Location: Manchester, United Kingdom
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Why Deliveroo?
Our mission is to be the definitive food company. We are transforming the way the world eats by making food more convenient and accessible. We give people the opportunity to eat what they want, as they want it, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world.
The Role
A Care agent provides support for our Customer’s, Riders and Partners, and if things don’t go as expected we want to make sure they are taken care of if there is a need to contact us. The Quality team is instrumental in ensuring those contacts are handled correctly and in line with our policies and expectations. The primary goal of the Quality team is to set a standard of excellence within the team in order to deliver a consistently high experience to our customers, supporting managers to maintain these standards at all times.
As a Quality Analyst you will:
Be responsible for evaluating and ensuring contacts and tasks handled by agents are completed correctly and in line with our policies and expectations.
Review customer survey feedback and identify agent coaching opportunities.
Perform targeted deep dives on low performing areas and support with improvement plans.
Join calibration sessions with relevant internal and external stakeholders globally to ensure alignment on quality and performance.
Set a standard of excellence in the team while ensuring fair and consistent marking against the predefined quality scorecard.
Routinely perform root cause analysis and share actionable insights with stakeholders.
Hold agents and vendors to account, whilst ensuring fair and consistent marking against the predefined quality scorecard.
Support Operations with agent coaching and feedback to continuously drive improvement.
Ensure feedback is always relevant, realistic and up to date by regularly handling front line contacts to fully understand the agent experience.
Identify improvement opportunities in policy, content and training through Quality and CSAT feedback.
Serve as an advisor to our Operations teams and management by building strong relationships focused on positive feedback and coaching closed-loop processes.
Perform qualitative analysis to drive continuous improvement; produce development plans by identifying pain points and areas for optimisation within the customer journey.
This is a Hybrid role - you will work 3 days a week in our Manchester office with 2 optional work-from-home days.
Requirements
Demonstrates a strong commitment to thoroughness and precision
Outstanding communication skills in English
Capable of inspiring others and fostering change
Exceptional collaborative abilities within a team
Skilled in self-managing tasks and responsibilities
Proficient in providing and receiving constructive feedback
Can navigate in an ambiguous environment
Seasoned in a dynamic and high-pressure role, specifically in Operations or Customer Services, showcasing strong critical thinking skills
Preferred but not required
Experience using Zendesk
Intermediate excel skills
Working proficiency in a second language (Italian, French or Arabic)
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Manchester, United Kingdom; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
Location: Remote; Europe
Workplace: Remote
About Eneba
At Eneba, we’re building an open, safe and sustainable marketplace for the gamers of today and tomorrow. Our marketplace supports close to 20m+ active users (and growing fast!), provides a level of trust, safety and market accessibility unparalleled to none. We’re proud of what we’ve accomplished in such a short time and look forward to sharing this journey with you. Join us as we continue to scale, diversify our portfolio, and grow with the evolving community of gamers.
About the team
Our influencer team drives revenue through partnerships with creators across multiple countries and game categories. The team handles lead generation, onboarding, relationship management and performance support. You’ll join as the specialist who makes the advertising creative behind those partnerships work harder.
About the Role
This role has two parts that feed into each other.
Creative: You’ll research what competitors and the wider market are doing, work out which creative solutions we can run, and turn that into a high volume of clear, usable creative briefs for influencers.
Performance: Once influencers run the briefs, you’ll own the performance side. You’ll set up A/B tests, track KPIs and work out which creative angles are driving results, then feed those insights back into the next round of briefs.
Responsibilities
- Research competitor and market advertising to spot angles, formats and trends
- Develop a high volume of creative angles and briefs for influencers
- Tailor creative approaches by country, audience and game category
- Review influencer content and give constructive feedback
- Design and run A/B tests across creatives, markets and categories
- Analyse creative performance using KPIs and structured testing, then adjust the approach based on what the data shows
- Manage and optimise influencer advertising budgets, including YouTube spend
- Use AI tools to analyse data, find patterns faster and improve your workflow
- Report on creative impact to influencer managers, media buyers and leadership
- Work closely with influencer managers, media buyers and creators
Requirements
- Proven experience writing creative briefs
- Strong skills in measuring and analysing campaign and creative results
- Hands-on experience managing YouTube spend
- Budget ownership, ideally managing 100,000+ per month in influencer marketing
- Experience working closely with influencer teams, or running ads with influencers
- Hands-on experience using AI tools in your daily work, particularly to analyse data
- Good English level required, proficiency preferred
Nice to have
- A background in a B2C brand, B2C SaaS or consumer subscription company where influencers are a top marketing channel
- Experience across multiple markets and countries
- Experience in a business with a large content creator team (10+ people)
SALARY : €42,000 - €45,000 A YEAR
*Salary ranges may vary. We’re seeking candidates with varied experience levels; from individual contributors to functional leaders in this space.
*We’re an international team and our business language of choice is English. Good English level is required, proficiency is preferred.
What it’s like to work at Eneba
- Opportunity to help scale a unique product.
- Opportunity to join our Employee Stock Options program
- Various bonus systems: performance-based, referral, additional paid leave, personal learning budget.
- Paid volunteering opportunities.
- Work location of your choice: office, remote, opportunity to work and travel.
- Personal and professional growth at an exponential rate supported by well-defined feedback and promotion processes.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Sydney, Australia
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Partners Solutions Architect on the Applied AI team at Anthropic, you will be a Pre-Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs), and our cloud partners . You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long-term GTM strategy.
Responsibilities:
Strategic Technical Partnership
: Be a technical thought partner to the Anthropic GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize Anthropic in their developer communities, and serve as an escalation point for complex technical issues.
Joint Solution Development:
Collaborate with partners to identify high value industry-specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment
Customer Deal Support:
Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner Ecosystem & Events
: Represent Anthropic at partner events such as GSI customer workshops, summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
Product Feedback:
Validate and gather feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant Anthropic teams to inform product roadmap and partner strategy.
You may be a good fit if you have:
10+ years of experience in technical customer-facing/partner-facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer
Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Amsterdam, North Holland, Netherlands, EMEA
From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven.
About Us
Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data.
Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on.
Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions.
As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact.
During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites.
About the Role
Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies.
Fivetran's SAP connectors move enterprise data out of SAP and into modern data platforms. We're looking for an all-round SAP specialist who combines strong ABAP skills with deep knowledge of SAP outbound interfacing. You'll work on the interfaces and data extraction mechanisms that let Fivetran reliably pull data from SAP ECC and S/4HANA systems, and you'll help customers and internal teams get the most out of them.
