Location: California
Workplace: onsite
Overview
We’re hiring data collection operators to support physical AI programs. In this role, you’ll operate physical AI data collection systems (via teleoperation tools or guided interfaces) to generate high-quality real-world data used to train and evaluate AI models.
This is hands-on, execution-focused work. You’ll be supporting a robotics data collection pilot using I2RT YAM bimanual robotic arms. Each station is staffed by two people, and you’ll carry out assigned teleoperation and human-robot interaction tasks to help capture reliable, consistent data.
Project Details
Location: Palo Alto, CA — 100% onsite
Type: Full-time, short-term W-2 employee
Schedule: Full-time; 8 hours/day, 5 days/week. Must be able to stand for extended periods during shifts
Duration: Minimum 2-week engagement; potential extension through year-end and beyond (extension not guaranteed)
Start: ASAP
Compensation: US$35/hour
Work authorization: Must be authorized to work onsite in the U.S.
Key responsibilities
Operate physical AI data devices, including teleoperating bimanual robotic arms (I2RT YAM) to execute scripted tasks precisely, following SOPs.
Perform human robot interaction tasks per script, including gestures and object handovers.
Follow detailed instructions and documented SOPs, adapt to evolving guidelines, and complete hands-on training, applying it consistently.
Coordinate closely with your station partner to maintain timing, consistency, and safety.
Capture and validate data. Record trial status, notes, and anomalies as directed; promptly flag issues and assist with resets/retries.
Adhere to onsite safety, privacy, and data handling protocols; provide constructive feedback to improve procedures.
Support fast iteration cycles as tasks, tools, and priorities evolve.
Qualifications
Bachelor’s degree or equivalent work experience
Experience with gaming, simulation tools, or technical systems is a plus
Strong hand-eye coordination and spatial awareness
Detail oriented, reliable, and consistent in repetitive, process-driven work.
Clear communication and teamwork; receptive to coaching and feedback.
Prior teleoperation/robotics or lab data collection experience preferred; training provided.
Basic computer skills for simple logging and spreadsheets.
Preferred Qualifications
Exposure to robotics, autonomous systems, drones, or simulation environments
Experience with teleoperation, remote control systems, or QA/testing workflows
Familiarity with data collection, logging, or annotation processes
Ability to quickly learn new software applications
Interest in AI, robotics, or emerging technologies
Experience working in structured, metrics-driven environments
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: California
Workplace: onsite
Overview
We’re hiring an onsite lead to run day-to-day execution for our robotics data collection pilot, built around I2RT YAM bimanual robotic arms. You’ll guide a team of data collection operators, keep operations safe and consistent, and act as the main onsite point of contact for client stakeholders.
Please note that this role does not own staffing schedules or inventory management.
Project Details
Location: Palo Alto, CA — 100% onsite
Type: Contract
Schedule: Full-time; 8 hours/day, 5 days/week
Duration: Minimum 2-week pilot; potential extension through year-end and beyond
Start: ASAP
Compensation: $50/hour
Work authorization: Must be authorized to work onsite in the U.S.
Key responsibilities
Oversee daily execution and station readiness; enforce SOPs, quality, and safety protocols.
Coach operators on teleoperation and HRI execution; provide on-the-spot refreshers and corrective guidance.
Monitor live sessions and data quality; perform first-level troubleshooting and escalate issues appropriately.
Maintain concise daily notes and issue trackers; communicate blockers, risks, and needs to client teams.
Contribute to SOP and checklist refinements based on observations.
Utilize client-provided equipment, SOPs, examples, and hands-on training to align the team on best practices.
Qualifications
Hands-on experience leading robotic teleoperation and/or HRI data collection.
Strong communication, coaching, and problem-solving skills in lab/field environments.
Comfortable driving consistency, safety, and quality in repetitive workflows.
Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
To know more details (Click here)
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
Location: Bengaluru
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Senior Software Engineer on the Core Infrastructure team at Harvey, you'll play a critical role in designing and building new infrastructure systems while equally scaling and strengthening our existing infrastructure. Our infrastructure is the foundation that powers every user interaction with Harvey — processing billions of prompt tokens and millions of daily requests across our global legal AI platform.
You'll work in an environment balanced between innovation — building new systems — and operational excellence, ensuring that Harvey remains resilient and efficient as it scales products, regions, customers, and usage. Your contributions will directly impact the reliability, scalability, and security of our platform as we serve the world's leading law firms and professional service providers.
This role is based in Bengaluru, India.
WHAT YOU'LL DO
- Design and build scalable, fault-tolerant infrastructure systems that power Harvey's AI platform across multiple cloud regions
- Own and evolve our multi-cloud infrastructure (Azure, GCP), including Kubernetes orchestration, networking, and container management
- Lead technical initiatives around observability, incident response, and operational excellence — building systems that enable rapid detection and resolution of issues
- Architect and optimize our distributed systems for reliability, including load balancing, quota management, and failover mechanisms
- Partner with Product Engineering and Security teams to ensure our infrastructure is an accelerant, not a constraint
- Drive infrastructure-as-code practices using tools like Terraform and Pulumi to enable reproducible, auditable deployments
- Mentor engineers and raise the technical bar across the organization through code reviews, design reviews, and technical leadership
Representative Projects
- Design and implement a next-generation model proxy architecture that routes millions of daily inference requests while maintaining model API compatibility and enabling seamless model integration
- Build distributed rate limiting and quota management systems using Redis-backed algorithms to handle bursty traffic patterns without degrading user experience
- Architect multi-region deployment strategies that meet strict data residency requirements for global enterprise customers
- Develop comprehensive observability infrastructure with granular SLA monitoring, burn rate alerts, and detailed token attribution for cost tracking
- Lead the evolution of our CI/CD pipelines to improve developer velocity while maintaining production stability
WHAT YOU HAVE
- 8+ years of experience in Core Backend Infrastructure Engineering or Backend Platform Engineering in a production environment
- Long track record building and scaling complex, large-scale distributed systems
- Deep proficiency with cloud infrastructure platforms (Azure preferred; GCP or AWS experience transfers well)
- Strong fluency in Infrastructure as Code (IaC) tools — Terraform, Pulumi, or CloudFormation
- Solid understanding of Kubernetes, container orchestration, networking, and cloud security at scale
- Experience with observability tools (Datadog, Sentry) and incident response practices (PagerDuty, Incident.io http://Incident.io)
- Strong programming skills in Python, Go, or similar languages
- Excellent problem-solving skills, a "spidey sense" of where things could go wrong, and a commitment to operational excellence
Nice to Have
- Experience building infrastructure for AI/ML workloads or high-throughput inference systems
- Background with distributed rate limiting, load balancing, or quota management systems
- Experience operating multi-tenant platforms with strict security and compliance requirements
- Track record of leading complex cross-functional projects and delivering measurable impact
ADDITIONAL INFORMATION
- Work eligibility: Must be authorized to work in India. Visa sponsorship is not available for this role.
