Location: Worldwide
Social Discovery Group
(SDG) is a group of social discovery companies. SDG solves the problems of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG’s products redefine the way people interact and connect with one another.
Our portfolio includes social entertainment platforms designed to connect people online across different cultures and regions of the world.
We bring together a team of like-minded people and IT professionals who specialize in creating and developing globally impactful social discovery products. Our international team of digital nomads works remotely from all over the world.
We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).
We are looking for an
Lead QA Engineer (AI Native)
to join a new product in our portfolio.
Your will join a small senior team of four, and we build in a truly AI-first way: almost all of our code is written by AI agents (Claude Code, Codex), while we design the processes, set the tasks and verify the results. The codebase already spans millions of lines, with complex components and integrations, and the product works with real money. Ensuring its reliability is a challenge no textbook covers yet. That's why we need someone to own it.
This is an individual contributor role in a flat team, with no people management. Your leverage comes from processes, automation and AI agents, not team size.
Your main tasks will be:
Design and build the end-to-end testing pipeline for a product largely written by AI agents: pre-merge checks, nightly test runs, release and production gates;
Define the quality strategy for AI-generated code: where risks are highest, what coverage is needed, and how to keep it sustainable at scale;
Set up continuous automated UI testing across browsers and mobile devices, including AI-agent-driven testing; evaluate, choose and integrate external tools and services;
Own product reliability from a technical perspective, with special focus on critical financial flows;
Work closely with engineers and DevOps to embed quality into the development process and find the right trade-offs between speed and safety;
Use AI agents daily to create, maintain and evolve tests and testing tooling;
Drive quality initiatives proactively and share best practices with the team.
We expect from you:
Proven experience building and owning testing processes in large, complex products with high reliability requirements, as a QA Architect, senior QA/SDET, or a senior engineer responsible for testing strategy;
Strong engineering background: understanding of system architecture, backend services, CI/CD and deployment processes;
Hands-on experience with test automation and integrating tests into CI/CD pipelines;
Daily use of AI coding agents (Claude Code, Codex, Cursor or similar) as a core part of your work, and genuine interest in AI-first development;
High autonomy and ownership: ability to take loosely defined problems, propose solutions and drive them to completion without detailed specs;
Willingness to work as a hands-on individual contributor in a small senior team.
Fluent Russian
Sounds good? Join us now!
As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption.
• 5+ years in product and/or engineering, with hands-on experience building production services. • Practical martech, performance or growth marketing experience;
-Programming experience in Python, Rust, C++, or Solidity. -Experience using Generative AI tooling such as Claude Code, Codex, Cursor, or similar Large Language Model (LLM) tools.
• разрабатывать REST API на FastAPI: платежи, рассрочки и оплата частями, подписки, возвраты; • подключать банки и платёжных партнёров, принимать и проверять вебхуки;
Location: AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
SENIOR ENGINEER, SALESFORCE PLATFORM
THE ROLE AND ITS IMPACT
Xero's Salesforce platform powers our go-to-market solutions and is increasingly the core infrastructure for our agents. As a senior engineer, you'll spend most of your time in hands-on work: writing and reviewing code, joining design reviews, responding to incidents and building proofs of concept. You'll help shape how the platform is secured, released and operated.
Your impact is measured in results. Today the platform runs at 99.95% uptime, with 100% path-to-production compliance, zero Sev 1 or Sev 2 incidents and 150 to 200 deployments a month. You'll help maintain that standard as the platform scales significantly. This role lets you Go Bold by challenging how the platform is built, Go Fast by removing friction to production, Go Further by building things that last and Go Together by lifting capability across every team that depends on you.
THE TEAM AND HOW THEY CONNECT
The Platform team sits within Customer Platforms, the engineering group behind Xero's go-to-market and customer experience technology. You'll work closely with engineering leaders across Security, Data and AI, and with colleagues across Australia, New Zealand and our offshore partners.
THE TEAM IS CURRENTLY WORKING ON
- Platform security: access control, Connected Apps governance and vulnerability remediation, setting the standards that make secure the default.
- CI/CD and release engineering: championing automation so every engineer building on the platform can ship safely and quickly.
- Observability and operational health: growing observability, managing org limits and preventing customer-facing issues before they start.
- Agent path-to-production: building a safe route from idea to production for agentic changes, including evaluation baselines, an agent registry and shared standards. This is a new area with no established playbook, so you'll help write it.
WHERE AND HOW YOU CAN WORK
Based in Melbourne, we encourage one day a week in the office to stay connected with your peers. The pods you support are spread across Australia, New Zealand and offshore, so you'll be comfortable building trust and aligning people asynchronously and in writing.
HERE ARE SOME OF THE THINGS WE ARE LOOKING FOR
- You bring hands-on Salesforce development depth at enterprise scale, from code and reviews through to production support, with a platform engineering mindset.