You will be the SAP specialist within a team of Java developers. Your knowledge and input is crucial to the success of this team.
Technologies You’ll Use
ABAP programming using traditional SAPGUI as well as Eclipse (or other IDE).
Databases (HANA/Oracle/etc)
Cloud environments (AWS/GCP/MS)
AI tools Claude/Codex/
What You’ll Do
Design, build, and maintain high-performance ABAP components (function modules, classes, CDS views, and enhancements) to drive scalable outbound data extraction from SAP systems.
Own and modernize internal SAP test environments to accelerate feature development for current connectors and upcoming public cloud / BTP integrations.
Architect robust outbound interfaces leveraging OData, standard and generic DataSources, ODP/ODQ delta frameworks, and RFC connections.
Optimize data throughput and reliability across ECC and S/4HANA landscapes by diagnosing and resolving extraction performance bottlenecks and delta synchronization issues.
Analyze underlying SAP database structures (HANA and traditional DBs) to unlock efficiency gains and streamline data pipeline performance.
Partner closely with engineering, support, and customers to translate complex business requirements into elegant technical architectures.
Deliver end-to-end support for enterprise clients by troubleshooting complex connectivity, authorization, and configuration challenges in customer SAP environments.
Establish technical design standards, interface specifications, and best practice documentation for internal and external knowledge sharing.
Evaluate and integrate emerging SAP technologies—including SAP Datasphere and BTP—to keep Fivetran’s connectors at the forefront of modern data integration.
Skills We’re Looking For
10+ years of hands-on SAP development experience, with strong ABAP skills (classic and modern ABAP, ABAP OO, ABAP for HANA)
Deep knowledge of SAP outbound interfacing:
OData (v2 and v4): service design, SEGW, performance, and security
SAP extractors: standard and generic DataSources, delta handling, ODP/ODQ, CDS-based extraction
RFC: function modules, BAPIs, destinations, and tRFC/qRFC
Solid working knowledge of both SAP ECC and S/4HANA, including the differences in data models and extraction options between them
Good knowledge of databases: SQL, query performance and tuning, SAP HANA, and relational database concepts
Understanding of SAP data models and key modules (e.g., FI/CO, MM, SD)
Experience with SAP authorizations and technical user/role setup for interfaces
Strong analytical and troubleshooting skills
Good communication skills, with the ability to explain technical topics to non-technical stakeholders
Fluent in English
Experience in code reviews, design, troubleshooting and testing
Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals
Bonus Skills
Experience with public cloud platforms (AWS, Azure, or GCP), including connecting SAP to cloud data platforms
Java development experience
Familiarity with data integration/ELT tools and data warehousing concepts
Knowledge of SLT, SAP Datasphere, BW and SAP BTP.
The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process.
Pay Range
€131.912
—
€164.890 EUR
Perks and Benefits
100% employer-paid medical insurance
*
Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off.
RSU stock grants*
Professional development and training opportunities
Company virtual happy hours, free food, and fun team-building activities
Monthly cell phone stipend
Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents.
*
May vary by country and worker type - please reach out to your recruiter for more information
Click
here
to learn more about Fivetran's Benefits by Region.
We’re honored to be
valued at over $5.6 billion
, but more importantly, we’re proud of our
core values of Get Stuck In, Do the Right Thing, and One Team, One Dream
. Read about us in
Forbes
.
Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities.
To learn more about Fivetran’s culture and what it’s like to be part of the team,
click here
and enjoy our video.
To learn more about our candidate privacy policy, you can
read our statement here
.
We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this
form
. We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.
Location: Paris, France
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
À propos du rôle
Anthropic construit l’équipe Applied AI pour aider les organisations les plus ambitieuses du monde à adopter Claude de manière transformatrice, sûre et durable. Nos Forward Deployed Engineers s’intègrent directement auprès de clients stratégiques pour déployer des applications d’IA en production qui résolvent de véritables problèmes métier. À mesure que cette pratique se développe, nous avons besoin d’une personne leader pour construire et développer cette équipe.
En tant que premier Forward Deployed Manager en Europe du Sud, vous piloterez l’équipe qui se situe à la frontière du déploiement d’IA en entreprise. Vous recruterez et développerez une équipe performante de Forward Deployed Engineers, fixerez le standard technique et opérationnel pour les engagements clients, et construirez les playbooks qui transforment les succès ponctuels en modèles reproductibles. Vous travaillerez en étroite collaboration avec les Engagement Managers qui gèrent la logistique de livraison et les relations avec les parties prenantes, tout en veillant à ce que votre équipe livre du code de qualité, se développe techniquement, et représente Anthropic au plus haut niveau dans les environnements clients.
Ce rôle est un rôle de meneur-contributeur avec une forte orientation leadership. Vous resterez assez impliqué dans le travail technique pour examiner les architectures, déboguer les problèmes en production, et vous associer à votre équipe quand cela compte — mais votre impact principal viendra des personnes que vous recruterez, des standards que vous fixerez, et de la culture que vous créerez. Vous collaborerez de manière transversale avec les équipes Ventes, Produit et Ingénierie pour façonner la manière dont Anthropic sert ses clients les plus stratégiques, et les insights de terrain de votre équipe influenceront directement la direction produit.
Ce rôle nécessite quelqu’un qui s’épanouit dans l’ambiguïté et qui est énergisé par la création à partir de zéro. Vous définirez ce que l’excellence ressemble pour la gestion d’une équipe FDE chez Anthropic — il n’existe pas de playbook existant à suivre.
Responsabilités
Recruter, développer et fidéliser une équipe de classe mondiale de Forward Deployed Engineers. Fixer un haut standard pour le talent technique et l’instinct client.
Mener des entretiens individuels réguliers, fournir du mentorat technique, et investir dans la progression de carrière de chaque membre de l’équipe. Créer un environnement où les Forward Deployed Engineers accomplissent leur meilleur travail.
Staffier et superviser les engagements clients dans le portefeuille de votre équipe, en prenant des décisions d’allocation des ressources qui équilibrent les besoins clients, le développement de l’équipe, et les priorités métier.
Collaborer avec les équipes de compte et les Engagement Managers pendant le processus de pré-vente pour qualifier les engagements, définir le périmètre du travail, et informer les demandes de travail.
Examiner les architectures techniques et le code produit par vos Forward Deployed Engineers, en veillant à ce que l’équipe livre des solutions production de haute qualité qui résolvent de véritables problèmes clients.
Rester assez impliqué pour diriger des sessions de découverte technique, prototyper des solutions, et déboguer des problèmes complexes aux côtés de votre équipe quand cela est nécessaire.