PLEASE FIND THE APPLICANT PRIVACY FOR THIS REGION HERE https://www.harvey.ai/legal/india-applicant-privacy-notice.
#LI-AS2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Hybrid
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location: Singapore
Why This Role Exists
Cloudflare built its reputation helping build a better Internet, defending millions of sites, giving away SSL and DDoS mitigation when the industry charged premium prices. In an acceleratingly dangerous world, the scope of that mission has changed. We are becoming something more: critical infrastructure. Banks run their payment rails on us. Governments run public services on us. Media companies depend on us during live events. Health systems depend on us to provide care. Reliability for these customers is no longer a feature of our product. It is a mission.
Serving that customer base demands a different operating model. Traditional support organizations route tickets. Traditional engineering organizations ship features. Neither alone is enough when the stakes are this high. We are pivoting to something different: a customer-facing engineering organization, directly engaged with our customers at scale. This is work a central dev team cannot do from the inside of the network.
The Customer Reliability Engineering function is the spine of that pivot. CRE is SRE applied outward, the same engineering discipline, applied to the reliability of the systems our customers run on Cloudflare. You are the engineer who owns the problems that matter most to the customers who matter most, and you contribute directly to our products and tooling, in partnership with Product Engineering, to hold that standard across the entire customer base.
The Role
CRE is a rapid response team and a proactive engineering team. You fix things at the edge as they come up, and you help build the product capabilities that identify customer issues before they become a crisis. Both modes are equally core.
Rapid response.
When a customer issue surfaces that is high-severity, cross-layer and complex, you are the engineer who answers. You reproduce the defect, isolate the root cause across Cloudflare's infrastructure and the customer's stack, drive the fix with Product Engineering, and confirm resolution. You hold on-call for high-severity incidents as part of a global shift rotation.
Proactive engineering.
When no fire is burning, you work with Product Engineering and our platform teams to build the capabilities that make the next fire cheaper or unnecessary: telemetry pipelines that correlate signals across the customer base, detectors that fire before a human notices, diagnostic tooling that scales across hundreds of customers, automation that reduces toil for Customer Support. Every incident you carry generates engineering output that reduces the cost of recurrence. The work compounds.
Cloudflare is building CRE as an AI-native function. You will work with and help build agents and tooling that pre-diagnose incidents, surface relevant logs and configuration, and propose fixes with cited evidence. Engineers who ship AI-assisted diagnostics are the ones defining this discipline.
What You Might Work On
Rapid response:
Own a Sev-1 incident where a large financial services customer sees asymmetric latency from a single POP. Trace it through BGP routing and origin configuration. Produce the fix upstream.
Diagnose a recurring WebSocket disconnect that a media customer has been fighting for weeks. Isolate it to a specific interaction between WAF and their origin load balancer. Drive the fix with Product Engineering.
Partner with a government customer's SRE team during an active DDoS event. Help them shape their Magic Transit and WAF configuration in real time.
Proactive engineering:
Build, with Product Engineering, a distributed tracing capability that correlates Cloudflare edge signals with customer origin metrics so a single query tells the story of a failing request end-to-end.
Ship a detector for a class of WAF false positives silently degrading several customers. Get it into production before the next renewal cycle.
Prototype an AI agent that takes a new customer case, pulls relevant logs and config, and proposes a root cause with linked evidence. Deploy it internally. Measure whether it makes engineers faster. Iterate.
Responsibilities
Rapid incident response and root cause analysis.
Own the most complex, high-severity customer issues end-to-end, from first signal through confirmed resolution. Lead deep-dive debugging across the full stack: edge, network, DNS, transport, APIs, application, customer-side configuration. Reproduce defects, validate fixes with Engineering, and confirm customer-side resolution. Produce postmortems other engineers rely on. Hold on-call for high-severity incidents as part of a global rotation that includes weekends.
Proactive reliability engineering.
Analyze support and telemetry signals across the customer base to find systemic risks before they become incidents. Contribute monitoring, detection, and diagnostic capability to the core product and the engineering systems that give Customer Support early visibility into customer-affecting issues. Define customer-facing reliability metrics (error rates, resolution times, repeat-contact rates) and drive measurable improvement. Write automation that reduces mean-time-to-detect and mean-time-to-resolve.
Cross-functional partnership.
Manage the technical escalation lifecycle with clear ownership and timely communication. Partner with Product Engineering to drive fixes, workarounds, and configuration changes that address underlying gaps. Represent the customer reliability perspective in engineering syncs, incident reviews, and post-mortem processes.
Technical leadership and enablement.
Raise the technical floor of Customer Support through pair-debugging, structured knowledge transfer, and shared tooling. Document diagnostic procedures and resolution patterns in runbooks, internal knowledge bases, and AI skills. Share insights from customer-facing incidents to improve product documentation and operational readiness.
Product and platform depth.
Maintain deep, current expertise across Cloudflare's product portfolio: edge networking, DNS, CDN, WAF, DDoS mitigation, Zero Trust, Workers, and our developer platform. Anticipate customer impact from new releases and architecture changes. Serve as a go-to subject-matter expert in one or more domains.
Requirements
Minimum 5 years of hands-on experience in site reliability engineering, escalation engineering, systems engineering, or a comparable deeply technical support / operations role, with at least 2 years in customer-facing environments.
Strong foundation in networking and security:
TCP/IP fundamentals: OSI model, IPv4/IPv6 addressing, subnetting, routing, switching.
Core protocols: DNS, HTTP/S, TLS/SSL, SMTP, SNMP, NTP.
Routing protocols: BGP, OSPF, including path selection and route propagation.
Firewall concepts: stateful/stateless inspection, rule sets, NAT, ACLs.
