
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, and may vary from the range provided below. The estimated range for total on target earnings (including base salary and on target incentive pay) for this role is €115,000-€128,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDE and an FDX,
Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs.
Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution.
Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails. You'll have real ownership of components and of the technical decisions inside them.
Requirements:
Mindset
Proactive and self-directed; you push for clarity rather than waiting for a ticket
Excellent communication and problem-solving skills
Comfort with ambiguity and ownership.
B2+ English, comfortable collaborating across distributed, multicultural teams.
Technical depth
5+ years in software or ML engineering, with production systems you were accountable for.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes.
Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks.
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production.
Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive.
Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus.
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines.
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release.
Model and agent monitoring, drift detection.
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs.
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus.
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus.
Nice to Have:
Experience in one of the industries: financial services, insurance, healthcare.
Consulting, professional services, or other embedded customer-facing delivery.
AWS and Claude Code Certifications
A2A: you can explain agent-to-agent interoperability
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines.
Experience in an additional language (Go, TypeScript, or Rust).
Experience with Apache Spark, Apache Airflow, Kafkа
Responsibilities:
Work in a pair with an FDE and an FDX.
Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions).
Build and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Integrate AI components into backend services and RESTful APIs
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection
Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints
Participate in technical discussions and architectural decisions
Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability
Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops.
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside FDE and FDX
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
— Act as a trusted strategic advisor to the Chief Product and Business Officer (CPBO) and executive leadership team. — Lead organizational design initiatives to integrate Product and Business into a unified, high-performing organization.
seniorBerlin; ✈️ Relocation: Visa support and relocation package available; Relocation package and visa support
Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland
Workplace: remote
Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: North Macedonia; Montenegro; Moldova; Bulgaria; Czechia; Bosnia and Herzegovina; Croatia
Workplace: remote
Provectus is an
AWS Premier Partner
and an
Anthropic Strategic Partner
, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide.
Our work centers on two verticals —
Financial Services & Insurance
and
Healthcare & Life Sciences
— where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture.
Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements.
Where this role sits
You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize:
Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction.
Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered.
What You’ll Do:
Take the seat
Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles.
Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow.
Build
Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases
Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design.
Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer.
Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client.
Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from.
Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team.
Own the outcome.
Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number.
Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here.
Be credible with the customer’s engineers and their executives.
Shape what we commit to before we commit to it.
What You’ll Bring:
Mindset
Proactive and self-directed; identify problems before they're handed to you
Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
B2+ English, comfortable collaborating across distributed, multicultural teams
Client Engagement
You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code
Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them
You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run
Technical depth
7+ years building and running production systems.
Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes
Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks
Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure
Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks.
Experience building and optimizing RAG systems in production
Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack.
Experience in making and defending architectural trade-off decisions
Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus
Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines
You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release
Model and agent monitoring, drift detection
Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs
Hands-on production experience with the Claude ecosystem — Claude Code, CLAUDE.md, hooks, skills files. Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus
MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus
Nice to have:
Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
Experience in one of the industries: financial services, insurance, healthcare
Consulting, professional services, or other embedded customer-facing delivery
A2A: you can explain agent-to-agent interoperability
AWS and Claude Code Certifications
CI/CD pipeline experience (GitHub Actions, GitLab CI)
Experience in an additional language (Go, TypeScript, or Rust)
Experience with Apache Spark, Apache Airflow, Kafkа
What We Offer:
The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment
A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers
A growing AI delivery practice where you help build the tooling and frameworks, not just use them
Remote-friendly culture
Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance
Career growth; we actively develop our engineers
Access to the latest AI tools and premium subscriptions
Long-term B2B collaboration
Private medical insurance or a budget for your medical needs
Paid sick leave, vacation, and public holidays
Equipment and all the tech you need for comfortable, productive work
How we hire:
Intro conversation. The role, your background and aspirations, tech questions.
Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant
HR Interview. Soft skills and expectations
HM interview. Tech questions; a live engineering session is also possible
Location: US
About Aidoc
Aidoc is the market leader in healthcare AI and has developed the world's largest clinical frontier model, supporting nearly 50 million patients each year.
Aidoc is deployed in more than 2,000 medical centers worldwide. Since our founding in 2016, Aidoc has raised over $500 million and achieved a record number of FDA-cleared solutions.