- Your background includes owning CI/CD pipelines and release engineering across major release cycles, with GitHub, SFDX and test automation experience.
- You've secured platforms that other teams depend on, and you've turned post-incident reviews into lasting change.
- You can make code and design decisions across multiple teams, and you write RFCs and design docs that build alignment through persuasion rather than authority.
- You help senior engineers grow through code review standards, and you use AI tooling fluently while evolving your own practice as the tools change.
- You turn business goals into technical plans with Product, and you're comfortable pushing back on unclear scope.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As the Developer Relations Manager for Claude Platform at Anthropic, you will lead the team responsible for how developers discover, onboard, build, and scale applications using the Claude Platform. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development, and ensuring our Platform is used responsibly across a diverse range of implementations.
You'll set the vision and strategy for growing and engaging Claude Platform’s developer community. Your success in this role will directly shape Anthropic's growth trajectory and market position while ensuring our APIs are used to create safe, positive outcomes. Building strong relationships between our developer community and internal teams will be essential as we advance our mission of creating safe AI.
Key responsibilities
Set the Vision and Drive Strategic Impact
Build and execute the strategy for how developers discover and grow their integrations on the Claude Platform
Build and execute the strategy for content the team produces to educate developers on building high quality integrations on top of the Claude Platform
Collaborate with product and engineering leadership to ensure developer feedback informs the roadmap
Prioritize initiatives based on data, feedback, and the needs of both developers and
Build and Lead a World-Class Team
Pioneer the definition of what world-class developer relations looks like in this quickly evolving field
Recruit, inspire and scale a high-impact developer relations team with global reach and representation across key markets
Foster a collaborative culture that embodies Anthropic's values while driving innovation in how we engage developers
Create and implement scalable processes that evolve as both the team and developer ecosystem expand
Establish clear growth paths and development opportunities for team members that align personal advancement with delivering exceptional value
Drive Alignment and Innovation Through Cross-Functional Leadership
Act as an advocate for Claude Platform developer needs at Anthropic, translating developer feedback into strategic initiatives
Collaborate with Research to translate AI capabilities into accessible educational resources
Partner with Communications and Marketing teams to amplify developer success stories
Ensure best practices for responsible AI use are adopted by developers building on the Claude Platform
Minimum qualifications
You have experience building and leading developer relations, developer experience, or technical product teams, with a proven track record of measurably growing developer ecosystems
You're technically credible. You understand AI/ML and API concepts and translate complex technical ideas for various audiences ranging from individual developers to enterprise executives
You have hands-on technical abilities. You’re capable of creating your own code demos, critically reviewing developer content for quality and best practices, and providing specific technical feedback that elevates the work of your team
You have insight into developer psychology and behavior. You know how to reach developers through the right channels, build authentic affinity for products, and design education programs that drive meaningful adoption
You're passionate about AI's potential and deeply committed to ensuring it's developed responsibly, with a genuine interest in AI safety and ethical considerations
You're a collaborative leader who can influence across teams without direct authority, building strong relationships with stakeholders at all levels
You have experience scaling teams in high-growth environments and can adapt quickly as priorities evolve
Preferred qualifications
Experience working specifically with AI developer platforms
Public speaking experience at industry conferences and events
Content creation experience (technical writing, video tutorials, etc.)
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$290,000
—
$435,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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: San Francisco, CA | New York City, NY | Seattle, WA
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 of May 2026, Claude authored
more than 80% of the code we merge
. In September 2026, we merged more than
30,000 changes per day
. Writing a change is fast now, and the hard part is knowing what is correct and safe to ship. Platform Acceleration builds the internal tools that close that gap for Anthropic's product engineers, who own the Claude API, our SDKs, and the rest of the Claude Platform. We work like a small product team whose customers are other Anthropic engineers.
We're looking for Staff+ engineers with a strong background in backend or infrastructure who care about developer experience and have built tools other engineers rely on. We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle.
What you'll do
Design, build, and operate the tools that help product teams ship faster
Own the technical strategy and roadmap for your area, and make sure its hardest problems get solved, by you or through others
Define what it means to trust a change, especially changes written by Claude, and build the tooling that holds the bar throughout the software development lifecycle
Build agents that take on repetitive engineering work, such as diagnosing failures, fixing broken tests, and running migrations
Embed with partner teams to find their biggest sources of friction, validate a solution with them, and turn the fix into a product other teams can adopt
Move between building new tools and improving the shared systems that teams already depend on, as priorities shift
You might be a good fit if you:
Experience building and operating backend services or infrastructure in production, in Go, Python, Rust, or TypeScript
Deep experience with developer tooling, CI/CD, test infrastructure, or deployment systems
Experience leading large, complex technical projects across teams, from an ambiguous problem to a solution developers adopt
Clear written and verbal communication, with experience supporting internal partner teams
Interest in Anthropic's mission of building safe, beneficial AI
Preferred qualifications:
Experience at a startup or on a similarly small team, taking a product from zero to one and talking directly to your users
Substantial experience with agents that do engineering or other technical work
Experience building widely adopted CLI tools, developer-facing services, GitHub automation, or open source developer tools
Experience measuring developer productivity and using the data to decide what to build
A point of view on how software engineering changes as agents write more of the code
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
Location Preference:
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$405,000
—
$485,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
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.