VPN and encryption: IPSec, SSL/TLS tunnels, GRE.
Zero Trust architecture, network segmentation, modern security models.
Proficiency with observability and diagnostic tooling: packet capture and analysis (Wireshark, tcpdump), log aggregation (Kibana, Elasticsearch), metrics dashboards (Grafana), distributed tracing.
Strong scripting and automation skills (Bash, Python) with a track record of shipping tooling that improves reliability and reduces toil.
Experience with incident management, postmortem culture, and SLO/SLI-based reliability practices.
Excellent written and verbal communication. Able to convey complex technical information clearly to engineers, leadership, and customers.
Comfort owning ambiguous, cross-layer problems. Composure under pressure during high-severity incidents.
Desired Skills & Experience
SRE, DevOps, or platform engineering experience with direct customer-facing accountability.
Deep expertise at both L3/L4 (network infrastructure) and L7 (application protocols, DNS, HTTP, WebSocket).
Expert-level proficiency with Linux command-line tools: curl, dig, git, traceroute, mtr, strace, ss.
Data-at-scale analysis using SQL, PromQL, or equivalent.
Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and container orchestration (Kubernetes, Docker).
Track record of building internal tooling or diagnostic utilities that measurably improved team efficiency.
Demonstrated technical leadership: mentoring engineers, driving cross-team initiatives, influencing outcomes without direct authority.
Experience applying AI/ML to production engineering or operational workflows.
Comfort engaging directly with enterprise customer engineering teams, including on calls during incidents.
Bonus Points
Active Cloudflare user who understands the platform as a practitioner.
Hands-on experience with Workers, Pages, R2, D1, or other developer platform services.
Cloud networking and security experience across AWS, Azure, or GCP.
Web programming (HTML, JavaScript) and regular expressions.
Chaos engineering or formal reliability frameworks (e.g., Google SRE principles).
Managing or configuring non-HTTP services: email, DNS authoritative/recursive, FTP, SSH.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: Marousi, Greece
Position Overview
The Legal Counsel will provide strategic legal support to the Group's operations across Greece, Luxembourg and other jurisdictions where the Group operates, advising senior management and business stakeholders on a broad range of legal and regulatory matters, with particular emphasis on corporate governance, corporate affairs, and legal support for Finance and HR operations across the Group's subsidiaries and affiliated entities worldwide.
Key activities and responsibilities:
Offering strategic legal counsel to senior management and other stakeholders on a broad range of legal and regulatory matters;
Ensuring the company adheres to all applicable laws and regulations, including those related to corporate governance, finance, employment and industry-specific requirements;
Managing corporate governance and corporate housekeeping matters for the Greek and Luxembourg entities and coordinating corporate legal affairs across the Group's subsidiaries and affiliated companies worldwide, including board and shareholder matters, corporate records, powers of attorney and coordination with external counsel;
Drafting, reviewing and negotiating day-to-day commercial and corporate agreements, including employment agreements, freelance contracts, confidentiality agreements, terms and conditions, non-competition agreements, NDAs and DPAs for the Group's entities worldwide;
Drafting, negotiating and supporting the performance of public procurement contracts, ensuring that the company's interests are adequately protected;
Drafting and reviewing legal documents, pleadings and other documents to be submitted before courts and administrative authorities;
Providing legal support in public procurement procedures;
Managing litigation matters, including coordinating and supervising external counsel in Greece and other jurisdictions;
Reviewing and updating employee handbooks, codes of conduct, internal policies and corporate compliance documentation;
Monitoring legal and regulatory developments affecting the Group's operations across multiple jurisdictions and advising the business on legal risks and compliance requirements.
Requirements
University Degree in Law and membership of a Greek Bar Association;
At least 5-8 years of professional experience as a lawyer, preferably in an international corporate environment or a leading law firm;
Demonstrated experience in corporate law and corporate governance, including management of multinational corporate structures and coordination of cross-border corporate matters;
Excellent written and verbal communication skills in Greek and English;
Excellent command of the French language;
Excellent knowledge of Microsoft Office applications;
Strong legal drafting, analytical, negotiation and problem-solving skills;
An LL.M. or professional experience in one or more of the following areas will be considered an asset: EU law, corporate law, public procurement law, employment law and commercial contract law;
Litigation experience will be considered an advantage;
Ability to work independently, manage multiple priorities and collaborate effectively within a fast-paced international environment;
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary and participation in incentive plan of the senior management of the group;
Private Health Coverage on the Company’s group program;
Flexible working hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
SLC/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com)
and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com)
is a leading European Software, Information, Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.). The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. ED is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
ED
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published in
www.eurodyn.com/privacy.
By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorise ED to process your personal data for the purposes of the company's recruitment opportunities, in line to the Policy.
Location: Athens, Greece
We are seeking a
Semantics/Knowledge Graph Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
S/KGE/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Athens, Greece
We are seeking a
Semantic / Data Engineer
to support a complex platform built around RDF data models, SPARQL queries, and structured datasets. You will be responsible for understanding, maintaining, and evolving the semantic layer of the system, working closely with backend engineers and architects. This role suits a specialist who enjoys data modelling, semantics, and knowledge representation in real-world production systems.
What You'll Do:
Analyse and maintain
RDF/TTL data models
and vocabularies;
Develop, optimise, and maintain
SPARQL queries;
Support data ingestion, transformation, and validation workflows;
Ensure consistency and correctness of semantic data across the platform;
Collaborate with backend engineers to integrate semantic logic into application flows;
Assist in documenting semantic models, assumptions, and constraints;
Participate in troubleshooting data quality and reasoning issues.
Requirements
3+ years of experience
working with semantic or data-centric systems;
Strong knowledge of:
RDF, RDFS, OWL
SPARQL
Experience with:
Knowledge graphs or semantic interoperability platforms;
Data modelling and ontology design;
Comfortable working with structured data formats:
TTL, XML, JSON, CSV
Ability to analyse existing models and understand
implicit domain logic.