Medical diagnosis is hitting a breaking point, where the number of physicians hasn't kept up with the rapidly growing patient load. This leads to misdiagnosis and treatment delays that result in hundreds of thousands of deaths every year. Aidoc assists clinicians by precisely highlighting diseases directly on medical images, preventing misdiagnosis and ensuring that urgent patients receive the immediate attention they need.
About this role
AI is changing what’s possible in radiology. You’ll help define how radiologists and radiology leaders understand that change, and why they choose Aidoc.
As our Director of Radiology Product Marketing, you will own the market strategy, positioning and go-to-market execution for our Radiology business, spanning established diagnostic AI solutions and emerging capabilities in comprehensive interpretation and AI-generated reporting.
This is a strategic, hands-on role for an experienced healthcare product marketer who combines strong commercial judgment, technical curiosity and the ability to quickly master complex clinical domains. Experience in radiology and imaging technology is a significant advantage. You will bring customer insight, competitive strategy and strong storytelling to strengthen our business today and shape how we bring the next generation of AI to market.
Working closely with Product, Sales, Customer Success and Marketing, you will turn market understanding into product recommendations, differentiated positioning and effective commercial execution.
Responsibilities
Radiology positioning and messaging:
Own the value proposition and differentiation for Aidoc’s Radiology offering. Translate diagnostic capabilities, workflow innovation and emerging AI-generated interpretation into clear clinical and operational value.
Customer and workflow insight:
Build firsthand understanding through customer visits, reading-room observation and field engagement. Identify unmet needs, adoption barriers and changing priorities, and use those insights to inform product and go-to-market decisions.
Competitive strategy:
Track competing solutions, workflow approaches, clinical evidence and regulatory status. Turn that understanding into sharper positioning, commercial guidance and product recommendations.
Product partnership:
Work with Product Management as capabilities develop to assess customer need, workflow fit, differentiation and commercial potential. Bring an independent market perspective, challenge assumptions and help identify evidence needed to support adoption.
Launch and go-to-market leadership:
Lead segmentation, messaging and launch strategy for new Radiology solutions. Partner with Marketing, Sales and Enablement on market preparation, customer engagement and commercial readiness.
Storytelling and commercial materials:
Personally develop presentations, messaging, talk tracks and competitive tools. Equip commercial teams with clear narratives and supporting evidence for customer discussions.
Customer and clinical leader engagement:
Build trusted relationships with radiologists, department leaders and key opinion leaders. Participate in strategic customer conversations, support competitive deals and represent Aidoc at industry events.
Requirements
7+ years of product marketing, product strategy or relevant commercial experience, preferably in healthcare technology, medical devices or clinical software. Experience in radiology, imaging informatics or medical imaging AI is a strong advantage.
Strong understanding of healthcare workflows, clinical and operational priorities, and technology buying decisions, with the ability to quickly develop expertise in radiology and imaging AI.
Strong product marketing expertise across positioning, messaging, customer discovery, competitive strategy and launches.
Technical fluency and curiosity, with the ability to understand imaging AI, foundation models, generative capabilities and workflow technology, and translate them into meaningful customer value.
A track record of turning direct customer engagement and competitive insight into product recommendations and commercial action.
Excellent writing, storytelling and presentation skills, including hands-on development of messaging, customer presentations and sales materials.
Strong strategic judgment and customer-facing credibility. Able to form an independent point of view, challenge assumptions and influence Product, commercial and executive stakeholders.
Highly independent and hands-on, with a track record of personally driving execution, moving quickly with limited resources and adapting to changing priorities.
Strong understanding of the U.S. healthcare market and willingness to travel regularly for customer and field engagement.
Bachelor’s degree in Marketing, Business, Life Sciences, Healthcare or a related field. Advanced degree preferred.
Working at Aidoc
We’re a dynamic, collaborative and fast growing team of more than 500 global employees, committed to improving the world of healthcare. We’re looking for mission-driven people excited to do transformative work.
We have offices in Barcelona, Tel Aviv and New York City, but Aidoc is a remote-first workplace.
What we offer:
A range of medical, dental and vision benefits
Stock options for all full-time employees
Flexible time off to enjoy the autonomy to take time off as needed to rest and recharge without vacation accrual limits, while coordinating with your manager and team to ensure business continuity and project goals are met.