Construire des playbooks reproductibles, des dépôts de démarrage, des modèles d’intégration, et une base de connaissances interne qui capture ce que votre équipe apprend sur le terrain.
Définir les OKRs de l’équipe liés aux résultats de succès client et aux objectifs d’adoption produit. Créer des cadences opérationnelles — standups, rétros, revues d’engagement — qui maintiennent l’équipe alignée.
Collaborer avec Produit et Ingénierie pour traduire les insights de terrain en améliorations produit. Servir comme voix du client dans la planification interne.
Voyager sur les sites des clients selon les besoins (25-50%), particulièrement lors des lancements d’engagement et pour les comptes prioritaires de votre équipe.
Vous pourriez être un bon fit si vous avez
10+ ans d’expérience en ingénierie logicielle, architecture de solutions, ou dans un rôle technique orienté client comme l’ingénierie forward deployed ou le conseil.
2+ ans d’expérience en gestion de personnes au sein d’une organisation de services/post-vente/FDE avec un palmarès de recrutement, développement et fidélisation d’ingénieurs performants.
De l’expérience dans la construction d’organisations de zéro à un, pas seulement l’héritage d’une organisation existante.
De l’expérience de travail direct avec des clients d’entreprise sur des mises en œuvre techniques, y compris l’aisance à naviguer dans les dynamiques organisationnelles complexes.
Une présence de cadre avec la capacité à naviguer fluidement entre les conversations stratégiques avec les parties prenantes senior et les sessions de débogage pratiques avec les ingénieurs.
Des compétences fortes en communication écrite et verbale. Vous pouvez traduire la complexité technique en narratifs clairs pour des audiences diverses.
Un enthousiasme sincère pour la construction de quelque chose de nouveau et la définition de l’excellence pour une équipe qui n’existe pas encore.
Pourquoi ce rôle compte
Vous serez une personne leader fondatrice d’une équipe qui définit comment les entreprises adoptent et déploient l’IA. Votre travail influencera directement la direction produit d’Anthropic, créera des modèles réutilisables pour la base clients plus large, et établira Anthropic comme le partenaire de confiance pour la transformation de l’IA — tout en promouvant le développement responsable des systèmes d’IA de pointe.
About the role
Anthropic is building the Applied AI team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Forward Deployed Engineers embed directly with strategic customers to ship production AI applications that solve real business problems. As this practice grows, we need a founding leader to build and scale it.
As the first FDE Manager in Southern Europe, you'll own the team that sits at the frontier of enterprise AI deployment. You'll hire and develop a high-performing team of FDEs, set the technical and operational bar for customer engagements, and build the playbooks that turn one-off successes into repeatable patterns. You'll work hand-in-hand with Engagement Managers who own delivery logistics and stakeholder management, while you ensure your team is shipping quality code, growing technically, and representing Anthropic at the highest level in customer environments.
This is a player-coach role with a strong bias toward leadership. You'll stay close enough to the technical work to review architectures, debug production issues, and pair with your team when it matters — but your primary impact will come from the people you hire, the standards you set, and the culture you create. You'll partner cross-functionally with Sales, Product, and Engineering to shape how Anthropic serves its most strategic customers, and your team's field insights will directly influence product direction.
This role requires someone who thrives in ambiguity and is energized by building from zero to one. You'll be defining what good looks like for FDE management at Anthropic — there is no existing playbook to follow.
Responsibilities
Hire, develop, and retain a world-class team of Forward Deployed Engineers. Set a high bar for technical talent and customer instincts.
Conduct regular 1:1s, provide technical mentorship, and invest in the career growth of each team member. Create an environment where FDEs do the best work of their careers.
Staff and oversee customer engagements across your team's portfolio, making resource allocation decisions that balance customer needs, team development, and business priorities.
Collaborate with account teams and Engagement Managers during the pre-sales process to qualify engagements, scope work, and inform statements of work.
Review technical architectures and code produced by your FDEs, ensuring the team ships high-quality, production-ready solutions that solve real customer problems.
Stay hands-on enough to lead technical discovery sessions, prototype solutions, and debug complex issues alongside your team when needed.
Build repeatable playbooks, starter repositories, integration templates, and an internal knowledge base that captures what your team learns in the field.
Define team OKRs that tie to customer success outcomes and product adoption goals. Create operational cadences — standups, retros, engagement reviews — that keep the team aligned.
Partner with Product and Engineering to translate field insights into product improvements. Serve as the voice of the customer in internal planning.
Travel to customer sites as needed (25-50%), particularly during engagement kickoffs and for your team's highest-priority accounts.
You may be a good fit if you have
10+ years of experience in software engineering, solutions architecture, or a technical customer-facing role such as forward deployed engineering or consulting.
2+ years of people management experience within a services/post-sales/FDE organization with a track record of hiring, developing, and retaining strong engineers.
Experience building organizations from 0->1, not just inheriting an existing one.
Experience working directly with enterprise customers on technical implementations, including comfort navigating complex organizational dynamics.
Executive presence with the ability to move fluidly between strategic conversations with senior stakeholders and hands-on debugging sessions with engineers.
Strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences.
Genuine excitement about building something new and defining what great looks like for a team that doesn't yet exist.
Why this role matters
You'll be a founding leader of a team that defines how enterprises adopt and scale AI. Your work will directly influence Anthropic's product direction, create reusable patterns for the broader customer base, and establish Anthropic as the trusted partner for AI transformation — all while advancing the responsible development of frontier AI systems.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€235.000
—
€295.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Belgrade, Remote
Workplace: remote
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 15 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 40,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $10 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $4.3 billion.
We are forming a new Observability team responsible for the design, evolution, and operation of our company-wide monitoring, logging, and tracing platforms.
This role is a key part of our strategic shift from Datadog to a self-hosted observability stack fully compliant with local regulatory requirements.
Today, we operate multiple observability systems — our legacy stack based on Datadog (logs, metrics, APM, RUM, dashboards, and alerts), and our new Elastic Enterprise platform used for storing audit, access, application, and database logs required by regulators.
On top of Elastic, we've built SOC2 and SIEM integrations with external vendors.
You'll be part of a small, highly technical team tasked with defining the future of observability at scale - designing, migrating, and maintaining the platforms that power visibility, compliance, and reliability across the organization.