Nice-to-Have:
Experience with triplestores or graph databases;
Familiarity with EU data standards or interoperability frameworks;
Python scripting for data processing and/or Apache Airflow;
Experience in projects with regulatory or standards-driven constraints.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
SDE/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1200 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: Marousi, Greece
We are seeking a senior litigator from a leading Greek law firm or an in-house legal function, with 8+ years' post-qualification experience and strong expertise in public procurement litigation. The ideal candidate combines courtroom experience with a preventive, commercially minded approach, and can protect the group's interests in competitive tender processes while keeping disputes to a minimum. You will join a dynamic, fast-growing GovTech business that bids for and delivers contracts for EU institutions and national public authorities across Europe.
Key Responsibilities
Act as the group's senior authority on dispute resolution, setting strategy and overseeing any litigation, arbitration or administrative proceedings involving ED's entities across jurisdictions.
Protect ED's position in public tenders: assess procurement decisions and, where appropriate, pursue or defend challenges before national review bodies, the Greek administrative courts and Council of State, and the EU General Court.
Advise senior management and bid teams at key tender milestones (evaluation, award, standstill) so decisions to challenge, intervene or defend are well founded and proportionate.
Prevent disputes by strengthening tender submissions, contract terms, and consortium and teaming agreements, drawing on procurement and litigation insight.
Resolve contractual issues with clients, subcontractors and consortium partners early, favouring negotiated outcomes that protect long-term relationships.
Select and manage external counsel in Greece, Luxembourg, Belgium and other jurisdictions when needed, ensuring strategy alignment and cost control.
Provide the CEO and the Board with clear, periodic reporting on legal risk and exposure, and give input to Finance where relevant.
Guide and support the in-house disputes team, promoting consistent quality and sound judgement.
Advise on contractual risk in EU institutional and public sector framework contracts, and support compliance, governance and M&A due diligence as required.
Requirements
LLB/LLM and qualification to practise law in Greece (member of the Athens Bar Association or equivalent); rights of audience before the higher courts preferred.
8+ years' experience in litigation and dispute resolution at a recognised Greek law firm or a comparable in-house role, with substantial public procurement litigation experience.
Strong knowledge of national procurement review procedures and EU public procurement law, including the EU Directives and the EU Financial Regulation rules for procurement by EU institutions; experience before the EU courts is a strong advantage.
Proven ability to assess legal risk proportionately, manage external counsel and budgets, and communicate clearly with senior management and boards.
Experience guiding or mentoring other lawyers.
Fluent English (written and spoken) is essential; French or other European languages are a strong plus.
Sound judgement, independence and the ability to work across multiple jurisdictions.
Commercial mindset, with a preference for practical, preventive solutions over adversarial ones.
Benefits
We believe in rewarding talent and dedication. Here's what you can expect as part of our team:
Competitive full-time salary;
Private Health Coverage on the Company’s group program;
Flexible Working Hours;
Top-of-the-Line Tools;
Professional Development: Benefit from language courses, specialized training, and continuous learning opportunities;
Career Growth: Work with some of the most innovative and exciting specialists in the industry;
Dynamic Work Environment: Thrive in a setting that offers challenging goals, autonomy, and mentoring, fostering both personal and company growth.
If you want an exciting challenge, work with some of the coolest technologies, and enjoy your time doing it, then join us! Submit your detailed CV in English, quoting reference: (
CO&LC/11/26
).
You may also consider all our other open vacancies by visiting the career section of our website (
www.eurodyn.com
) and follow us on Twitter (@EURODYN_Careers) and LinkedIn.
EUROPEAN DYNAMICS (ED)
(
www.eurodyn.com
) is a leading European Software, Information, and Communication Technologies company, operating internationally (Athens, Brussels, Luxembourg, Copenhagen, Berlin, Stockholm, London, Nicosia, Valetta, Vienna, Den Haag, Hong Kong, etc.) The company employs over 1100 engineers, IT experts, and consultants (around 3% PhD, 41% MSc, and 54% BSc). We design and develop software applications using integrated, state-of-the-art technology. Our current IT projects have a value exceeding 300 million EURO. EUROPEAN DYNAMICS is a renowned supplier of IT services to European Union Institutions, international organizations, European Agencies, and national government Administrations in 40 countries and 4 continents.
As part of our dedication to the diversity of our workforce, we are committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, disability, sexual orientation, gender identity, or religion.
EUROPEAN DYNAMICS (ED)
adheres to the General Data Protection Regulation principles by applying its Privacy Policy as published at
www.eurodyn.com/privacy
. By submitting an application to this position and by sharing your personal data with ED, you acknowledge and accept its Policy and authorize ED to process your personal data for the purposes of the company's recruitment opportunities, in line with the Policy.
Location: United States
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role
We’re looking for a Business Development Representative who will be the first point of contact for leading companies across the United States exploring next-generation cloud and AI solutions. Working closely with Account Executives, Marketing, and Product teams, you will build and qualify pipeline to accelerate Nebius’s growth in US markets.
Location:
San Francisco, New York or Boston
Your responsibilities will include:
Territory & Account Penetration
Collaborate with AEs to map and prioritize target accounts across the US, then execute a mix of outbound calls, personalized emails, and LinkedIn outreach to secure qualified meetings.
Inbound Lead Qualification
Screen and qualify inbound MQLs generated by Marketing, ensuring each prospect meets BANT criteria before handing off a detailed prospect brief to AEs.
Customer & Market Engagement
Conduct qualification calls to uncover customer pain points, technical requirements, and budget.
Represent Nebius at key European tech events, book on-site meetings, and follow up to maximize ROI.
Feedback & Continuous Improvement
Gather market intelligence (common objections, competitive insights, feature requests) during prospect conversations and share it with Product and Marketing.
Monitor outreach metrics (open rates, reply rates, connect rates) and collaborate with Sales Ops to optimize cadences and scripts.
Stay up to date on AI and cloud trends (e.g., generative AI in pharma R&D) to position Nebius’s value proposition effectively.
We expect you to have:
Language & Market Expertise
Fluent English, both written and verbal.
2+ years of SDR/BDR experience in cloud, B2B SaaS, or AI, with a proven track record targeting AI Natives in the US.
Technical & Sales Skills
Strong understanding of GDPR and local data-privacy regulations.
Soft Skills & Mindset
Highly self-motivated, goal-oriented, and able to thrive in a fast-paced startup environment.
Excellent written and verbal communication skills, with strong cross-cultural awareness and adaptability.
Collaborative team player comfortable operating in a hybrid office model.
It will be an added bonus if you have:
Familiarity with Salesforce and sales engagement tools such as Outreach.
