Location: United States
Workplace: Remote
About Cantina:
Cantina Labs is a social AI company, developing a suite of advanced real-time models that push the boundaries of expression, personality, and realism. We bring characters to life, transforming how people tell stories, connect, and create. We build and power ecosystems. Cantina, our flagship social AI platform, is just the beginning.
If you're excited about the potential AI has to shape human creativity and social interactions, join us in building the future!
About the Role:
Cantina is a place where people create AI characters and the videos those characters star in, and the catalog grows far faster than anyone can browse. Search and recommendations are what turn that catalog into a product: they decide which characters a new user meets in their first minute, which creators get discovered, and what appears in every feed, leaderboard, and discovery surface we ship. We are hiring a Senior Staff Software Engineer to own that area end to end — retrieval, ranking, relevance quality, and the roadmap for all three. This is the first dedicated hire for search and recommendations, so you will inherit a real production system serving live traffic along with a large amount of unclaimed ground, and you will set the technical direction rather than execute someone else’s.
What you'll do:
- Own the architecture and roadmap for search and recommendations end to end — query understanding, retrieval, ranking, and the surfaces they feed: search, discovery, the home feed, and our trending and creator leaderboards.
- Make relevance a measured discipline rather than an opinion: define the quality metrics per surface, build the offline evaluation and golden-set tooling, and run the online experiments that decide whether a ranking change ships.
- Design and evolve the ranking stack — engagement signal pipelines, decay and freshness models, and the pattern we use to combine pre-computed index-time signals with live re-ranking at query time.
- Own OpenSearch in production: index and mapping design, reindex and cutover safety, query performance, cost, and the operational headroom of the clusters behind every discovery surface.
- Build candidate generation and personalization for recommendation surfaces, and partner with data and ML on the feature pipelines and models behind them.
- Work directly with Product and Trust & Safety on what “good” means for each surface — quality gates, cold-start behavior for brand-new creators and characters, and what must never be recommended.
- Set the engineering standard for the area: instrumentation, flag-gated rollouts, and runbooks that let other teams change ranking behavior without breaking it.
- Act as the technical point of contact for discovery across backend teams, and mentor the engineers whose work touches it.
What you'll bring:
- 10+ years building production software, with substantial depth in search, ranking, recommendations, or ML-driven relevance on a consumer-scale product.
- Hands-on expertise with a production search engine — OpenSearch, Elasticsearch, Lucene, Vespa, or similar — covering index and analyzer design, relevance tuning, and operating the cluster, not only querying it.
- A rigorous approach to relevance measurement: you have owned offline evaluation, golden sets, and A/B or interleaving frameworks, and you can explain what moved a metric and why.
- Fluency across the recommender stack — candidate generation, feature pipelines, embedding retrieval, re-ranking — and a working understanding of the serving constraints that make an offline win fail online.
- Strong distributed systems and backend fundamentals, with production experience in Go or a comparable systems language, and comfort in the data layer behind it (SQL warehouses, streaming and batch pipelines).
- Demonstrated ownership of an ambiguous area: you have picked up something with no dedicated owner, decided what mattered, and can show the result.
- Clear written communication and the judgment to work with Product on real tradeoffs between relevance, freshness, safety, and latency.
- Preferred: experience with AI-generated or rapidly growing content catalogs, severe cold-start conditions, or ranking under trust-and-safety constraints.
Compensation:
The anticipated annual base salary range for this role is between $250,000 - $320,000 (USD). When determining compensation, a number of factors will be considered, including skills, experience, job scope, location, and competitive compensation market data.
Benefits:
- Competitive salary and generous company equity
- Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
- 42 days of paid time off, including:
- 15 PTO days
- 10 sick days
- 15 company holidays
- 2 floating holidays
- Generous parental leave & fertility support
- 401(k) retirement savings plan
- Lifestyle spending account – $500/month to use however you’d like
- Complimentary lunch and snacks for in-office employees
- One Medical membership, and more!
Location: United States
Our client is hiring a SAR Payload Systems Engineer to support current and next-generation Earth-observation satellites. You will own the definition, design, integration, verification and sustainment of SAR payload subsystems across several satellite programs and act as the technical interface with customers, primes and internal teams. Fully remote from the US is now accepted.
What you will do
• Gather and trace payload requirements from mission level down to subsystem level
• Design the SAR payload architecture: antenna arrays and RF front-end Tx/Rx, digital beamforming, processing chain and digital electronics, power, thermal, mass
• Lead conceptual, preliminary and detailed design with trade studies and performance budgets; produce ICDs; specify hardware and review schematics and layouts
• Performance simulations for tolerance budgeting and image quality; support SAR and moving-target-indication algorithm development; payload DC power budget; FMECA, fault tree, FDIR, reliability
• Build the payload verification master plan (unit, subsystem, payload, environmental and EMC tests); lead test automation and reporting
• Support mission operations: payload health monitoring, on-orbit anomaly root cause, telemetry analysis, operator training
What you need
• Degree in Electrical Engineering, Computer Science or Physics with 5+ years supporting remote sensing system development, integration and test on LEO/MEO missions
• Strong technical writing (requirements, ICDs, test procedures, risk reports) and presentation skills
• Hands-on systems integration and test experience; Confluence and JIRA
• Works well with little supervision; strong written and spoken English (French an asset)
• US citizen or permanent resident
Location: Remote - Riyadh, Saudi Arabia
MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data.
MinIO is looking for a senior partnership and business development executive to own a flagship strategic partnership end-to-end—commercially, operationally, and strategically—as it scales from initial agreement into a multi-year, multi-workstream engagement across the region's sovereign AI infrastructure landscape.
This is a high-visibility, single-account-depth role. You'll sit at the intersection of enterprise sales, channel/reseller strategy, and executive relationship management, with the credibility to operate comfortably at C-level on both sides.
What You Will Do
Own the day-to-day partnership relationship.