Key Responsibilities
Build and operate the new observability platform on Kubernetes: telemetry collectors, Kafka-based ingestion and processing pipelines, and the storage and query layer (ClickHouse, Mimir, Grafana)
Automate the platform's infrastructure with Terraform, Helm, and GitOps tools (FluxCD or ArgoCD)
Troubleshoot the platform end-to-end (Kubernetes, networking, pipelines) and plan its capacity, scaling, and cost
Support and gradually decommission Datadog integrations (logs, metrics, APM, RUM, dashboards, monitors)
Collaborate with SRE, DevOps, and Security teams to ensure observability compliance and integration with SOC 2 / SIEM
Define and maintain SLIs, SLOs, and error budgets, improving service reliability and visibility
Document architecture, data flows, and best practices
Requirements:
Must Have:
4+ years in DevOps / SRE / Observability roles
3+ years running production workloads on Kubernetes
Infrastructure as code with Terraform
Solid Linux and networking fundamentals, with strong troubleshooting skills
Hands-on experience with a public cloud (GCP preferred; AWS or Azure also welcome)
Experience building or operating data pipelines or observability platforms at scale (logs, metrics, or traces)
Nice to Have:
OpenTelemetry (collectors, Grafana Alloy, instrumentation)
Kafka and ClickHouse
Hands-on experience with metrics and APM platforms (Prometheus, VictoriaMetrics, Mimir, etc.) and Grafana
Elastic Stack (Elasticsearch, Logstash, Kibana, Beats, log shippers)
Exposure to security monitoring / SIEM integration
Service mesh (Istio)
Why Join Us:
Design and build the next-generation observability platform from the ground up
Work on large-scale, multi-cloud environments with a strong focus on compliance, performance, and reliability
Collaborate with experienced SRE, Platform, and Security teams
Competitive compensation, remote work model, and strong career growth opportunities
What we offer:
Full-time B2B contract
Fully remote setup, work from anywhere in Europe
Up to 20% tax allowance
22 paid leave days annually
Stock options (ESOP) in a fast-scaling, pre-IPO company
Flexi benefits you can use for wellness, travel, or learning
Work alongside a high-performing, international engineering team in a global fintech unicorn
Relocation support is available to our hubs in Armenia, Georgia, Serbia, and Spain, including flights, temporary accommodation, and legal setup.
Location: Belgrade, Remote
Workplace: remote
Tabby creates financial freedom in the way people shop, earn and save by reshaping their relationship with money. Over 25 million users choose Tabby to stay in control of their spending and make the most out of their money.
The company’s flagship offering allows shoppers to split their payments online and in-store with no interest or fees. Over 70,000 global brands and small businesses, including Amazon, Noon, IKEA, and SHEIN use Tabby to accelerate growth and gain loyal customers by offering easy and flexible payments online and in stores.
Tabby generates over $18 billion in annual transaction volume for its partner brands and is the highest-rated, most-reviewed, largest, and fastest-growing FinTech in the GCC region.
Tabby launched in 2019 and has since raised +$1 billion in equity and debt funding from global and regional investors, and is now valued at $6,5 billion.
About the role
As the Senior Marketing Analyst for CRM, you will be the
single analytics owner
of CRM - the person marketers come to as a partner. You will own how campaigns are measured, how the communication data is built and trusted, and how insights turn into decisions: what to stop, scale, or fix.
You will work closely with CRM marketers, Product, and the data platform team. You define what data you need and accept its quality; you do not build the pipelines yourself.
What you will be doing
Be the analytics partner to CRM marketers and Product on every initiative. Work with them on how to improve results.
Answer "how do we correctly measure CRM activity" questions: choosing the right measurement design for a campaign type (always-on journeys vs one-off blasts vs product launches), defining what "delivered" means per channel, and defending the methodology to stakeholders
Explain the technical side in plain language: how an experiment works, what a holdout is for, why a number can or cannot be trusted, so marketers make decisions they actually understand
Own how CRM performance is measured: control groups, holdouts, A/B tests
Own the CRM analytics data in dbt on BigQuery: who gets which message, on which channel, for which product, and how often
Be the customer of the data platform team: say what data you need from the CRM and attribution tools, agree on timelines, and sign off on quality. You own what the numbers mean; they build the pipelines.
Build Tableau dashboards that earn their place: visualisations stakeholders can open to check a hypothesis, answer their own question, or spot an insight in minutes.
Keep the self-serve AI analytics assistant up to date, so non-technical colleagues can get answers to simple questions and run their own ad-hoc analysis without waiting for an analyst
Work with a data science team, ask the right questions about a recommendation or propensity model, spot when it is not doing its job, and drive the test that proves it
What you will need
3+ years of experience as a data/marketing/CRM analyst, with exposure to CRM, lifecycle, or retention analytics
Strong SQL and hands-on dbt experience (we run dbt on BigQuery); experience designing and maintaining data models, not just querying
Experience with CRM engagement platforms:
Customer.io
, MoEngage, Braze, Iterable or similar: you understand journeys, events, profile attributes, and delivery semantics
Solid experience with marketing experimentation: holdout design, global static control groups, control group integrity, A/B tests, incrementality vs attribution
Proficiency in Python
Proficiency in Tableau (or similar BI tool)
Proactive ownership:
you find problems in data and processes before stakeholders do, audit your domain independently, and bring your own agenda and ideas on how to achieve business goals.
Thinking partnership:
stakeholders should be able to brainstorm with you, not just hand you tasks.
First-time-right quality:
numbers you ship are trusted without a second verification pass;
Nice-to-have
You now how Uplift modeling and causal ML works and can create MVP version
Propensity / churn / LTV modeling
Benefits:
Locations
We hire candidates based within
four hours of Dubai time
, with remote work available in eligible locations. Depending on your circumstances, we can also discuss an individual relocation plan to our hubs in Armenia, Georgia, Serbia, Poland, and Spain.
What you can expect
Flexible working hours, coordinated with your team and the needs of your role.
Autonomy and responsibility from day one.
Opportunities to grow through the quality and impact of your work.
Participation in our employee stock option program.
We’re committed to an inclusive, high-performing workplace where people from different backgrounds have the support to grow and achieve their goals.
If this sounds like the right opportunity for you, we’d love to hear from you.
▪️ Advanced knowledge of affiliate traffic sources, funnels, cost models, and tracking and attribution. ▪️ Extensive experience with lead generation and outreach automation.
Location: Bangalore, India
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 a Senior Backend Engineer on Development Health, you'll help make the systems that engineering teams rely on more reliable, maintainable, and easier to extend. You'll build and improve the automation, tooling, and data that help teams spot problems early and ship with less friction.