Key employee benefits in the US:
Health insurance:
100% company-paid medical, dental, and vision coverage for employees and families.
401(k) plan:
Up to 4% company match with immediate vesting.
Parental leave:
20 weeks paid for primary caregivers, 12 weeks for secondary caregivers.
Remote work reimbursement:
Up to $85/month for mobile and internet.
Disability & life insurance
: Company-paid short-term, long-term and life insurance coverage.
Pay Transparency
We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law.
On Target Earnings Range
$95,000
—
$95,000 USD
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Remote - Canada
What We’re Building
Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023!
If you want to see what we’ve been up to, please check out these
blog posts
and Honeycomb.io
press releases
.
Who We Are
We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live
our values
every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers.
How We Work
We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote
Little more about the team:
You'll be the product manager for our Canvas and Agentic AI teams - the teams building Honeycomb's AI-powered investigation experience. Canvas lets engineers use natural language to query, visualize, and understand their production systems. We're pushing well past chat: we're building Skills (pre-configured workflows that encode domain expertise into repeatable, executable actions), Auto-Investigations (agent-driven investigations that kick off before a human gets paged), and a rearchitected Canvas that's both interactive and collaborative.
You'll work in a tight triad with engineering and design leads, owning the roadmap for how AI shows up in Honeycomb, from the product UI to our MCP server. You'll partner with our Director of AI Strategy, Research & Development teams, and our customer-facing teams to stay grounded in what customers actually need while pushing toward something meaningfully different from what exists today.
This is a role for someone who can hold both execution and ambiguity: shipping production features while navigating a product space where the right answers are still emerging.
What you’ll do in the role:
Define AI product strategy in service of Honeycomb's vision
Synthesize AI trends, customer needs, and technical capabilities into clear strategic recommendations
Help the product organization understand where and how AI creates genuine customer value vs. where it's hype
Identify emerging observability challenges created by AI adoption (e.g., LLM drift, prompt regression, low-context generated code)
Make informed bets about which AI technologies and approaches warrant investment
Conduct research that bridges technology and customer reality
Build deep understanding of how customers are adopting AI in their engineering workflows
Identify patterns across customer conversations that signal future market needs
Stay current with AI/ML developments (RAG, fine-tuning, agentic systems, etc.) and translate implications for observability
Engage with technical communities, researchers, and early adopters to spot trends before they go mainstream
Enable AI innovation across the product portfolio
Partner with product teams to identify high-value opportunities to leverage AI capabilities
Provide guidance on AI approaches, trade-offs, and best practices without centralizing all decisions
Help teams understand how their work fits into our broader AI strategy and how to leverage shared capabilities
Synthesize cross-portfolio learnings and socialize what's working (and what isn't)
Evangelize the AI-observability connection
Articulate Honeycomb's point of view on AI observability both internally and externally
Help customers understand how observability needs evolve as they adopt AI
Contribute to thought leadership through writing, speaking, and community engagement
Build credibility with technical audiences who care deeply about how we use AI, not just that we use it
What you’ll bring to the role:
Proven AI product experience
5+ years in product management with at least 1+ year shipping AI/ML-powered products
Track record of taking AI features from concept to customer impact, including things that didn't work
Deep understanding of how engineering teams actually build, deploy, and operate AI systems (not just theoretical knowledge)
Familiarity with current AI/ML techniques and the judgment to know when they're applicable vs. overhyped
Strategic thinking with customer empathy
Ability to synthesize disparate signals (research, customer feedback, technical trends) into coherent strategy
Comfort operating with ambiguity and making decisions without perfect information
Pattern recognition across conversations—spotting what customers aren't yet saying clearly
Strong judgment about when to say "no" or "not yet" despite exciting technology
Technical credibility without needing to be the expert
Enough technical depth to have earned respect from engineers and architects
Genuine curiosity about how things work, paired with humility about what you don't know
Ability to evaluate trade-offs between different AI approaches (RAG vs. fine-tuning, model selection, etc.)
Understanding of observability principles and why they matter in production systems
Communication and collaboration skills
Excellent written and verbal communication—can explain complex ideas clearly to varied audiences
Ability to influence without authority across product, engineering, and go-to-market teams
Comfort presenting to customers, executives, and technical audiences
Collaborative mindset that elevates others' work rather than centralizing control
Curiosity and learning orientation
Demonstrated ability to stay current in fast-moving domains (AI is evolving weekly, not yearly)
Intellectual humility—you're more interested in learning than being right
Excitement about the intersection of AI technology and real customer problems
Energized rather than exhausted by the pace of change in AI
Base Salary based on level of experience
$272,739
—
$320,829 CAD
What you'll get when you join the Hive:
A stake in our success - generous equity with employee-friendly stock program
It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience
Time to recharge with unlimited PTO
A distributed-first mindset and culture (really!)
Home office, co-working, and internet stipend
Full benefits coverage for employees, with additional coverage available for dependents
Up to 16 weeks of paid parental leave, regardless of path to parenthood
Annual development allowance
And much more...
Please note we cannot currently sponsor or support visa transfers at this time.
Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work.
Phishing and Recruitment Scam Warning:
We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you:
All communications will come from an
@honeycomb.io
email address
We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses—
never personal accounts like Gmail or Yahoo
.
Our recruiting process will
never
ask you to provide financial or sensitive personal information, including but not limited to:
Social security or tax identification numbers
Credit card numbers
Bank account information
Diversity & Accommodations:
We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams.
We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know.
As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback.
Privacy Notice:
If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes.
For more information regarding our privacy practices please see the
Honeycomb Privacy Notice
.
If you do not want us to retain your information, or want us to update it, please contact
privacy@honeycomb.io
. Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.
Location: Remote
Workplace: Remote
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get.
The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next.
You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.
WHAT YOU’LL DO
- Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation.
- Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on.
- Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists.
- Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent.
- Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material.
- Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes.
- Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount.
- Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly.
- Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.
WHAT YOU HAVE
- 5+ years of experience in knowledge management, support operations, technical writing, or content operations.
- Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale.
- Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content.
- A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content.
- Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process.
- Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog.
- Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.
COMPENSATION
$88,000 - $132,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-CG1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get.
The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next.
You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.
WHAT YOU’LL DO
- Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation.
- Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on.
- Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists.
- Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent.
- Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material.
- Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes.
- Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount.
- Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly.
- Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.
WHAT YOU HAVE
- 5+ years of experience in knowledge management, support operations, technical writing, or content operations.
- Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale.
- Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content.
- A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content.
- Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process.
- Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog.
- Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.
COMPENSATION
$88,000 - $132,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-CG1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: New York
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
Harvey ships product every week, and every release changes what our customers, our support specialists, and our AI Support agent need to know. Today that knowledge lives across fragmented surfaces, and the gap between what's shipped and what's documented shows up directly in ticket volume, resolution time, and the quality of answers customers get.
The CX Knowledge Specialist owns the source of truth: the articles, troubleshooting guides, and product knowledge that specialists and our AI Support agent answer from. You'll consolidate that knowledge into one well-structured foundation built for both people and AI, keep it accurate as the product moves, and use ticket, search, and agent data to decide what to fix next.
You'll work alongside our Enablement Specialists, who turn that knowledge into training and get the team ready for each launch. This is a hands-on role for a strong writer and systems thinker who wants to build the knowledge layer an AI-first support organization runs on.
WHAT YOU’LL DO
- Audit today's fragmented content surfaces: inventory and tag what exists, flag what's duplicate or stale, and migrate it into one knowledge foundation.
- Own the knowledge base: product support articles, troubleshooting guides, how-tos, and product best practices that specialists and the AI Support agent rely on.
- Structure knowledge for both humans and AI. Apply taxonomy, metadata, and templates consistently, and write articles that retrieve and chunk cleanly for the AI Support agent as well as for specialists.
- Keep knowledge current through every release. Track what Product ships, and update or create the affected articles before launch so they're ready for the Enablement Specialists' training and for the AI Support agent.
- Close knowledge gaps at the source by owning the feedback loop. Triage reports of inaccurate, missing, or buried content from downstream teams, then update the source material.
- Mine ticket signals, search logs, and agent escalations to find missing content, stale articles, and areas with high deflection potential, then prioritize fixes.
- Build AI-assisted workflows for drafting, refreshing, and detecting stale content (prompts, automations, review queues) so knowledge scales without adding headcount.
- Run review cycles, ownership assignments, versioning, and archiving so content stays accurate as the product changes weekly.
- Serve as the day-to-day contact for SMEs in Product, Engineering, AI Support, and GTM Enablement to get content reviewed, validated, and adopted.
WHAT YOU HAVE
- 5+ years of experience in knowledge management, support operations, technical writing, or content operations.
- Hands-on experience with knowledge base platforms (Zendesk, Notion, or similar), including structuring, migrating, and maintaining content at scale.
- Comfortable using LLMs in your daily workflow, and able to speak concretely to how you've used them to write, maintain, or improve content.
- A systems thinker who likes structure, and a strong writer who can turn complex technical or legal-product details into clear, retrievable content.
- Comfortable operating at Harvey's pace, where the product changes weekly and content needs to keep up without waiting for a perfect process.
- Uses data (ticket trends, search behavior, QA findings) to decide what to write or fix next, rather than working from a static backlog.
- Builds strong working relationships with cross-functional SMEs quickly, and can get content reviewed and adopted without direct authority.
COMPENSATION
$88,000 - $132,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-CG1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Remote, Canada; Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As an Ecosystem Operations Specialist, you'll help turn GitLab's Ecosystem go-to-market strategy into reliable day-to-day execution. You'll be a trusted operational resource and first point of contact for sellers, Ecosystem Sales Managers, partners, and cross-functional teams, supporting partner business from account setup and deal registration through quoting, ordering, and post-sales operational support. You'll resolve standard issues, improve processes and data quality, and route commercial, policy, finance, legal, and systems decisions to the right owners so Ecosystem Sales Managers can focus on partner strategy, pipeline creation, and deal progression.
What you'll do
Execute partner-sourced and partner-influenced workflows, including intake, account and opportunity setup or linking, deal registrations, cloud co-sell referrals, validation, routing, approval follow-up, and standard issue resolution.
Process partner quote requests against documented pricing and program requirements, receive purchase orders, and prepare opportunities for closure with Sales, Deal Desk, Billing, and Finance. Support marketplace and two-tier transactions involving distributors, resellers, and cloud providers.
Guide partners, distributors, sellers, and Ecosystem Sales Managers through operational questions, including attribution, program compliance, and post-sales support. Identify and route exceptions requiring commercial, policy, contractual, pricing, payment, or systems decisions to the appropriate owner.
Execute and improve partner program workflows, including onboarding, not-for-resale licensing, certifications, rebates, Professional Services Partner eligibility, Letters of Authorization, and channel price files. Collaborate with Programs and policy owners on required notifications, documentation, and compliance reporting.
Monitor Salesforce and partner-management data for missing links, incorrect ownership, incomplete attribution, failed synchronization, and recurring defects. Support month-end close, recurring data controls, and ad hoc reporting tied to projects and company objectives and key results.
Build and present dashboards and business updates on backlog, aging, turnaround time, approvals, pipeline, attribution, data quality, compliance, and process health. Share trends, risks, blockers, and recommended actions in regional and global partner team meetings.
Investigate recurring friction and manual work, document root causes and operational requirements, test process or system changes, and support automation and scalable self-service improvements.
Maintain process documentation, how-to guides, and best practices, and deliver office hours, operational training, and communications when processes or systems change.
What you'll bring
Relevant experience in partner operations, sales operations, deal desk, order management, finance operations, or a similar revenue operations environment, including direct support for sales or partner sales teams, distributors, and partners, along with an interest in GitLab and open source software.
Experience with enterprise quote-to-cash processes and configure, price, quote tools or other commercial systems in a channel or partner context.
Experience with Salesforce and partner-management systems or portals.
Strong analytical skills, including advanced spreadsheets, dashboard building in Salesforce or business intelligence tools such as Tableau, and turning data into clear recommendations.
Hands-on experience using generative artificial intelligence (AI) tools to improve operational productivity, quality, or scale, including writing effective prompts, judging when outputs need human review, and sharing useful approaches with others.
Strong problem-solving skills, attention to detail, and the ability to prioritize requests, investigate issues, identify exceptions, and escalate decisions to the appropriate owner, along with experience contributing to process improvement and automation.