Act as the primary point of contact between MinIO and the partner's business and technical teams, keeping both sides aligned on commitments, priorities, and delivery milestones across the joint platform engagement.
Expand the commercial scope of the partnership.
Identify and negotiate opportunities to grow the relationship — new use cases, new regions, upsells, renewals, and expanded terms — building on the existing agreement.
Manage contract renewals and amendments.
Own the negotiation of contract renewals, amendments, and expanded commercial terms as the partnership evolves.
Build and maintain executive relationships.
Serve as the primary business point of contact for partner executives; keep leadership on both sides engaged and aligned on the health and direction of the partnership.
Drive partnership-sourced pipeline and revenue.
Own quota or targets tied to pipeline and revenue generated through the partnership; work with sales to convert the relationship into closed business.
Run joint go-to-market execution.
Partner with marketing and sales to execute co-selling motions, joint offers, and campaigns — including reseller/channel activation — that activate the partnership commercially.
Manage ongoing partner operations.
Run recurring cadences with the partner — QBRs, roadmap syncs, escalation handling — and keep internal stakeholders informed of partnership status, risks, and commercial health.
Navigate reseller and channel dynamics.
Manage complexity across the partner ecosystem, ensuring commercial terms remain consistent with MinIO's broader channel strategy.
Translate partner needs into internal priorities.
Bring partner feedback and requirements back to product and engineering, and advocate for the resourcing needed to keep commitments on track — without owning the product roadmap yourself.
Track and report on partnership performance.
Define and report on KPIs for the partnership — pipeline generated, revenue closed, deployment milestones hit, and overall partnership health — to regional and global leadership.
Represent MinIO externally.
Represent MinIO alongside the partner at industry events (including flagship regional events such as LEAP), conferences, and executive briefings to strengthen the partnership's visibility in the market.
Your Skills and Experience
15–20 years of collective experience across sales, presales, channel/alliances, and business development, ideally within infrastructure, data, or AI/ML companies — with a meaningful portion of that in a strategic partnership or key-account ownership capacity.
Deep, demonstrated familiarity with the Saudi Arabia enterprise technology and sovereign-AI/government-adjacent ecosystem — national AI infrastructure initiatives and the broader Vision 2030 digital infrastructure landscape.
A track record of managing and growing an existing strategic partnership at scale — expanding scope, renewing and amending contracts, and increasing revenue over multi-year horizons.
Comfort owning commercial terms and contract negotiations directly (MSAs, NFRs, exclusivity, revenue share, reseller structures), with support from legal as needed.
Strong working knowledge of object storage, data infrastructure, or AI/ML ecosystems — enough to speak credibly with technical stakeholders on topics like sovereign AI infrastructure, inference/training data pipelines, and platform architecture, even though this is not a hands-on technical role.
Demonstrated success managing a partner relationship that drove measurable pipeline or revenue growth over time.
Excellent relationship-building and executive communication skills — fully comfortable in the room with C-level partners and government-adjacent stakeholders.
Experience with co-selling motions, joint go-to-market execution, channel/reseller management, and partner enablement.
Bilingual fluency in Arabic and English, with a professional communication style suited to the Gulf enterprise and government context.
Based in Riyadh; willing to travel regionally to partner sites, conferences, and industry events as needed.
Equal Opportunity Policy (EEO)
MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.
Location: Freeport, United States
About the Opportunity
We are seeking an experienced, results-driven
Operations Manager / Project Manager
to take full ownership of commercial concrete restoration, waterproofing, and exterior building envelope repair projects. This is an active, on-site field leadership position. You will oversee projects from initial preplanning and scheduling through execution, financial tracking, and final closeout.
As a core member of the management team, you will be accountable for field results. You will directly manage multi-faceted project sequences and lead up to 20+ field personnel and site leads. If you are a disciplined construction professional who thrives on hands-on coordination, real-time decision-making, and strong quality control, we want you on our team!
Key Responsibilities
Preplanning & Setup:
Review contracts, drawings, and specifications. Perform structural and architectural plan reading. Build, update, distribute, and drive project schedules using Microsoft Project. Set up, manage, and ensure project documentation in Procore. Plan labor, material, equipment, and sequencing. Lead meetings, organize activities, and report project progress to stakeholders.
Work in Place (Execution):
Manage, assign, and guarantee day-to-day field operations and work-in-place activities. Responsible to make sure that the delivery of concrete restoration work is completed in alignment with plans and specifications. Plan, adapt, and drive daily schedules accounting for delays, weather, trade coordination needs, or changes. Enforce strong QA/QC processes with in-progress inspections.
Resource & Labor Management:
Manage and report labor productivity, onsite material handling, storage, and utilization. Manage equipment rentals. Directly lead, mentor, and coordinate a field workforce of 20+ leads and personnel.
Financial & Contract Management:
Track budgets, costs, and forecasts. Manage change orders and pay applications. Ensure compliance with contract requirements. Maintain accurate reporting and cost controls.
Project Closeout:
Drive punch list completion and final inspections. Deliver closeout documents and warranties. Finalize project financials and reporting.
Qualifications
Experience:
5+ years of progressive experience managing commercial concrete restoration, waterproofing, or building envelope projects.
Leadership:
Proven track record leading self-performing, hands-on field teams and managing 20+ field personnel and key leads.
Technical Skills:
Advanced proficiency in reading and interpreting structural and architectural plans. Strong understanding of construction budgets, cost controls, and contract management.
Software:
Proficiency in Microsoft Project, Excel, Word, Outlook, and Procore.
Languages:
Bilingual (English/Spanish) is highly preferred.
WHY APPLY?
True Project Ownership:
You aren't just sitting behind a desk. This role gives you the autonomy to drive high-impact, multi-faceted commercial restoration projects from the initial planning stages all the way to the final handshake.
Direct Seat at the Table:
As a vital member of the management team, your field expertise directly influences company operations, strategic scheduling, and project execution models.