A 401(k) plan with company match, life insurance, plus long- and short-term disability
The opportunity to directly improve medical care and impact patient outcomes
Aidoc is deeply committed to creating an inclusive workplace, and to the principle of equal opportunity for all individuals. We prohibit discrimination and harassment based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by law.
Location: Texas_Remote_Central; USA
Who we are…
Verra Mobility is a global leader in smart mobility. We develop technology-enabled solutions that help the world move safely and easily. We are fostering the development of safe cities, working with police departments and municipalities to install over 4,000 red-light, speed, and school bus stop arm safety cameras across North America. We are also creating smart roadways, serving the world's largest commercial fleets and rental car companies to manage tolling transactions and violations for over 8.5 million vehicles. And we are a leading provider of connected systems, processing nearly 165 million transactions each year across 50+ individual tolling authorities.
Position Overview
As a Project Manager, you will play a key role in providing world class support to our external clients and internal teams by managing the end-to-end implementation of contracted technical programs and ensuring they are delivered in a timely manner. No challenge will be too big, and no issue will go unsolved! You are responsible for tracking the status of all programs / projects as assigned by working with different stakeholders, managing customer expectations, providing status reports to management, active risk and issue management, and drive risks/issues/actions to closure. You will create and manage project plans, communicate schedules with different stakeholders and ensure successful delivery of all projects and tickets. You will work in a highly collaborative environment with a team that is geographically distributed. You will adhere to agile software development processes accepted by the organization. The candidate should have excellent analytical and interpersonal abilities and always looking to improve process and bring in efficiencies. Performs other duties as required.
Essential Responsibilities
Responsible for project management of assigned client implementations.
Partner with a cross-functional project team to deliver programs on time, on budget and according to contractual requirements.
Develop, distribute, and manage consolidated project plans, status reports, dashboards and communicate with stakeholders.
Actively manage risks, issues, actions, and dependencies through closure and communicate to maintain alignment.
Partner with the Account Management team to manage customer expectations through concise and timely communication.
Compile, track, and report on project financials throughout project lifecycle.
Works well in a team and is flexible in a fast-paced environment.
Ability to effectively manage time and shifting priorities for self and delivery team.
Qualifications
Minimum 2-5 years of project management experience in a fast-paced environment
Project Management Professional Certification (PMP) preferred, relevant industry experience and/or client implementation experience can be substituted
Bachelor’s Degree in Business, Computer Engineering or Management Information Systems Degree required
Experience in coaching, leading and influencing others
Excellent communication and interpersonal skills
Experience in managing projects and schedules using Microsoft Project
Must understand the agile development methodology, applicable roles, and processes
Experienced with Office products like Excel, PowerPoint to generate reports and dashboards
Experienced with tools like Azure DevOps, Jira, Confluence
Strong problem-resolution, analytical skills, and stakeholder management expertise
Flexible and adaptable about learning, task assignments, and learning new technologies
Some experience with Project Portfolio Management (PPM) tools like Planview, Mavenlink, etc.
Agile Scrum Software Development practices and tools preferred.
Where you’ll be working
In this remote role, you'll have the flexibility to work from home full-time, allowing you to create an optimal work environment. You’ll also have regular check-ins and team meetings scheduled through virtual platforms to ensure collaboration and support
Verra Mobility Values
An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values:
Own It.
We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation.
Do What’s Right.
We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous.
Lead with Grace.
We express humility and compassion, and we are authentic and candid. Our employees demonstrate self-awareness, care for others, instill trust, and communicate effectively.
Win Together.
We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others.
With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company.
Verra Mobility Applicant Privacy Notice
Verra Mobility is an Equal Opportunity Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Verra Mobility Values
An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values:
Own It.
We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation.
Do What’s Right.
We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous.
Choose Courage Over Comfort.
We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease.
Win Together.
We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others.
With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company.
Verra Mobility Applicant Privacy Notice
Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
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Location: London
Workplace: OnSite
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
At Checkout.com http://Checkout.com, we create marketing that moves people to choose our products, builds a brand where great marketers want to work, and fuels the growth of our business.