As customer zero for GitLab, we support engineering workflows on GitLab's own product at scale. You'll use the product in demanding, real-world ways, surface the friction and gaps you find, and contribute to improvements that get built into the product for GitLab's customers.
You'll support work such as:
Health alerting and remediation routing for GitLab's core continuous integration and continuous delivery (CI/CD) pipelines
Flaky and slow test detection systems
Engineering analytics and reporting that engineering teams use to make decisions
What you’ll do
Own and evolve core Development Health systems, from design through production.
Improve the reliability, maintainability, and test coverage of long-lived automation, and reduce reliance on undocumented knowledge by documenting and simplifying legacy systems.
Partner with engineering managers and product teams to identify workflow pain points and turn them into well-scoped, measurable improvements.
Work with data to show whether changes improve engineering health, and use it to prioritize.
Mentor intermediate engineers through code review, design feedback, and pairing.
Communicate clearly in writing and asynchronously, including status, tradeoffs, and proposals for stakeholders across Engineering.
Monitor the health of production systems, troubleshoot incidents, and contribute to root cause analysis.
Use artificial intelligence (AI) agents and assistants to analyze issues and problem areas to help shape the team's product roadmap.
Take part in on-call or operational support where your team’s ownership model requires it.
What you’ll bring
Substantial experience as a backend or tooling engineer, with a track record of owning production systems end to end.
Strong proficiency in Ruby, or the ability to become productive quickly.
Experience maintaining or modernizing legacy codebases safely.
Comfort with CI/CD systems, application programming interfaces (APIs), and automation at scale.
Independent problem-solving and clear, concise written communication: you spot problems early, raise risks proactively, and drive work to completion without close direction.
Experience writing automated unit and integration tests and taking part in collaborative code review.
Experience using AI coding assistants to speed up development while critically reviewing their output.
Optional experience: Rails; developer productivity, engineering analytics, or internal tooling; GitLab's product and open source contribution workflow; data pipelines or metrics reporting; or agent-based workflows that run in production.
About the team
Development Health is part of Developer Experience. Our work is mostly internal, and our customers are GitLab team members across an engineering organization of hundreds of engineers.
We're all-remote, asynchronous by default, and documentation-driven, in line with GitLab's values of collaboration, results, efficiency, diversity, inclusion and belonging, iteration, and transparency.
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: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Platform Intelligence turns each new Claude model's abilities into API features that developers can build on. Our goal is to make the full intelligence of each model available through the API. We own the capabilities that shape what Claude can do for developers: tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and the memory, files, and skills APIs.
We also run the API side of every Claude model launch, including its safety features and controls. That means getting the API ready for each new model, coordinating with research, safeguards, product, and cloud partners, and making sure the model, its features, the SDKs, and the docs all ship together on launch day.
The work sits where research meets product. We work with new models before they are public. When a model gains a new ability, we work out what it should look like as an API, build it, and ship it to developers on our own platform and on cloud platforms. Those decisions shape how developers first use each model. We also own API versioning and the evals that tell us a capability works in production.
What you'll do
You'll lead the design, build, and operation of API capabilities used by developers around the world. You'll work with research to understand what a new model can do and turn that into an interface that is simple, durable, and hard to misuse.
You'll lead the API side of new model launches. You'll plan the work, track readiness across teams, resolve the issues that come up late, and see the launch through on the day. Between launches, you'll make the next one faster and safer.
You'll set technical direction for work that spans several teams, write clear design proposals, review API designs from other teams, and mentor engineers on the team.
Representative projects
Lead API readiness for a Claude model launch, so that every feature works on day one across our API, SDKs, docs, and cloud partners
Take a new model ability from research prototype to public API feature, from interface design to production rollout
Build and operate tools such as web search and code execution under real traffic
Automate the manual parts of a model launch
Build the evals that catch a capability regression before a launch
You might be a good fit if you:
Have led technical projects that spanned several teams, from design through launch and operation
Have designed and operated production distributed systems where correctness, latency, and availability all matter
Have strong product sense and care about API design and developer experience
Make sound technical decisions with incomplete information, as models and priorities change close to a launch
Explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers
Make the engineers around you better through design review and mentoring
Use AI tools as a regular part of how you design, build, and review software
Care about the societal impacts of your work and Anthropic's mission to build safe, beneficial AI
Strong candidates may also have:
Building public APIs, SDKs, or developer platforms
Working with large language models, including tool use, agents, or evals
Running launches or migrations with fixed deadlines and many dependent teams
Building tools for agents, such as search or code execution
Storage, memory, or context systems at scale
Integrating with cloud platforms such as AWS, Google Cloud, and Azure
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York, NY (HQ); Remote (US)
Workplace: Hybrid
ABOUT RAMP
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About the Role
Ramp's Advisory & Services channel is one of the most strategically important growth levers in the business. As an Advisory& Services Partner Development Representative (PDR), you'll be the engine behind acquiring, reactivating, and qualifying the consulting firms, System Integrators (SIs), and advisory practices that refer, implement, or integrate Ramp for their clients.
You'll be holding conversations with partnership heads, business development leads,Managing Directors, and practice leads at consulting firms, ERP implementation shops, and strategic advisory practices - building relationships that turn into signed referral agreements and a pipeline of activated partners that are Ramp champions.