Stability & Specialization:
Step into a specialized market sector (concrete restoration and building envelopes) where high-quality field leadership is highly valued and continually in demand.
Dynamic Work Environment:
Work with a team-first, disciplined organization that prioritizes proactive quality control, strong field support, and clear stakeholder communication.
Location: United States
Workplace: Remote
THE ROLE
ClickHouse is the fastest, most resource-efficient open-source database for real-time analytics, and ClickHouse Cloud is growing across every region and segment. Our Solution Architects (SAs) are the technical heart of that growth: They run the proofs of concept, defend the architecture, and win the room against the largest data platforms in the world.
You will be the single owner of global technical sales enablement and SA onboarding at ClickHouse. You are integral in deciding what a ClickHouse SA needs to know, say and do in order to be successful, and you wholly own the build out of the programs to get them there. You will measure everything, incorporate AI, and drive real results that time to revenue impact. You are the connective tissue between Product, Product Marketing, Sales leadership, SA leadership, and the field.
This is a Principal-level individual contributor role. You lead through influence, the systems you build, and the credibility you earn.
WHAT YOU'LL OWN
GLOBAL SA ONBOARDING
- Design and run the end-to-end onboarding program for new SAs across AMER, EMEA, and APJ. These include but are not limited to: Technical foundations, ClickHouse architecture and internals, demo and POC craft, discovery and objection handling, competitive positioning, and our sales process.
- Define and certify ramp. Set clear 30/60/90-day milestones, build the certification and shadow-to-lead progression, and publish time-to-productivity as a metric leadership can see and trust.
- Make onboarding regionally real. Adapt the global program to how each theater sells, and coordinate cohort schedules, mentors, and live sessions across time zones.
TECHNICAL SALES ENABLEMENT STRATEGY AND EVERBOARDING
- Own the global technical enablement plan and its calendar. This includes the quarterly priorities, the programs behind them, and the communication that keeps SA and Sales leadership aligned on what is shipping and why.
- Run product-launch readiness for the field. Partner with Product and PMM so SAs have talk tracks, demo environments, hands-on labs, and competitive positioning before General Availability.
- Build the competitive and architecture curriculum. Deep dives, battlecards, and objection-handling playbooks against the platforms we meet most (cloud data warehouses, search and observability stacks, and incumbent OLAP systems).
- Extend enablement to adjacent technical roles as needed: Account Executives on technical fundamentals, Support on the sales motion, and partners on positioning.
DIAGNOSE, THEN PRESCRIBE
- Start from signals, not requests. Use call recordings, CRM data, win/loss, POC outcomes, certification results, and conversations with SA leaders to find the skill gaps that actually cost us deals, then classify and prioritize them with data.
- Pick the right modality for the gap: hands-on lab, self-serve path, live workshop, AI role-play, peer teaching, or in-the-moment coaching. Measure behavior change and deal outcomes.
- Close the loop. Systematically capture what is breaking in the field (friction, lost deals, recurring objections) and route it to Product, PMM, and Sales leadership as actionable recommendations.
BUILD AT SCALE
- Own the enablement toolchain: the LMS or learning hub, content repositories, certification tracking, and reporting. Keep a single source of truth for what is current.
- Activate SME communities. Identify and support the SAs who are already the best at something, and give them the structure to teach it peer-to-peer across regions.
STAY IN THE FIELD
- Spend roughly 10% of your time in customer-facing moments by joining POCs, account reviews, and live coaching.
- Facilitate. You will personally deliver live sessions, virtually and in person, at onboarding cohorts, regional kickoffs, and Kickoff events.
OPERATE LIKE AN OWNER
- Report on readiness. Define the KPIs (ramp time, certification rates, POC win rate, technical win contribution, workshop effectiveness) and present them in monthly and quarterly business reviews.
- Manage the portfolio. Run multiple programs in parallel, protect the plan from ad-hoc drift, and say no with a reason and an alternative.
- Expand the charter. This role will grow, potentially into hiring and leading a team, owning SKO technical tracks, partner enablement, or a technical certification program for customers.
WHAT SUCCESS LOOKS LIKE IN THE FIRST YEAR
- Every new SA worldwide goes through one global onboarding program with a defined ramp, and time-to-first-solo-POC is measured and trending down.
- SAs are enabled on every major launch before GA, with demo environments and competitive positioning ready on day one.
- Technical enablement priorities are set from field data and reviewed with SA and Sales leadership on a fixed cadence, and leadership can point to the deals and metrics that moved.
- A living competitive and architecture curriculum exists, is current, and is used by SAs and, increasingly, by AEs.
- SA leaders describe you as part of their extended leadership team, not a service desk.
WHAT YOU BRING
REQUIRED
- 3+ years in a quota-carrying role. You have owned a number as an Account Executive, quota-carrying Solutions Engineer, or equivalent, and you know what it feels like when the quarter is on the line.
- 8+ years total across solutions engineering, technical pre-sales, or technical enablement at an enterprise software or data infrastructure company, including experience building and running enablement or onboarding programs.
- Deep hands-on data fluency: strong SQL, knowledge of OLAP/analytical databases, data warehousing architectures, streaming and ingestion pipelines, and at least one major cloud. You can run a demo, debug a lab, and read a query plan.
- You have been the engineer in the room. You have run POCs, handled objections live, and defended a technical position against a well-funded competitor.
- Proven program design and delivery: Needs analysis, curriculum design, facilitation (virtual and in person), certification, and measurement for a technical, global audience.
- A self-starter with a bias for building. You create the plan when there is none, you ship version one before it is perfect, and you improve it from evidence.
- Leads through influence. You can secure sponsorship from VPs, align cross-functional peers, and hold the field to a standard without a reporting line.
- Data-driven and operational: comfortable pulling your own CRM and call-intelligence reports, defining KPIs, and debating the numbers with stakeholders.
- Exceptional communicator. You make complex technical concepts accessible without dumbing them down, in writing and on stage.