We’re looking for a GTM Engineer to join Marketing and help transform how we work internally. You’ll design and build AI-assisted workflows, agents and integrations that reduce manual effort, improve how information moves across the team and give marketers more time to focus on high-value work.
Marketing Operations Team owns our marketing technology and tools, and the automation that supports go-to-market execution across our channels. This role works alongside Marketing Operations, with a different starting focus: improving the internal processes, workflows and systems that help Marketing plan and deliver its work. The aim is to 10x our impact.
This is a hands-on technical role in a marketing team. You’ll spend around 70% of your time building: understanding how work gets done, finding where it is manual or breaking down, and shipping practical solutions. You’ll partner closely with Marketing Operations to make sure what you build fits our existing tools and standards.
You’ll work across Marketing, in close partnerships across Marketing Operations, Commercial AI Transformation and the AI Centre of Excellence. You’ll bring a clear technical point of view on what is scalable and reliable, while making sure the systems you build are useful to the people who need them.
HOW YOU’LL MAKE AN IMPACT
FIND THE PROBLEMS WORTH SOLVING
Work with teams across Marketing to understand their processes and the work behind their requests. Map workflows, identify manual effort, duplicated work, missing context and avoidable errors, then prioritise opportunities based on their potential value. You’ll use your creativity and judgement rather than simply build to a ticket.
BUILD AI-ASSISTED WORKFLOWS AND INTEGRATIONS
Create and ship agents, automations, skills and integrations that make internal marketing work easier. You might use Claude Enterprise, Copilot Studio, Clay, MCP connectors, coding agents or other tools across our marketing stack. Work with Marketing Operations when a solution involves our marketing technology or channel tools.
MAKE INTERNAL MARKETING WORK MORE EFFICIENT
Build workflows that help teams do the work behind marketing more efficiently, from briefing, research and insight gathering to planning, content development and hand-offs. Connect information and tools so people spend less time on repetitive coordination and more time on work that needs their expertise. Partner with Marketing Operations where workflows touch marketing technology or channel execution.
BUILD SYSTEMS PEOPLE CAN RELY ON
Design beyond the individual task. Consider the data, context, tools, users, hand-offs, controls and feedback loops a workflow needs to work well. Identify where information is missing, where an agent needs better direction or where teams need support to use and improve the system.
HELP MARKETERS BUILD WITH AI
Work alongside marketers to show what is possible and help them use AI with confidence. Create reusable patterns, skills, playbooks and guardrails so teams can solve more problems themselves and repeat good practice.
TEST, LEARN AND IMPROVE
Prototype and test workflows, learn from how people use them, and improve or retire them based on the results. Identify design, security, privacy, brand and scale risks early, and follow our AI governance and review processes.
KEEP UP WITH THE TOOLS
Stay curious about new models, coding tools, connectors and agent patterns. Be able to explain which tools are right for a particular job and why, whether you’re comparing Claude, ChatGPT, coding agents or emerging platforms.
WHAT WE’RE LOOKING FOR
YOU BUILD THINGS
You’ve made working automations, prototypes, integrations, agents, internal tools or products, and enjoy taking a messy problem through to something people can use. Your job title matters less than what you’ve built and the value it creates.
YOU USE AI HANDS-ON
You use LLMs to get work done, not just to talk about what they could do. You’re comfortable prototyping with AI coding tools, testing different approaches, debugging and improving the result. You can show us something you’ve built with Claude, Codex, ChatGPT or another LLM platform, at work or in your own time.
YOU HAVE SOUND TECHNICAL JUDGEMENT
You can reason about systems, APIs, data flows, permissions and failure modes. You understand the difference between a promising demo and a dependable workflow. You don’t need a traditional software engineering background, but you do need to be comfortable working directly with technical tools and making sensible implementation choices.
YOU UNDERSTAND MARKETING AND GTM
You understand how demand generation, growth, customer marketing, marketing operations, sales and revenue processes connect. You’re familiar with concepts such as campaign briefs, segmentation, ABM, lead scoring, MQLs, MQAs, pipeline, attribution and lifecycle stages. You’re interested in the business outcomes behind the work.