Clear written and verbal communication, including explaining operational requirements to technical and non-technical audiences, documenting processes, creating enablement materials, and collaborating across Sales, Ecosystem, Programs, Deal Desk, Finance, Legal, Billing, and Systems.
Preferred experience includes Impartner or similar tools, SQL, or Snowflake.
About the team
The Ecosystem team supports GitLab's partner go-to-market strategy. In this role, you'll work with Ecosystem Sales Managers, global distributors, partners, sellers, and cross-functional teams to keep partner operations moving and make process health visible. We focus on accurate transactions, reliable partner data, consistent program execution, and reducing operational friction so our Ecosystem Sales Managers can focus on partner strategy and field engagement.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$86,400
—
$146,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Vancouver, BC
We’re looking for a Senior Software Engineer to join our growing AI organization in Vancouver. Asana is pioneering a new category of technology as the human-agent operating system, doubling down on our AI Suite to move our customers toward expansive, end-to-end intelligent orchestration. We are expanding several of our key AI engineering teams: depending on where you land, you might lead architecture across our core agentic runtime, develop high-throughput evaluation and safety infrastructure, or build the sophisticated customer-facing builders and canvas surfaces that allow enterprises to coordinate humans and AI agents seamlessly. Because this is an organization-wide search across our AI teams, you will participate in a single, streamlined technical interview process, and we will work with you to match you to the ideal team at the end of your interview experience.
This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements.
What you’ll achieve
Drive the technical design, architecture, and end-to-end delivery of medium-to-large projects across our AI roadmap, guiding and collaborating with multiple engineers.
Design robust, extensible, and performant systems that support agentic execution, prompt-driven automation, model orchestration, and strict enterprise-grade data boundaries.
Solve complex technical problems by weighing technical debt, developer velocity, execution risk, and direct business goals.
Anticipate customer and architectural risks early, breaking down complex, ambiguous product visions into clear engineering milestones and actionable tasks.
Champion technical excellence, write high-leverage design docs, run meaningful retrospectives, establish testing norms, and mentor engineers across levels to raise the engineering bar.
Partner closely with Product Managers, Engineering Managers, Product Designers, and Data Scientists to define requirements, clarify trade-offs, and align technical direction with Asana's broader product strategy.
About you
Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making.
6+ years of professional software engineering experience designing, building, and maintaining production distributed systems, microservices, or complex full-stack architectures.
Demonstrated track record of technical leadership across multiple services or codebases, with practical experience or deep interest in LLMs, agentic patterns, evaluation pipelines, retrieval-augmented generation (RAG), or real-time streaming infrastructure.
Proven ability to author comprehensive technical design docs, evaluate trade-offs (e.g., latency, cost, determinism, maintainability), and make durable architectural decisions.
Track record of acting as a Tech Lead or Area of Responsibility (AoR) owner—successfully driving multi-contributor projects from ambiguity to delivery while navigating cross-team dependencies.
Passion for mentoring and coaching fellow engineers, providing actionable code and design feedback, and establishing long-term engineering best practices.
Deep empathy for the end-user experience, understanding how backend architecture and model behaviours directly affect user trust, interface latency, and workflow reliability.
At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply.
What we’ll offer
Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit.
For this role, the estimated base salary range is between $176,000 -$200,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified.
In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
We strive to provide equitable and competitive benefits packages that support our employees worldwide and include:
Mental health, wellness & fitness benefits
Career coaching & support
Inclusive family building benefits
Long-term savings or retirement plans
In-office culinary options to cater to your dietary preferences
These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role.
#LI-Hybrid #LI-HC1
About us
Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong.
We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law.
Join Asana’s Talent Network
to stay up to date on job opportunities and life at Asana.
Location: United States
Overview
Smartling is an AI-native translation platform that's redefining how the world's biggest brands go global — ranked
#3 on Fast Company's Most Innovative Companies list
. We're growing rapidly at scale and are backed by Battery Ventures, a global technology-focused investment firm. While most companies are still figuring out how to use AI, we've spent years building it into the core of our platform — and we're just getting started.
The Web Integrations Support Engineer is part of the Professional Services team at Smartling. The mission of the team is to help customers rapidly integrate Smartling solutions in a way that is sustainable and scalable. You will be responsible for ongoing maintenance of customer integrations based on Smartling’s GDN (web proxy) solution to ensure that the integration continues to meet customer needs as their sites change over time.
We are looking for a professional with a track record of successfully supporting enterprise-grade technical solutions, who can communicate complex concepts and ideas effectively, and who takes a systematic troubleshooting approach when dealing with live customer issues. We are currently considering candidates based in the
Pacific and Mountain
time zones.
You Will
Own customer tickets end to end, with clear written root-cause explanations and next steps
Run troubleshooting sessions and workshops with customer engineering teams, advising them on integration best practices
Escalate to and collaborate with Engineering with clear reproduction steps when an issue needs a product fix
Build scripts and tooling, to make diagnosis and configuration faster and safer
Work with technical and business stakeholders to understand requirements and recommend sustainable solutions
Make changes to live production configuration with care: testing safely, planning for rollback, and telling customers what changed and why
Act with precision and urgency when customers are affected, and manage changing scope and ambiguity without losing momentum
Keep learning about new web technologies and contribute to process and tooling improvements
You Have
A bachelor's degree in Computer Science, Engineering or a related field, or equivalent practical experience
2+ years in a customer-facing technical role such as Support Engineer, Solutions or Technical Consultant, or similar, focused on technical troubleshooting, solution design or implementation
2+ years of hands-on experience with HTTP, HTML, CSS (including writing robust selectors), JavaScript and REST APIs
Strong skills with browser DevTools and network debugging, and an understanding of how pages are built and rendered in the browser
Working knowledge of proxies, CDNs, web servers, DNS/TLS and caching, plus web security basics (CSP, CORS, cookies, WAFs)
Comfort with regular expressions, plus the ability to write scripts (JavaScript, Python or Bash)
Experience diagnosing issues from logs and request traces (Quickwit, Grafana, Kibana, Splunk or similar)
A methodical, hypothesis-driven approach to complex problems
Excellent written and spoken communication, with the ability to advise and persuade both technical and non-technical audiences
The ability to drive outcomes despite complexity, ambiguity or shifting priorities
Preferred but not required
Experience with modern front-end frameworks (React, Next.js, Vue) and client-side rendering
Familiarity with CMS platforms (e.g., AEM, Sitecore, WordPress, Contentful)
Hands-on experience with Nginx or similar proxy and web server configuration
Knowledge of SEO fundamentals (hreflang, canonical tags, sitemaps)
Experience with translation, localization and internationalization, including awareness of RTL and CJK languages, character encoding and locale formatting, and/or fluency in multiple languages
Software development experience
You Will Enjoy
Freedom 🏡 - we are remote-first
Growth - an opportunity to learn and advance your career
Wealth 💰 - we offer a competitive salary and 401(k) + company match
Wellness - health insurance; free medical plan for you and your family
Balance - flexible PTO + 11 holidays; generous parental leave
Culture 🤝- an energetic, value-driven, and fun culture and team spirit
Bonus - employee referral program and Apple equipment
Smartling is proud to be an equal-opportunity employer. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, skills, and experiences.