- Global mindset. Experience working across AMER, EMEA, and APJ time zones, and willingness to travel up to ~25% for cohorts, kickoffs, and field time.
NICE TO HAVE
- Hands-on experience with ClickHouse.
- Experience at a high-growth infrastructure company through a major product launch or rapid SA headcount expansion.
- Background in both pre-sales and post-sales technical roles.
- Demonstrated use of AI tooling to automate content creation, build internal tools, or scale enablement beyond live delivery.
- Familiarity with a structured sales methodology (MEDDPICC, Command of the Message, or similar) and with adult-learning or instructional-design principles.
- Experience building SME networks, peer-learning cohorts, or technical certification programs.
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Paris
Workplace: Hybrid
ABOUT VOODOO
Founded in 2013, Voodoo is a tech company that creates mobile games and apps with a mission to entertain the world. Gathering 800 employees, 7 billion downloads, and over 200 million active users, Voodoo is the #3 mobile publisher worldwide in terms of downloads after Google and Meta. Our portfolio includes chart-topping games like Mob Control and Block Jam, alongside popular apps such as BeReal and Wizz.
TEAM
The Engineering & Data team builds innovative tech products and platforms to support the impressive growth of their gaming and consumer apps which allow Voodoo to stay at the forefront of the mobile industry. The Engineering & Data team plays a key role in Voodoo's long-term strategy. It enables Voodoo to both accelerate product diversification and provide a state of the art growth-engine to distribute and scale our games. They create innovative solutions that drive growth with a pragmatic approach, ranging from simple searching to complex machine learning systems.
ROLE
We’re looking for a Senior Security Engineer to join our Engineering & Data team. In this role, you’ll be responsible for a wide variety of topics:
- Security Engineering & Guardrails: Architect, construct, and maintain automated security guardrails and paved paths to foster secure-by-default development environments.
- Shift-Left Architecture Guidance: Collaborate with development teams during the early ideation and design phases to embed secure coding practices and architecture from inception.
- Continuous & Automated Assessment: Develop automated, continuous assessment capabilities that replace manual reviews and scale seamlessly across the business unit.
- Hands-on Code Contribution: Work directly alongside engineers to contribute code for security fixes and paved-path solutions, ensuring security remains the simplest route.
- Self-Service Tooling: Partner with developers to build scalable, self-service security tools that empower teams to detect and remediate risks independently.
- Preventive & Detective Controls: Implement robust preventive and detective controls to deliver ongoing assurance rather than point-in-time security checks.
- Strategic Collaboration & Incident Response: Drive long-term security strategy with key stakeholders while actively participating in periodic on-call rotations for incident support.
- AI-Driven Security Innovation: Utilize AI technologies and methodologies to streamline threat detection, accelerate security evaluations, and advance scalable system protection.
PROFILE (MUST HAVE)
- 5+ years of experience troubleshooting systems, analyzing logs, and automating complex tasks via command-line tools
- 5+ years of experience identifying security vulnerabilities, assessing risks, and constructing mitigation strategies
- 5+ years of hands-on experience with scripting, software development, and security-focused code reviews across standard programming languages
- Demonstrated expertise in recognizing industry-standard security vulnerabilities, understanding threat vector patterns, and applying effective remediation techniques
- Proven track record in a leadership or guidance role, such as a technical lead, mentor, or engineering team lead
- Proficiency in applying threat modeling and comprehensive risk identification methodologies
- Proven track record securing microservices, service-oriented architectures, and web services
- Experience with identity provider servers and authentication protocols (such as OAuth2, OIDC, SAML)
- Experience with penetration testing (pentest) and vulnerability assessments
- Self-starter with strong ownership, accountability, and ability to work autonomously and collaboratively across teams and organizations in a fast-paced environment.
PROFILE (NICE TO HAVE)
- Advocate for security standards with clarity and empathy.
- Familiarity with AI/ML workflows and agents.
OUR STACK
Terraform, Kubernetes, Prometheus, ArgoCD, CircleCI, GitHub Actions, Atlantis, Grafana, Claude Code, Trivy, Conftest / OPA, AWS IAM Identity Center (SSO), Okta, AWS Secrets Manager, AWS KMS, AWS WAFv2, AWS Shield, AWS ACM, AWS GuardDuty, Sealed Secrets, Kyverno, cert-manager
BENEFITS
- Competitive salary based on experience
- Swile Lunch voucher
- Gymlib (100% covered by Voodoo)
- Premium healthcare coverage with SideCare, 100% covered for you and your family
- Wellness activities in our Paris office
- Remote Fridays
Location: London, UK
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
Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment.
As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London.
This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs.
Responsibilities
Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar.
Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room.
Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there.
Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team.
Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders.
Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes.
Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment.
Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story.
Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late.
Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets.
Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning.
Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes.
Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions.
Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments.
Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US.
You May Be a Good Fit If You
Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes.
Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites.
Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering.
Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy.
Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic.
Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement.
Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage.
Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team.
Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus.
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:
£190,000
—
£230,000 GBP
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.
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: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
PROOF OF WORK
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration.
This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools.
You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.
THE OPPORTUNITY
- Build and ship AI-powered agent systems that automate internal workflows and decision paths
- Design and implement inference pipelines that reason over user interactions across internal systems
- Prototype quickly to validate agent behaviors, then productionize what proves valuable
- Architect backend services that integrate with multiple internal APIs and data sources
- Define patterns for safe, observable, and controllable agent execution
- Collaborate cross-functionally to identify high-leverage automation opportunities
- Improve system speed, reliability, and signal quality as usage scales
- Contribute to foundational design decisions for a 0→1 agent platform
SKILLS YOU SHOULD HODL
- 5+ years of experience building and shipping production software systems
- Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability)
- Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces
- Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production
- Ability to prototype rapidly while maintaining a clear path to production-grade architecture
- Strong systems thinking — able to reason about orchestration, failure modes, and observability
- Comfort operating in ambiguous, 0→1 environments with high ownership
NICE TO HAVES
- Experience building or operating agent-based systems or autonomous workflows
- Familiarity with prompt engineering, evaluation frameworks, or model performance tuning
- Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.)