This role is perfect for someone who:
- Is gritty and relentless - comfortable reaching out to firm leaders who are slow to respond and keeps going anyway
- Carries real executive presence and can credibly hold a conversation with a Partner or MD at a top-tier firm
- Has a strong client hand - naturally curious about how consulting and advisory firms serve their clients, and speaks their language
- Thrives when the playbook is still being written and takes ownership of building it
- Embraces AI to augment and automate processes to drive greater efficiencies for workflows
What You'll Do
- Source and qualify net new consulting, advisory, and technology partners that can drive referral pipeline and commercial value to Ramp, focused on firms with active CFO-level client relationships
- Build top-of-funnel pipeline for Channel Partner Managers by qualifying partner candidates against Ramp's tiering criteria and handing off warm, ready-to-activate relationships
- Reactivate dormant services partners across Ramp's existing book of ~400 consulting, technology, and advisory firms - identifying which relationships have gone cold and reigniting them through strategic, senior-level outreach
- Identify and engage system integrators (SIs) and ERP implementation specialists - specifically firms in the NetSuite, Sage Intacct, Dynamics, and Odoo ecosystems - to build Ramp's productized SI implementation program
- Craft outbound messaging and campaigns tailored to services partner archetypes - boutique firms, PE-focused advisory practices, tech consulting firms, and ERP implementation shops
- Maintain accurate partner and opportunity data in Salesforce; track pipeline health across both dormant reactivation and net new acquisition motions
- Leverage AI tools and lightweight automations to scale partner outreach, surface reactivation opportunities, and build repeatable workflows across a high-volume partner book
What You Need
- Grit and drive to run a high-volume, high-quality outbound motion against senior contacts who are hard to reach - and the persistence to keep going
- Executive presence: you can hold a credible conversation with a Partner or Managing Director at a consulting or advisory firm, and they take you seriously
- Deep understanding of how consulting firms go to market, how they serve CXO-level clients, and drive influence
- A client-oriented mindset - you lead with what's in it for the partner's business, not just Ramp's
- Strong written communication skills - outreach that is pithy, credible, and gets responses from senior people at busy firms
- Comfort managing a large, segmented partner book and staying disciplined across long reactivation and qualification cycles
- 1-3 years of experience in partnerships, channel sales, business development, or sales development or as a business analyst in a strategy consulting firm (e.g., McKinsey, Bain, BCG)
- Bachelor's degree from a four-year university
Nice to Haves
- Background at - or selling to - consulting firms, strategy practices, Systems Integrators (SIs) or advisory businesses
- Exposure to ERP ecosystems: NetSuite, Sage Intacct, Microsoft Dynamics, Odoo, or similar implementation partner communities
- Familiarity with how system integrators operate: how they price services, staff implementations, and build revenue relationships with technology vendors
- Experience working in a partner channel that was still being built - first rep in a motion or early team member in a new GTM track
- Background in B2B fintech, SaaS, or financial services
- Familiarity with Salesforce or similar CRM tools
- Hands-on experience using AI tools (specifically Claude Code), building basic automations (bots, workflows, etc.) to drive efficiency in a sales, partnerships, or business development context
BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL)
- Flexible PTO
- Centralized home-office equipment ordering
- Health and wellness stipend
- Budget for intra-office travel
- Weekly coffee stipend
UNITED STATES
- 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
- One Medical annual membership
- 401(k), including employer match on contributions made while employed by Ramp
- Fertility HRA (up to $10,000 per year)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
- Pet insurance
- In-office perks: lunch, snacks, drinks, and more
- Relocation expense coverage to NYC or SF (if needed)
CANADA
- Group medical, dental, and vision coverage through Sun Life
- Life, AD&D, and disability coverage
- Fertility drug coverage (up to $4,000 lifetime)
- Group Retirement Plan with employer match (RRSP + DPSP)
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
- Employee Assistance Program and virtual care through Lumino Health
UNITED KINGDOM
- Private medical insurance through Freedom Elite
- Virtual GP and at-home care via eMed x Livi
- Workplace pension through Penfold, with salary sacrifice option
- Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
REFERRAL INSTRUCTIONS
If you are being referred for the role, please contact that person to apply on your behalf.
OTHER NOTICES
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
The Claude Partner Network is how consulting firms, systems integrators, and other services partners build practices around Claude. When a company chooses a partner, it wants to know which firms have done this work well, in its industry and for its use case. Specializations are how the program will give it: credentials showing that a partner has demonstrated expertise in a given domain area.
As Partner Specializations Lead, you'll own this program end to end: the requirements a firm has to meet, the evidence review that decides who qualifies, the benefits that make a specialization worth earning, and the operating rhythm that keeps it credible year after year. Your job is to take an early framework into a structure that scales: opening it to thousands of partners, running evaluation cycles, and launching new specializations with cross-functional input.
This role suits someone who likes owning a standard. You'll work with partner managers, operations, enablement, marketing, and industry teams who each hold a piece of the program, and with senior leaders at partner firms who care a great deal about the outcome. A specialization only means something if it's earned, so you'll need to be rigorous with evidence, consistent in your decisions, and firm and clear when the answer is no.
Key responsibilities
Own each specialization's requirements, evidence standards, and benefits, and keep them current as our products and the partner network change
Run each evaluation cycle from invitation to decision: collect partner evidence, reconcile it against internal data, lead the review, and document every decision
Make and defend qualification decisions, including borderline cases, and apply the standard consistently across firms of very different sizes
Communicate outcomes to partner executives and their Anthropic account teams, including clear guidance for firms that did not qualify
Open the program to the wider partner network, and recommend which specializations come next based on customer demand, partner readiness, and Anthropic's priorities
Define the evidence standard for new specializations with Applied AI, Product, and industry go-to-market teams
Coordinate the teams that deliver the program's benefits (marketing, the partner directory, field enablement, technical support) so that earning a specialization leads to something real
Work with Partner Enablement so that partner learning paths and certifications support each specialization
Build the operating rhythm: renewal, remediation periods, an appeals path, and the tracking and reporting that show whether the program is working
Design the review process to scale, using Claude and automation so that routine steps don't depend on a person
Write and maintain partner-facing guidance (program guide sections, FAQs, application materials), clear enough for a partner to know where it stands without asking us, and internal guidance for field teams
Use program data to recommend where each requirement's bar should sit and when it should move, and bring those recommendations to partner leadership
Minimum qualifications
Experience owning an external-facing program with published requirements (a partner, channel, certification, accreditation, or similar program), including running at least one full evaluation, qualification, or renewal cycle
Experience making qualification or eligibility decisions against a written standard and communicating those decisions, including declines, to senior external stakeholders
Experience working with CRM or PRM data, such as Salesforce reports or a partner portal, as a regular part of your job
Strong writing: able to produce clear program requirements, decision memos, and partner-facing guidance that need little editing
Experience leading work to a fixed date across several teams you do not manage, such as operations, marketing, enablement, and field teams
Work effectively where the process is still being built and the details are still changing
Are excited about Anthropic's mission to develop AI that is safe and beneficial
Preferred qualifications
Experience designing or running a partner competency, specialization, or credential program at a technology company
Experience with services partners (systems integrators, consultancies) from either side: managing them at a vendor, or building a practice around a vendor's technology at a firm, and an understanding of how those firms decide where to invest their people
SQL or BI-tool skills sufficient to pull and check your own program data
Experience taking a program from its first launch to a repeatable operating cycle
Experience launching a program publicly with marketing and communications partners
Enough technical depth to judge whether a partner's evidence of a software or AI deployment holds up
Experience working with customers in regulated or specialized industries, such as financial services, healthcare, or the public sector
Experience designing partner benefits or incentives, and an understanding of how they change partner behavior
Hands-on experience building AI workflows with Claude or similar tools, and curiosity about how AI changes professional services delivery
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$300,000
—
$365,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: AU: Brisbane (243 Edward St)
Workplace: Hybrid
The role & it's impact:
As a Solutions Consultant you will act as a trusted technical advisor and strategic partner, working alongside our sales team to deliver custom solution designs for accounting practice partners. You will translate complex partner requirements into scalable workflow strategies, identifying potential risks early and helping client firms unlock maximum long-term value from the Xero platform.