We use the E-Verify platform for work authorization verifications.
The US national total pay range for this role is $90,000 - $110,000. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed.
*To work from home, you must have a strong internet connection, a quiet space, and a professional (distraction and clutter-free) background.
Location: Ireland; London, England, United Kingdom
About the Job:
We're looking for a Revenue Operations Manager, EMEA to be the go-to operator for our EMEA GTM team. This is a high-impact, highly visible role for someone who wants to shape how a growing region runs, from the first marketing touch to the closed deal and beyond.
You'll join our GTM Operations team as the face of operations in EMEA, partnering day-to day with Marketing, SDR, Sales, Solution Engineering, and Customer Success leaders across the lifecycle. You'll turn strategy into the processes, cadences, and insights that move the number. And you won't build alone: a global RevOps team stands behind you with builders and enablement teams to give you the foundation to develop what you design, and enablement to help teach your stakeholders how to be successful.
As we build in-region Field Operations coverage, you'll set the playbook for how LaunchDarkly runs in EMEA, and you'll see your impact within your first 90 days, not your first year. If you're a business partner at heart who loves turning ambiguity into rhythm and results, this role is for you.
Why This Role Matters:
High Impact:
You'll own the rituals that make EMEA pipeline and forecasting trustworthy, with a direct line to revenue in one of our key regions. Support EMEA in bringing forecast accuracy within +/- 5% accurate.
Strategic Influence:
Be the voice of EMEA inside GTM Operations and a trusted partner to regional GTM leadership
Break New Ground:
Help build in-region operations coverage and set the operating playbook for the region
Career Growth:
Gain exposure across the full GTM lifecycle, from Marketing and Sales to Customer Success, at a high-growth B2B company
Regional Playbooks:
Adapt global plays for land, expand, and renewals. Track how playbooks drive conversion and optimize over time.
Responsibilities:
Business Partnership
: Serve as the named operations partner for EMEA's Marketing, Sales & Customer Success leaders. Join their operating meetings, know their number, pipeline, and top risks, and bring insight before you're asked.
First Line of Defense
: Own intake for EMEA field requests. Answer, route to the right operations team, or escalate, so the field never needs to navigate our org chart.
Operating Cadence
: Run the EMEA forecast, pipeline, and business review cadence. Inspect pipe hygiene with leaders so each forecast is based on clean data, and each meeting ends in strong data-driven decisions, not updates.
Strategy -> Process:
Apply our global processes, handoffs, and rules of engagement in EMEA. Own the regional variants and keep them documented.
Actionable Insights
: Use standard data to find what drives the pipeline, understand what becomes a win, help leaders understand their teams. Recommend the change and see it through.
Planning Inputs
: Bring what the field knows (territory health, ramp, pipe coverage, and in-market demand generation) to Planning and FP&A so EMEA plans reflect realistic expectations.
Adoption & Accountability
: Partner with Enablement on new motions and launches, then inspect adoption through the cadence and close the gaps.
Voice of the Field
: Bring EMEA priorities into operational planning and partner with Systems teams to define clear business requirements.
About You:
You are a business partner first who thrives at the intersection of strategy, data, and operations.
You're fluent in the language of pipeline and forecasting, but just as comfortable sitting with a rep as with a VP.
You take ownership of outcomes, not just tasks, and you hold yourself to a high bar.
You move fast with an 80/20 mindset, and you can look at a process you built and say "this isn't working" without defensiveness.
You know how to influence without authority, and you build relationships before you push for change.
You stay curious, embrace feedback, and keep looking for ways to level up yourself and those around you.
You’re energized by working across multiple EMEA markets, and you keep a global team aligned from a different time zone.
Qualifications:
Typically requires 8 years of experience, or equivalent depth of expertise, in Revenue Operations, Sales Operations, Marketing Operations, or a related GTM operations role
Experience supporting EMEA GTM teams, ideally in a regional-focused capacity
Proven experience running forecast, pipeline, and business review cadences with senior GTM leaders
Strong working knowledge of the full GTM lifecycle, including lead management, pipeline generation, sales stages, and customer handoffs
Hands-on Salesforce experience, with the ability to write clear business requirements for systems product owners and developers
Strong analytical skills, with the ability to turn data into clear, actionable recommendations
Experience at a B2B SaaS or high-growth tech company
Excellent communication and stakeholder management skills, with the ability to influence without authority
Experience with GTM tools like Salesforce, Gong, Looker, Outreach, Cognism
About LaunchDarkly:
Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations.
The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by:
Improving the velocity and stability of software releases, without the fear of end customer outages
Delivering targeted experiences by easily personalizing features to customer cohorts
Maximizing the business impact of every feature through the ability to experiment and optimize
Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types
Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability
At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.
Do you need a disability accommodation?
Fill out this
accommodations request form
and someone from our People Operations team will contact you for assistance.
Your safety matters to us.
To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @
launchdarkly.com
email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains. Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit
Careers | LaunchDarkly
directly for confirmed job openings and links to apply.
Please notify us of any fraudulent representation by sending an email to
careers@launchdarkly.com
.
ОфисleadCalifornia
УдалённоseniorRemote: India; Location: Candidates based in Mumbai or Bangalore will be prioritised
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
УдалённоRemote, Canada; Remote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
seniorVancouver, BC
United States; We are currently considering candidates based in the; time zones
Ireland; London, England, United Kingdom; You’re energized by working across multiple EMEA markets, and you keep a global team aligned from a different time zone
Автоотклики