- Background in building developer platforms or internal tooling
- Experience designing guardrails, sandboxing, or safety layers for AI systems
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: United Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
PROOF OF WORK
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
The Agent Systems team is a 0→1 engineering group building internal AI-powered agents that interact directly with company systems. The mandate is to dramatically increase internal speed of execution through automation, intelligent inference, and workflow orchestration.
This team operates at the intersection of AI, backend systems, and applied product engineering. The work is pragmatic and fast-moving — prototypes are expected, but the bar for production reliability remains high. Engineers on this team move fluidly between experimentation and shipping, building systems that reason over user interactions and take meaningful action across internal tools.
You’ll work closely with cross-functional partners across product, infrastructure, and internal operations to deploy agent-driven capabilities that compound leverage across the organization.
THE OPPORTUNITY
- Build and ship AI-powered agent systems that automate internal workflows and decision paths
- Design and implement inference pipelines that reason over user interactions across internal systems
- Prototype quickly to validate agent behaviors, then productionize what proves valuable
- Architect backend services that integrate with multiple internal APIs and data sources
- Define patterns for safe, observable, and controllable agent execution
- Collaborate cross-functionally to identify high-leverage automation opportunities
- Improve system speed, reliability, and signal quality as usage scales
- Contribute to foundational design decisions for a 0→1 agent platform
SKILLS YOU SHOULD HODL
- 5+ years of experience building and shipping production software systems
- Strong backend engineering fundamentals (APIs, distributed systems, data modeling, reliability)
- Experience building fullstack systems, with comfort working across backend and occasional frontend surfaces
- Hands-on experience working with AI/ML systems, LLMs, or inference pipelines in production
- Ability to prototype rapidly while maintaining a clear path to production-grade architecture
- Strong systems thinking — able to reason about orchestration, failure modes, and observability
- Comfort operating in ambiguous, 0→1 environments with high ownership
NICE TO HAVES
- Experience building or operating agent-based systems or autonomous workflows
- Familiarity with prompt engineering, evaluation frameworks, or model performance tuning
- Experience integrating with internal enterprise systems (CRM, support tools, analytics platforms, etc.)
- Background in building developer platforms or internal tooling
- Experience designing guardrails, sandboxing, or safety layers for AI systems
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on Twitter https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Canada (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in the US or Canada.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with distributed systems, catalogs and table formats, query engines.
Mastery of a programming language like golang, C++, or Rust
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building distributed query engines.
Experience building data warehouses and/or data lakes.
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In Canada, the Base compensation range for this role is $
164,490 - $197,389.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: United States (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
This is a remote opportunity, and we would be interested in applicants located in the US or Canada.
The Opportunity:
At Grafana Labs, we build observability tools that help users understand, respond to, and improve their systems – regardless of scale, complexity, or tech stack. We recently started a skunkworks initiative with a mission to bring observability to the rest of the business. Our goal is to make Grafana the single best place where humans and AI agents understand and act on real-time data from across the enterprise. As part of this initiative, we are building an AI-native data intelligence system that gives agents reliable, governed access to enterprise context. This system helps agents retrieve the right data, metadata, definitions, lineage, quality signals, and institutional knowledge without every agent builder having to maintain their own brittle context files. The principle is simple: the context system retrieves, agents decide, and data teams maintain the intelligence.
The new team is a mix of seasoned Grafanistas and new hires. We operate with a high degree of autonomy and ownership, both as individuals and as a team. Engineers are empowered to make decisions, move quickly, and validate ideas early – while being supported by a deeply collaborative culture that values curiosity, feedback, and cross-functional partnership.
We’re looking for a Senior Software (Database) Engineer to help build the underlying storage system for our general purpose data platform. The database layer has both OLAP and OTLP capabilities to support classic analytics queries while also serving up freshly stored data. It embraces the separation of compute and storage and is designed to run on multiple cloud providers. This is an early-stage role on a high-autonomy team, so you should be comfortable working through ambiguity, making pragmatic architectural decisions, and building systems that can evolve from internal dogfooding to production-grade SaaS. As the team matures, there’s a broad opportunity to expand or redefine this role based on impact and initiative.
What You'll Be Doing:
Take ownership over and build one or multiple parts of the database: Design, implement, test, and operate ingestion, query planning, distributed query execution, data formats, storage formats.
Create a scalable SaaS foundation: Help define and build the architecture for a multi-tenant database service, including tenant isolation, usage tracking, quotas, audit logs, background jobs, and reliable service boundaries.
Power agent-facing retrieval workflows: Build APIs and database interfaces that allow AI agents, MCP tools, CLIs, and internal applications to retrieve data quickly.
Work across product and infrastructure: Partner with the team to make practical tradeoffs between fast experimentation and long-term reliability, especially as the project moves from prototype to production.
Operate what you build: Instrument database services with metrics, logs, traces, alerts, and dashboards. Use observability tools to understand system behavior and improve reliability.
Contribute to technical direction: Help shape the architecture, service boundaries, storage choices, API contracts, deployment patterns, and engineering practices for a new product area.
Effective communication: You’ll be working in a highly dynamic and collaborative environment, so we need someone who can communicate effectively and contribute across teams.
Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows.
What Makes You a Great Fit:
Strong engineering skills: Solid experience building production-grade, user-facing software systems. You’re a self-starter, capable of tackling complex engineering problems and making design decisions with minimal supervision.
AI experience with a practical mindset: You’re familiar with AI technologies and frameworks, and you focus on delivering high-quality solutions that work in the real world, not just in theory.
Quick iteration and experimentation: You’re comfortable releasing prototypes, collecting feedback, and iterating with a pragmatic mindset.
Proven initiative: You take ownership and drive projects forward, pushing boundaries to find the most impactful solutions. You can deal with ambiguity and are able to define scope where things are loosely defined.