By combining deep accounting knowledge with consultative technical expertise, you will lead solution scoping, conduct tailored product demonstrations, and guide partners through seamless migrations. Your efforts will directly drive active software adoption, transforming accountants and bookkeepers into passionate, long-term champions.
The team & how they connect:
You will join a collaborative team of seven reporting directly to our Solutions Consultant Manager. The team serves as the vital bridge between account executives, product engineering, and external practice partners. Together, you will share market insights internally to shape product features while co-designing tailored technical strategies for client growth.
Initially, the role will focus on:
- Leading technical discovery and tailored solution scoping in partnership with Account Executives
- Designing and delivering engaging, custom product demonstrations to address specific firm workflow challenges
- Guiding new practice partners through cloud implementation, workflow mapping, and early adoption up skilling
- Providing expert technical support during sales cycles to overcome operational roadblocks and objections
Where and how you can work:
We support a flexible hybrid working model designed to give you balance while keeping you connected. This role is based in Brisbane with modern office facilities available for collaborative workshops, team connection, and boost days, alongside flexible work-from-home options.
Here are some of the things we are looking for:
- Solid operational experience gained directly within an accounting or bookkeeping practice environment
- Proven success in consultative problem solving, pre-sales or technical solution design within complex environments
- Strong ability to communicate complex concepts simply and present engaging sessions or demonstrations to diverse audiences
- Deep familiarity with cloud-based accounting platforms and broader practice workflow software ecosystems
- Practical experience or comfort leveraging modern productivity technologies, including AI tools, to build efficient solutions
- Highly developed interpersonal skills with the confidence to navigate ambiguity and partner effectively across internal and external teams
At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team so we encourage you to apply even if your experience isn't a perfect match!
Location: Singapore
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About Anthropic
Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As the founding leader of Applied AI Solutions Architecture in Singapore, you will drive the adoption of frontier AI by enabling the deployment of Anthropic's products (Claude for Enterprise, Claude Code, and API) across ASEAN enterprises and digital-first organizations. You'll leverage your technical skills and consultative sales experience to drive positive AI transformation that addresses our customers' business needs, meets their technical requirements, and provides a high degree of reliability and safety.
You'll be responsible for building and leading the ASEAN Applied AI team from the ground up. Applied AI comprises Solutions Architects, Product Engineers, and Finetuning Engineers. You will establish processes and best practices for the region's technical pre-sales engagements based on your years of experience, help each team member achieve success, high productivity, and career growth, and represent Anthropic as a technical lead on some of its most important partnerships across ASEAN.
In collaboration with the Sales, Product, and Engineering teams globally and locally, you'll help enterprise partners across ASEAN incorporate leading-edge AI systems into their cutting-edge products and platforms. You will employ your excellent communication skills to explain and demonstrate complex solutions persuasively to technical and non-technical audiences alike. You will play a critical role in identifying opportunities to innovate and differentiate our AI systems, while maintaining our best-in-class safety standards.
Responsibilities
Build and manage the foundational team of Applied AI professionals in ASEAN regions (Solutions Architects and Product Engineers) providing both technical guidance and career development
Set goals and reviews for your team, promoting growth and output
Work with a handful of highest-value enterprise customers across ASEAN on their overall AI adoption strategies, focusing on pre-sales technical excellence including use case scoping, technical champion building, and POC execution
Partner closely with your aligned GTM leadership to understand customer requirements & co-build GTM strategies to drive adoption for ASEAN enterprise customers
Contribute to thought leadership through conference presentations, webinars, and technical content creation within the ASEAN market
Own the technical portions of pre-sales engagements, ensuring your team provides compelling demos and validates enterprise customer ROI from Anthropic products
Drive collaboration from cross-functional teams to influence and unify stakeholders at all levels of the organization to drive business outcomes
Travel regularly to customer sites across ASEAN for executive-level sessions, technical workshops, and building relationships
Establish a shared vision for creating solutions that enable beneficial and safe AI in technology products
Lead the vision, strategy, and execution of innovative solutions that leverage our latest models' capabilities
Stay current with emerging AI/ML trends and competitive landscape in the ASEAN enterprise tech sector, including the region's highly regulated industries (financial services, government, resources)
You may be a good fit if you have
15+ years of experience as a Solutions Architect, Sales Engineer, or similar pre-sales technical role
5+ years of technical go-to-market management experience, specifically managing pre-sales teams
Experience working with ASEAN enterprise customers and understanding local business culture, procurement processes, and decision-making dynamics across ASEAN
Familiarity with the ASEAN regulatory landscape (e.g., Singapore Privacy Principles, APRA CPS 234, data sovereignty requirements) and how it impacts enterprise AI deployments
Experience with the unique technical requirements and technical procurement process of enterprise tech companies
Deep technical proficiency with enterprise AI deployments, API integrations, and production LLM use cases
Have an organizational mindset and enjoy building foundational teams in a relatively unstructured environment
Have excellent communication, collaboration, and coaching abilities
Are comfortable dealing with highly uncertain, ambiguous, and fast-moving environments typical of the tech industry
Strong executive presence and ability to foster deep relationships with technical leaders and engineering teams
Have at least a high level familiarity with the architecture and operation of large language models and/or ML in general
Experience with prompt engineering, LLM evaluation, and architecting AI-powered systems
Make ambiguous problems clear and identify core principles that can translate across scenarios
Have a passion for making powerful technology safe and societally beneficial
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks
Stay up-to-date and informed by taking an active interest in emerging research and industry trends
Understanding of developer tooling, SDKs, and technical integration patterns common in enterprise tech companies
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
The Scheduling & Reservations Coordinator plays a key role in supporting clients by managing scheduling requests, coordinating reservations, and maintaining accurate records. Coordinate scheduling and reservation requests following established processes.
Location: Kazakhstan; Georgia; Poland; Spain; Lithuania; Serbia
Crystalia Glass designs, manufactures and installs architectural glass systems, including glass partitions and doors for residential and commercial spaces across the US.
We are strengthening our Training Department and are looking for a Training Specialist to help employees understand our products - from their features and applications to configuration options and technical differences - and confidently use this knowledge in their daily work.