YOU’VE WORKED ACROSS MARKETING OR REVOPS TOOLS
You’ve built or supported workflows across platforms such as Salesforce, HubSpot, Asana, Clay or similar tools. You can think across a stack rather than optimise one tool in isolation, and you’re comfortable with connectors, APIs, webhooks or MCP-style integrations.
YOU KNOW HOW TO DESIGN USEFUL WORKFLOWS AND AGENTS
You can give a workflow the context it needs, choose the right tools, define hand-offs, involve people at the right points and make outputs easy to review. You understand that an agent’s performance depends on its data and operating environment as well as the model.
YOU PRIORITISE FOR VALUE
You can judge which problems are worth solving, which should remain manual and where a simpler answer will work better. You balance speed, quality, risk, maintainability and commercial impact, and can make a clear case for what to build next.
YOU MEASURE AND IMPROVE YOUR WORK
You’re comfortable defining success measures, tracking usage and output, and deciding what to improve, stop or scale. You care about measurable gains in productivity, quality, speed or business impact.
YOU THINK IN SYSTEMS
You look for the process behind the immediate pain point. When a spreadsheet is difficult to use, for example, you’re curious about the data, decisions and hand-offs that created it, and what would make the process work better. You can hold the bigger picture while working through the details needed to ship.
YOU COMMUNICATE CLEARLY AND BRING PEOPLE WITH YOU
You can explain technical ideas to marketers, commercial leaders, Product, Engineering, Security, IT and Operations in a way that helps them make decisions. You listen well, communicate simply and influence through your work and judgement.
YOU’RE CURIOUS AND SELF-STARTING
You’re comfortable with ambiguity and motivated to learn. You’ve taught yourself new tools, built something outside your formal remit or pursued a technical interest in your own time. A personal project, prototype, automation, community contribution or other example could show us how you learn.
YOU USE AI RESPONSIBLY
You understand that marketing systems need to be accurate, secure, explainable and aligned with our brand and company standards. You know when people need to review an output, when data should not be used and when an experiment is not ready to scale.
You might come from marketing technology, marketing operations, growth engineering, RevOps, automation engineering, product, full-stack engineering or another technical role close to commercial teams. What matters most is your curiosity about marketing, your judgement about what is worth improving and your ability to build practical solutions.
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
Location: Warsaw, Poland
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
At Wolt, you can grow your account management career with a fun and fast-scaling global business. Part of the DoorDash team, we’re building a global logistics platform that can deliver (almost) everything in your city, to your door in minutes. Today, our products are used by 55+ million registered users who can now order from 200,000+ restaurants and retail stores across 30+ countries around the world.
Our Account Management teams create and build our relationships with merchants. Together, we’ve helped big brands, local stores and neighborhood restaurants do over €15 billion’s worth of business through our platform. We’re constantly launching new cities and products, so there are always new opportunities to expand your skills and progress your career.
As our new Account Specialist you’ll play a key part in helping our retail partners succeed on the Wolt platform by building strong relationships, delivering top-tier client experience, and driving growth through data-driven insights and close collaboration with cross-functional teams.
What you’ll be doing
As an Account Specialist, you will drive the commercial growth and success of Wolt’s retail partners by delivering data-driven insights and strategic consultation. You will manage a portfolio of accounts, collaborate closely with cross-functional teams to build tailored promotional campaigns, and foster long-term merchant relationships.
Day-to-day in this role you’ll:
Partner growth by driving the commercial growth of existing retail partners through strategic, data-driven performance insights and consultation
Oversee a portfolio of retail partners, ensuring value creation across all stakeholders: partners, customers, couriers, and Wolt
Use data insights to identify opportunities for partners, propose tailored campaigns, and provide high-level consultation to boost results
Work closely with marketing to design and implement promotional activities that drive demand and maximize partner sales
Act as the key contact for appointed accounts, maintaining strong communication, running regular business reviews, and supporting expansion opportunities
Foster a positive, supportive work culture where people feel valued, engaged, and motivated to grow
Ensure smooth collaboration across functions to align goals and optimize partner performance
Contribute to building new structures and processes in a growing market, embracing the start-up mindset of rolling up your sleeves when needed
Our humble expectations
2 to 4 years of success in account management or B2B sales with clear commercial impact.
Strong analytical judgment and hands-on use of dashboards such as Looker or Power BI to make decisions.