Collaborative attitude: You communicate effectively with your peers. You’re open to feedback, and you bring a solutions-oriented mindset to the table.
Experience with distributed systems, catalogs and table formats, query engines.
Mastery of a programming language like golang, C++, or Rust
Proven track record of delivering software that made it into production and is actively used by users.
Exposure to working in cloud-native environments (e.g., AWS, GCP, Azure).
Experience using observability tools to understand and troubleshoot system behavior.
Bonus Points for:
Experience building distributed query engines.
Experience building data warehouses and/or data lakes.
Experience building tools for data engineering.
How we work:
We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our Staff engineers, to contribute ideas that make it a more reliable, more useful, and more loved product.
Compensation & Rewards:
In the US, the Base compensation range for this role is $
154,445 - $185,334.
Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Helsinki, Finland
About Wolt
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
About the Team
Cx App Foundations is a platform organisation within our global Cx organisation. It provides shared consumer foundations and platform capabilities used by engineering teams across Wolt, DoorDash, and Deliveroo. Within this organisation, the Velocity team owns the paved road for consumer app development across mobile and web: shared SDKs and client foundations, integration patterns and multi-brand customisation, migration playbooks and reference implementations, and developer tooling that makes building on shared foundations fast and safe. Our mission is to reduce the cost, time, and risk of building consumer experiences across platforms and brands. Product teams own customer-facing experiences; our job is to make sure they can spend their time on delivering delightful experiences. The team is AI-native: AI is a default part of how we design, build, and ship software.
About the Role
As the Engineering Manager, you will lead a team of experienced engineers across mobile and web, collaborating closely with product teams, design, and adjacent platform organisations across three brands. Your primary responsibility will be owning the team's roadmap and delivery of shared client foundations, and driving their adoption across the organisation, so that product teams ship delightful customer experiences without rebuilding the foundations under them. You will be a key player in keeping the team's operating model healthy: clear intake from stakeholders, predictable delivery, and support expectations that keep the platform from drifting into a general escalation queue. You will also guide architectural and system design decisions with your tech leads. You will stay hands-on: contributing code, reviews, and prototypes alongside the team is part of the job. This role is ideal for a leader who has run platforms, SDKs, or shared services for other engineering teams, communicates clearly across brands and time zones, and wants their impact measured through what other teams achieve with the foundations you ship.
You're excited about this opportunity because you will…
Own the platform roadmap - the shared SDKs, client foundations, and developer tooling the team ships - and sequence it against the migration and adoption goals of the three brands
Drive adoption of the shared foundations by partnering with product teams, running onboarding and rollout support, and making the supported path the easiest path
Lead, coach, and grow experienced mobile and web engineers, keeping growth conversations, calibration, and feedback loops running
Keep the team's operating model healthy: clear intake (stakeholder management, shared-platform, product-specific, or exception work), supported capabilities with entry criteria and support expectations, and predictable delivery
Guide architectural and system design decisions for client foundations that three brands and multiple app platforms depend on
Stay hands-on by contributing code and reviews alongside the team, and champion AI-native development practices
Grow the team through hiring
Our humble expectations
You have 3+ years of experience managing engineers, including a team with senior engineers
You have a solid background (5+ years) in mobile or web engineering, with enough technical depth to hold your own in architecture discussions about client foundations
You use AI tooling fluently in your day-to-day work and stay close to the code
You have run a platform, SDK, or shared service that other teams depend on, and know how to treat internal customers as customers
You work across boundaries naturally: product teams, design, other platform organisations, data/analytics and stakeholders in other locations and time zones
You hold a high bar for engineering quality and can navigate production incidents and release tradeoffs with calm structure
You are based in Helsinki, Finland
What we offer
A platform leadership role with real leverage: the foundations the team owns shape how consumer experiences get built across Wolt, DoorDash, and Deliveroo, and your roadmap decisions multiply across every product team that builds on them.
Next steps
The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us!
The compensation will be a combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.
Our Commitment to Diversity and Inclusion
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at
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Location: London, UK
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 Anthropic's Applied AI team, you'll be a pre-sales architect focused on building technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and cloud partners (AWS and GCP). You'll strengthen these relationships to accelerate indirect revenue, enable partners' AI practices, and execute our long-term go-to-market strategy.
Responsibilities
Strategic technical partnership:
Act as a technical thought partner to the Anthropic GTM partnerships team. Bring technical expertise to help us understand the partner landscape, drive key strategic programs, and find ways to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, and evangelize Anthropic in their developer communities. You'll also serve as an escalation point for complex technical issues.
Joint solution development:
Work with partners to identify high-value, industry-specific GenAI applications, develop joint solutions, and codify reference architectures and best practices that speed time to deployment.
Customer deal support:
Step in to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
Partner ecosystem and events:
Represent Anthropic at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner-specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
Product feedback:
Gather and validate feedback on Anthropic's products and offerings, especially as they relate to partner use cases and deployment patterns. Deliver it to the relevant Anthropic teams to inform the product roadmap and partner strategy.
You may be a good fit if you have
5+ years in technical customer-facing or partner-facing roles, such as Solutions Architect, Sales Engineer, Partner Sales Engineer, or Technical Account Manager
A track record of partnering successfully with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery
Exceptional ability to build relationships and communicate technical concepts to diverse stakeholders, including C-suite executives and engineering and IT teams
Strong presentation and 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
Enthusiasm for cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
A passion for using technology in ways that are safe and beneficial, and that advance the goal of safe 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:
£150,000
—
£190,000 GBP
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.
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: India
Workplace: remote
Overview
We are seeking a Lead SDET (Software Development Engineer in Test) to provide end-to-end technical governance across all QA layers - frontend, middleware, and backend - for a complex, multi-layered onboarding platform. This role owns the architecture of API contract testing and the data modeling of complex entity relationships (e.g., hierarchical/parent-child style structures), while ensuring that quality assumptions made at one layer (such as client-side validation) are independently verified at every downstream layer rather than trusted at face value. The ideal candidate combines strong technical leadership with the ability to set and enforce delivery governance across cross-functional teams.