This is a hands-on role focused on live online training, regular knowledge assessments and targeted learning plans for new and existing employees. You will turn technical information into clear learning materials, develop tests and practical assignments, analyze results and share best practices. Success means measurable improvement in product knowledge and its application across the team.
Full-time, remote work.
Working hours: 8:30 am–5 pm, New York time, with some flexibility.
B2B contract (sole proprietorship or corporate entity).
Responsibilities
Deliver interactive online training on products and internal processes, using discussions, practical exercises and role-plays.
Regularly assess product knowledge across existing teams through knowledge checks, exams, certifications and recertifications.
Develop and update tests, practical assignments and assessment criteria to check both knowledge and its application.
Analyze results, identify individual and team knowledge gaps, and create targeted learning plans. Deliver refresher training and reassess progress.
Collect best practices and real work examples from experienced employees and turn them into practical learning materials.
Coordinate onboarding training and manage LMS assignments, learning paths, training records and reports.
Create and update presentations, guides and online courses with internal experts, using feedback and assessment results to improve training.
Requirements
2–3 years of relevant experience in employee training, onboarding or learning and development.
Hands-on experience delivering live online training for adults, with strong presentation and facilitation skills.
Ability to explain complex and technical topics clearly, encourage participation and adapt training to different audiences.
Experience creating learning materials, tests and practical assignments, analyzing results and addressing knowledge gaps.
Confident use of online meeting and presentation tools and basic experience with a learning management system (LMS).
Strong organizational and communication skills, attention to detail, and the ability to learn unfamiliar products and processes independently.
English C1 or above and Russian.
Bachelor’s degree in any field.
Nice to have
Experience delivering training on complex physical products, technical systems or internal processes.
Experience with sales training or customer-facing teams.
Experience running employee certifications and recertifications.
Experience creating e-learning courses and using iSpring, Canva or similar tools.
Experience using AI to support training preparation and content creation.
Relevant training certifications or a portfolio of learning materials.
Benefits
Remote work with an international team serving the US market.
Opportunities to develop your training and content creation skills.
Paid vacation and sick leave under company policy.
Location: Warsaw, Poland
Are you looking for the next professional opportunity that will challenge you and advance your career? Join our team now!
Tickmill is looking to hire a Lead of Product, Exchange-Traded Products
to join our rapidly expanding team.
About Tickmill
Tickmill is an award-winning, multi-regulated broker offering a wide range of asset classes including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies and Bonds, as well as Exchange Traded Derivatives (Futures & Options).
The Tickmill Group was established in 2014 and employs over 290 individuals through its offices in London, Cyprus, Estonia, South Africa, and several other regional offices globally.
Our philosophy is based on trust, transparency, and diversity, reflected in both our workplace culture and outstanding customer support. Our employees, a multilingual team of highly skilled professionals from every continent, are the backbone of the company. Their hard work and dedication are what make it possible to rank among the best in the industry. Tickmill offers a competitive benefits package, team-building events, and many opportunities for professional growth.
Join the Tigers!
What the job looks like?
The
Lead of Product, Exchange-Traded Products
will have the opportunity to:
Own and drive the expansion of Tickmill's Stocks & Exchange-Traded Products offering.
Define the product strategy, roadmap, and business objectives for Stocks, ETFs, and related investment products.
Lead the trading and investing experience across web and mobile platforms, including market data, order management, portfolio views, reporting, and corporate actions.
Partner closely with Engineering, UX/UI, QA, Compliance, Brokerage, Operations, Sales, Marketing, Affiliates, and other key stakeholders to deliver products from concept to market.
Define and prioritize product features based on customer needs, regulatory requirements, technical feasibility, and business objectives.
Work closely with exchanges, market data providers, clearing brokers, custodians, and technology vendors to enhance and scale the product offering.
Help define scalable operating models that balance global consistency with local market requirements.
Support acquisition, activation, retention, and engagement initiatives in collaboration with Sales, Marketing, Affiliates, and Partnerships teams.
Establish KPIs and continuously optimize client adoption, trading activity, customer engagement, and commercial performance.
Champion a simple, intuitive, and mobile-first investing experience for retail clients.
What will you need to be able to do the job?
7+ years of Product Management experience.
3+ years of experience building or managing Stocks, ETFs, Equities, or other Exchange-Traded Products within a brokerage, investment platform, exchange, fintech, or wealth management environment.
Strong understanding of equities market structure, order management, trade execution, settlement, custody, market data, corporate actions, and retail brokerage operations.
Proven track record of successfully launching, scaling, and optimizing trading or investment products.
Demonstrated experience designing and optimizing customer journeys, onboarding experiences, and product UX using customer insights, analytics, and experimentation.
Strong stakeholder management skills with the ability to lead complex cross-functional initiatives.
Strong technical understanding and the ability to collaborate effectively with engineering and technology teams.
Excellent analytical, strategic thinking, communication, and problem-solving skills.
Proficient in English with excellent written and verbal communication skills.
It will be considered as a plus if you have:
Experience designing, supporting, or optimizing affiliate, referral, Introducing Broker (IB), and partner acquisition journeys.
Experience working with providers such as Interactive Brokers, Saxo, DriveWealth, Apex, Alpaca, or similar brokerage infrastructure platforms.
Experience in scaling global investment products across multiple regulatory jurisdictions.
Experience working within a mobile-first investing or digital wealth management environment.
Knowledge of international equities markets and multi-asset investing products.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience.
Opportunities to learn and grow through our “Employee Training & Development program”.
Multiple events to bond with the team and the group.
Birthday and Loyalty benefits.
What to expect from our recruitment process:
First interview with HR.
Product and stakeholder management interview.
Final interview with top management.
Make your next career step and apply NOW!
Due to the great number of applications we receive for each of our open vacancies, we are unable to respond on an individual basis.
United Kingdom - Remote
УдалённоRemote; Europe
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.
УдалённоseniorBelgrade, Remote; Relocation support is available to our hubs in Armenia, Georgia, Serbia, and Spain, including flights, temporary accommodation, and legal setup
УдалённоseniorBelgrade, Remote; We hire candidates based within; Depending on your circumstances, we can also discuss an individual relocation plan to our hubs in Armenia, Georgia, Serbia, Poland, and Spain
seniorBangalore, India
San Francisco, CA | New York City, NY; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
ГибридNew York, NY (HQ); Remote (US); Relocation expense coverage to NYC or SF (if needed)
leadSan Francisco, CA | New York City, NY
ГибридГеография найма не уточнена
headSingapore
УдалённоKazakhstan; Georgia; Poland; Spain; Lithuania; Serbia