Excellent relationship building and communication across a wide range of stakeholders.
High ownership and reliability. You manage your pipeline and determine methods for new work, offering guidance to others in a lead capacity when needed.
Bachelor’s degree or equivalent experience.
Proactive, structured, and detail-oriented with a high sense of responsibility and ambition
Team player with a service-oriented mindset and a “can-do” attitude
Fluent in Polish and English
What’s in it for you
🚀Global and growing fast:
Be part of a fast-moving scaleup
🤩Ride of a lifetime:
Accelerate your career and build your sales skills
💪Instant impact:
Take ownership and make a difference
💙Big hearts and small egos:
Surround yourself with smart, friendly people
What we offer
Private health insurance, with the option to cover your family too
Cafeteria benefits: monthly points to spend on fitness, shopping, cinema, and more
A paid day off for your birthday
Wolt Credits back on every order you make with Wolt, to spend on your next ones
Next steps
If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply, make sure to add your CV and get the conversation going!
We will be reviewing applications on an on-going basis. If this sounds like an opportunity you want to pursue, apply today! 💙
#LI-WM1
Compensation
The successful candidate's starting total target compensation (On-Target Earnings) for this role 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 compensation is composed of a percentage based split between base salary and variable pay (where the base salary represents a percentage of the total range below. Eligible employees may earn variable compensation if they meet 100% of their performance targets. Actual earnings may be higher if targets are exceeded or lower if targets are not fully met.
Pay Range:
8 594 zł
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10 743 zł PLN
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
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Location: Berlin, Germany; Helsinki, Finland; London, United Kingdom - Deliveroo
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
Role Overview
We are seeking a versatile Tax Technology Manager to support our growing EMEA and beyond scope. This role connects tax, technology, and data — ensuring our systems and processes enable compliant, efficient, and scalable across the region.
The ideal candidate combines a strong understanding of indirect tax (particularly VAT and invoicing) with an ability to partner cross-functionally and translate tax requirements into smart, tech-enabled solutions. You don’t need to be a developer or automation engineer — but you must be able to see opportunities, shape solutions, and drive them to execution by partnering with tax, engineering, accounting, data ops, and automation teams etc.
Key Responsibilities
Lead and coordinate the implementation of tax-related technology solutions, ensuring compliance with new or changing legislation (e.g., invoicing, digital reporting, VAT mandates).
Represent Tax in engineering, product, and finance initiatives — ensuring that new business rollouts and systems capture all relevant tax requirements.
Partner with vendors and internal system owners to integrate and maintain compliance tools
Support data governance and system control frameworks, ensuring audit (SOC) readiness, traceability, and documentation across tax technology systems.
Drive standardization of tax processes and tools across entities and regions (Wolt, DoorDash, Deliveroo).
Build strong partnerships with engineering, data, automation, and finance teams to ensure tax technology needs are prioritized and delivered effectively.
Act as a bridge between tax and technology — translating regulatory and compliance requirements into actionable system and process specifications.
Collaborate with local tax teams to ensure regional regulatory nuances are accurately reflected in the design and functionality of tax technology solutions.
Identify automation and efficiency opportunities across tax processes and drive them from concept through delivery while collaborating with the automation and data ops to teams to develop scalable solutions..
Promote adoption and consistent use of tax technology solutions across regional and global tax teams.
Provide training, documentation, and user support for new tools and processes.
Champion a culture of continuous improvement — gathering feedback, measuring outcomes, and iterating on solutions post-implementation.
Develop and maintain a joint roadmap with cross-functional teams, balancing strategic priorities and operational capacity.
Ensure strong governance around tax technology initiatives, including change management, security, and compliance oversight.
Qualifications & Experience
Understanding of indirect tax (especially VAT), e-invoicing, and digital tax compliance frameworks in the EMEA region. Understanding of other areas in tax such as Direct Tax, DAC7 etc. is a plus
Understanding of commercial tax engines (ie Vertex)
Proven track record of supporting or optimizing tax technology solutions in a multinational environment.
Familiarity with data flows and ability to partner effectively with data and automation teams.
Strong analytical mindset
Project management experience
Excellent communication and stakeholder management skills — able to explain complex tax technology topics to both technical and non-technical audiences.
Accounting/tax qualification or relevant technology certification preferred.