Main Responsibilities
• Provide technical governance across frontend, middleware, and backend testing layers
• Establish and enforce QA delivery standards, evidence requirements, review processes, and quality gates
• Review frontend constraint dictionaries and FSM/state-model outputs for completeness and consistency
• Review API schema reconstructions, network evidence, and tracer replay outputs for technical quality and traceability
• Coordinate with QA Analysts, SDETs, and Test Operations Associates to align technical execution with delivery timelines
• Review test architecture decisions, validation approaches, and coverage strategies
• Coordinate dependency resolution, evidence rework, and cross-layer reconciliation throughout the engagement
• Act as the escalation point for cross-layer technical discrepancies and evidence-quality issues
• Compile and quality-check the raw technical evidence dossiers produced by the workstreams
• Identify evidence gaps, inconsistencies, or areas requiring rework before handoff to client stakeholders
• Report on delivery health, technical risks, evidence quality, dependencies, and unresolved gaps
• Prepare the technical evidence package for handoff to the client team responsible for final modelling and logic-gap assessment
• Support technical readout preparation by ensuring that findings are traceable to empirical evidence
Project Details
• Title: Lead SDET
• Start Date: 26th October
• Duration: 4 Months
• Location: India (Remote)
• Job Type: Contractual (with the possibility of a Full-time employment extension based on performance and project needs)
Qualifications
• Proven experience of 8+ years in a QA leadership role spanning multiple testing layers (frontend, middleware, backend)
• Demonstrated expertise in API contract testing architecture and governance
• Practical experience with knowledge graph or entity-relationship data modeling and its application to test/data traceability
• Strong understanding of layered system architectures and the importance of independently verifying quality at each layer rather than relying on upstream assumptions
• Strong track record of technical delivery governance, including setting standards and quality gates
• Excellent cross-functional leadership and stakeholder communication skills
• Deep technical grounding across QA disciplines (manual, automation, systems-level testing) to credibly guide teams at every layer
• Experience mentoring or managing SDETs and QA Analysts
• Experience leading complex multi-week technical QA, API validation, or security-assessment engagements is strongly preferred
• Experience establishing evidence/traceability models across complex technical workflows is preferred
• Familiarity with knowledge graphs, entity-relationship models, or structured technical dependency/evidence modeling is preferred; deep knowledge-graph engineering expertise is not required
• Ability to synthesize technical evidence into concise stakeholder-ready findings and handoff materials
Why join Welo Data?
✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.
🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.
🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.
How to Apply?
Apply now by answering a few quick questions to join our database and become part of our growing community.
We can’t wait to meet you!
About Welo Data
Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.
At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.
Location: Москва
Команда занимается разработкой NLP-моделей и решений на основе LLM для операционных рисков. Решаем задачи по построению AI-агентов и мультиагентных систем.
Примеры:
* система гардрейлов (в том числе на Jev-like моделях) для защиты LLM и AI-агентов Сбера от промпт-атак и джейлбрейков
* агентная память банка на базе темпорального графа знаний, учитывающего версии и изменения внутренней документации во времени
* Harness, который автономно превращает DS-код в продакшн-сервис — от сборки проекта по стандарту и интеграций до деплоя на стенды и тестирования
* AI-агенты для оценки рисков компаний экосистемы Сбера по внутренним документам, новостям, отчетности и описанию бизнес-процессов
* мультиагентная система по анализу репозиториев кода на уязвимости бизнес-логики и сверки с требованиями
* AI-агент DataEngineer для автономного анализа данных, поиска ошибок и аномалий, создания проверок качества данных, создания выгрузок и витрин.
Обязанности
* разработка PoC и MVP AI-агентов с использованием фреймворков для работы с LLM
* адаптация и дообучение LLM на внутренних и внешних данных (SFT, LoRA, DPO, GRPO)
* участие в выводе AI-агентов в продакшн, их интеграции и мониторинге качества
* написание качественного кода и обсуждение технических решений с командой.
Требования
* неоконченное высшее техническое образование с хорошей подготовкой в области математики и алгоритмов
* знание Python, статистики и ML/DL-стека
* опыт проектирования и обучения нейросетей: от CNN/RNN до трансформеров
* опыт построения RAG-систем (классический RAG, GraphRAG, Agentic RAG)
* опыт разработки автономных AI-агентов (LangChain, LangGraph, Deep Agents)
* знание классических алгоритмов и структур данных, принципов ООП и паттернов проектирования
* умение писать чистый и поддерживаемый код (Clean Architecture, SOLID)
* опыт работы с Git.
Преимуществом будет:
* опыт работы с FastAPI, Docker, vLLM, Unsloth, Langfuse
* успехи в соревнованиях (например, Kaggle Expert+ или призовые места на хакатонах)
* вклад в open-source проекты, публикация моделей и датасетов на Hugging Face
* погружённость в тренды индустрии, интерес к свежим статьям и новым инструментам
* знание других языков программирования (например, C++, Java).
Условия
* оплачиваемая стажировка
* возможность выбрать удобный график – офис или гибрид (локация: м. Кутузовская)
* корпоративный спортзал и зоны отдыха.
Location: Cyprus; Georgia; Poland; Spain; Serbia
We are looking for a strong Tech Lead with deep software engineering and backend expertise to lead a small engineering team and take ownership of technical decisions, architecture, and engineering quality.
This is a hands-on role — you will drive the technical direction of the team while staying deeply involved in production development, architecture, and solving complex engineering challenges.
You will lead a small cross-functional team consisting of 3 Software Engineers and 2 QA Engineers.
Our core backend stack is Go, so we are looking for someone with strong commercial Golang experience and a solid background in building scalable, distributed systems.
We also expect you to actively leverage AI tools to improve engineering quality, productivity, and development velocity.
Responsibilities
Lead the technical direction of the team and own key architecture decisions.
Design and develop scalable backend services and APIs using Go.
Stay hands-on with production code and solve complex technical challenges.
Design reliable, scalable, and maintainable distributed systems.
Lead code reviews and maintain high engineering standards across the team.
Improve system performance, reliability, observability, and scalability.
Identify technical risks, bottlenecks, and areas for improvement.
Mentor Software Engineers and support their technical growth.
Help increase team productivity and improve engineering efficiency.
Collaborate closely with Product, QA, and other engineering teams.
Continuously improve development processes, engineering practices, and delivery quality.
Actively use AI-powered development tools to accelerate engineering workflows and improve code quality.
Requirements
7+ years of software engineering experience.
Strong commercial experience with Go (Golang).
Strong backend and software engineering background.
Experience designing scalable architectures and distributed systems.
Strong understanding of microservices architecture and asynchronous communication patterns.
Solid experience with PostgreSQL, Redis, and REST APIs.
Experience with message brokers such as RabbitMQ, Kafka, or similar.
Experience with Docker and CI/CD pipelines.
Experience leading engineers and driving technical and architectural decisions.
Strong hands-on approach — you are comfortable staying close to the code and contributing to production development.
Strong understanding of engineering best practices, code quality, testing, and system reliability.
Experience using AI development tools such as Cursor, GitHub Copilot, Claude Code, or similar in daily development.
Nice to Have
Experience with Kubernetes and GitOps.
Experience building high-load or high-availability systems.
Experience with event-driven architectures.
Experience with Web3, blockchain, fintech, or other transaction-heavy products.
Experience integrating LLM APIs or AI capabilities into production products.
Experience with TypeScript / Node.js or other backend technologies.
Benefits
Professional growth: support for courses, conferences, and English learning (up to 100% coverage).
Work-life fit: remote or hybrid format with flexible hours across international teams.
Paid leave: up to 20 vacation days + 8 company holidays + 5 personal days per year
Recognition programs: structured performance reviews and team awards.
Team culture: retreats in international locations (for example, company apartments in Cyprus).
Location: Mexico; Argentina; Colombia; Honduras; El Salvador
We are looking for an experienced
Tekla Steel Detailer
to support a U.S. steel fabrication company specializing in structural steel, custom stairs, railings, and architectural metalwork.
This remote position is ideal for someone who understands how steel is fabricated and installed and can translate architectural and structural drawings into accurate Tekla models and complete shop drawing packages.
Experience detailing
stairs, railings, and miscellaneous steel
is particularly important, along with the ability to work independently and communicate effectively with a U.S. team.
Responsibilities
Develop detailed 3D models in
Tekla Structures
for custom stairs, railings, landings, brackets, structural framing, and related steel components.
Produce shop drawings, assembly drawings, single-part drawings, erection drawings, and material lists.
Interpret architectural and structural drawings, project specifications, and field measurements.
Detail connections, plates, anchors, bolts, and welds in accordance with approved engineering information and fabrication standards.
Coordinate steel components with adjacent materials, including glass, wood, and concrete.
Identify missing information or conflicting dimensions and prepare clear requests for information.
Incorporate approval comments, field updates, and design revisions into models and drawings.
Review deliverables for accuracy, completeness, and fabrication and installation requirements.
Collaborate with project managers, engineers, and fabrication teams throughout the detailing process.
Requirements
At least
4 years of steel detailing experience
, with strong proficiency in
Tekla Structures
.
Demonstrated experience detailing
steel stairs, railings, and miscellaneous metals
.
Previous experience supporting
U.S. steel fabrication or construction projects
.
Ability to independently develop fabrication drawing packages from architectural and structural documents.
Practical understanding of steel fabrication, connections, welding symbols, tolerances, and installation considerations.
Familiarity with imperial measurements and U.S. steel detailing conventions.
Strong written and spoken English.
Ability to manage revisions, meet deadlines, and coordinate with a team during U.S. Eastern Time business hours.
A portfolio showing relevant Tekla models and shop drawings.
Preferred Qualifications
Experience with custom architectural steelwork, exposed steel, and high-end residential projects.
Experience detailing structural framing, including beams, columns, and bracing.
Experience with stainless steel, aluminum, or other architectural metals.
Familiarity with AutoCAD and producing CNC/NC or DXF files for fabrication.
Experience working directly with steel fabricators and addressing shop or field questions.
Benefits
Work for the most exciting companies in the North American Market.
Flexible schedules.
Work from anywhere.
Highly competitive compensation.
УдалённоRemote - Riyadh, Saudi Arabia
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.
УдалённоUnited States; Adapt the global program to how each theater sells, and coordinate cohort schedules, mentors, and live sessions across time zones; Experience working across AMER, EMEA, and APJ time zones, and willingness to travel up to ~25% for cohorts, kickoffs, and field time
ГибридseniorParis
London, UK
УдалённоseniorUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorUnited Kingdom; Brazil; United Arab Emirates; Ireland; Peru; Sweden; Colombia; Argentina; Romania; Cyprus; Switzerland; Portugal; Lithuania; South Africa; Czech Republic; Canada; Hungary; Mexico; Chile; Poland; Spain; Bulgaria; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
seniorCanada (Remote); Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
seniorUnited States (Remote); Ownership and impact: Take full ownership of the database solutions you develop, ensuring they are not only innovative but also scalable, maintainable, and aligned with real user workflows
Helsinki, Finland; This role is ideal for a leader who has run platforms, SDKs, or shared services for other engineering teams, communicates clearly across brands and time zones, and wants their impact measured through what other teams achieve with the foundations you ship; You work across boundaries naturally: product teams, design, other platform organisations, data/analytics and stakeholders in other locations and time zones
London, UK
УдалённоleadIndia
УдалённоleadCyprus; Georgia; Poland; Spain; Serbia
УдалённоMexico; Argentina; Colombia; Honduras; El Salvador