Understanding and display of using AI tools
This role will require traveling dependent on where the employee is based. We anticipate a 25% travel rate if the candidate is based in either Helsinki or London.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
Recruitment Scam Awareness - DoorDash
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Location: USA
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
We are currently seeking a Senior Director of Chiller Sales, Engineering & Aftermarket, Data Centers. This role is a home office-based role with proximity to a hub Airport for travel purposes. (Preferred: Major Data Center Markets such as Northern Virginia, Dallas, Phoenix, Atlanta, Chicago, Silicon Valley, or Remote)
Position Overview:
The Senior Director, Chiller Sales, Engineering & Aftermarket is responsible for leading sales execution, engineering support, aftermarket operations, and business development activities for the company's data center cooling solutions business across North America. Reporting to the Vice President or Senior Vice President, this role supports the execution of commercial growth strategies, customer engagement initiatives, and organizational development efforts within the hyperscale, colocation, enterprise, and AI data center markets.
The Senior Director will partner closely with executive leadership to implement strategic initiatives, strengthen customer relationships, and drive revenue growth while building a high-performing team focused on operational excellence and customer success.
Essential Duties and Responsibilities:
1. Strategic Leadership
Support the development and execution of business strategies and annual operating plans.
Contribute to annual revenue, profitability and market growth objectives.
Identify emerging opportunities within hyperscale, colocation, enterprise, and AI data center markets.
Lead strategic planning and business expansion initiatives.
Develop relationships with key customers and industry stakeholders.
Monitor market trends, competitive activity, and technology developments.
Lead all sales functions associated with data center cooling solutions.
Achieve annual bookings, revenue, profitability, and market share objectives.
Develop strategic account plans for major customers.
Direct sales efforts involving: Hyperscale Operators, Colocation Providers, Cloud Service Providers, etc.
Lead negotiations on major projects and strategic agreements.
Improve sales effectiveness through process optimization, forecasting, and pipeline management.
2. Engineering & Technical Leadership:
Lead customer-facing engineering and application support teams to ensure successful project execution and customer satisfaction.
Develop and maintain strategic relationships throughout the mission-critical ecosystem.
Represent the organization at major conferences, trade shows, and industry associations while enhancing brand awareness and customer engagement.
Collaborate with Product Management by providing customer and market feedback to support future product development.
Provide voice-of-customer feedback.
Identify opportunities for product enhancement and innovation.
3. Project Management & Aftermarket:
Direct and develop project management and aftermarket support functions to ensure operational excellence and customer success.
Develop effective strategies to route products from factories to job-sites
Create detailed aftermarket and parts programs that meet critical timing criteria
Align with third -party technical support to provide seamless factor support
4. Data Center Market Development:
Build and maintain relationships with key stakeholders across the data center ecosystem, including owners, consultants, contractors, and design firms.
Build deep market intelligence with AI data centers, high density computing, liquid cooling, etc.
Represent LG at major industry events.
5. Product and Technology Alignment:
Partner with Product Management to define future product roadmaps.
Influence development of new products
Provide direct voice-of-customer feedback.
Ensure products align with evolving data center standards.
6. Organizational Leadership
Lead and develop a high-performing team while fostering collaboration across sales, engineering, product management, and operations.
Coach and develop team members while supporting hiring and talent development activities.
Support talent development and succession planning efforts within the organization.
Foster collaboration across all functional groups.
Promote a culture focused on accountability, innovation, and customer success.
Key Qualifications
10+ years of HVAC, applied equipment or building systems experience
5+ years of leadership experience
Bachelor's degree required; Mechanical Engineering preferred
MBA preferred, not strongly preferred
Experience leading regional or national sales teams
Demonstrated success managing large customer accounts, business growth initiatives, and cross-functional teams.
Strong background in chiller systems and applied HVAC solutions.
Demonstrated success developing executive-level customer relationships.
Knowledge of data center infrastructure, including:
Direct data center industry experience.
Experience selling to hyperscale customers.
Experience supporting mission-critical facilities.
Experience leading both sales and engineering functions.
Experience with large-scale infrastructure projects.
#LI-DB2
Recruiting Range
$200,000
—
$250,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
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ГибридLondon
Dublin, Ireland
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