• Work as an AI-leveraged engineer, owning features across backend, web, Android, and iOS. • Collaborate with product managers to shape goals into solutions.
Location: San Francisco; United States; New York
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
You’ll use your creativity, problem-solving, and technical expertise to design tailored solutions that make a real impact.
Embedded with our most strategic customers, you’ll get a front-row seat to some of our highest-stakes projects. From brainstorming technical architectures and product features to building full-scale integrations, you’ll take full ownership of complex, high-impact challenges—helping clients achieve their goals and push the limits of what’s possible.
What you will do:
- Take full ownership of end-to-end execution of major projects for our most strategic partners, working hands-on to deliver high-impact solutions.
- Collaborate daily with our customer’s engineers and executives teams to ensure the best use of ElevenLabs’ technologies.
- Drive real innovation by using your coding and technical skills to solve complex problems, making a real difference for our customers.
REQUIREMENTS
- Experience working with customers. It’s ok if you only worked with customers in student clubs or side projects, as long as you are interested in working closely with them on a technical capacity
- Proficiency in Python and strong software development knowledge, inclusive of a deep understanding of software development, software architecture, and APIs integration.
- Excellent communication and problem-solving skills. Especially in terms of ability to summarize complex technical knowledge and using logic in pursuing optimal solutions.
Location
This role is remote-first, so it can be executed from anywhere in the United States. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. Expect regular travel for customer onsites.
#LI-remote
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Dubai, United Arab Emirates
ROLE PURPOSE
The Vice President – Sales is the most senior sales leader at AHS Properties and reports directly to the Chief Executive Officer. The role owns the company's sales strategy, revenue targets and sales organisation across all AHS ultra-luxury residential and mixed-use developments.
The VP leads a structured sales organisation of five Heads of Sales, each managing five Sales Managers. The role is accountable for converting AHS's project pipeline into sales, collections and a premium brand experience for buyers, while ensuring every transaction meets UAE regulatory and company governance requirements.
KEY RESPONSIBILITIES
-
Sales Strategy and Planning
• Develop and deliver the annual and multi-year sales strategy for all AHS projects, aligned with the company's business plan and launch pipeline.
• Set annual, quarterly and monthly targets for sales value, units and collections, and cascade them to each Head of Sales and Sales Manager.
• Define the go-to-market approach for each project launch, including phasing, inventory release, pricing strategy and channel mix.
• Prepare the sales budget, headcount plan and commission structure for CEO approval.
- Revenue Delivery and Performance Management
• Own company-wide sales results and deliver agreed revenue, unit and collection targets.
• Hold Heads of Sales accountable for their team targets through weekly pipeline reviews, monthly performance reviews and clear action plans.
• Monitor conversion rates, sales velocity, cancellations and collections, and take corrective action where performance falls short.
• Approve discounts, payment plan variations and special deal terms within the delegation of authority, and escalate exceptions to the CEO.
- Pricing, Inventory and Product Input
• Work with the CEO, Finance and Development teams on pricing, payment plans and inventory release to maximise value and sales velocity.
• Provide market and buyer feedback on unit mix, layouts, specifications and amenities for upcoming projects.
• Track competitor launches, pricing and incentives, and recommend responses.
- Sales Channels and Key Clients
• Build and manage AHS's channels, including direct sales, the broker and agency network, VIP and private clients, and corporate or bulk buyers.
• Approve broker partnerships, commission structures and channel policies in coordination with Finance and Legal.
• Personally lead negotiations with ultra-high-net-worth clients, VIP buyers and high-value or multi-unit transactions.
- Leadership and Team Development
• Lead, coach and develop the five Heads of Sales, and through them the 25 Sales Managers and their teams.
• Set the sales organisation's structure, roles, KPIs and career paths, and plan succession for key positions.
• Work with HR on recruitment, onboarding, training, performance appraisals and retention across the sales organisation.
• Build a high-performance, ethical sales culture that reflects AHS's ultra-luxury brand standards.
- Customer Experience
• Ensure a consistent, premium customer journey from enquiry through reservation, SPA signing and handover.
• Work with Customer Relations, Marketing and the sales gallery team so that every client interaction meets AHS brand standards.
• Oversee resolution of escalated client complaints and sales-related disputes.
- Marketing Alignment and Lead Management
• Work with the Marketing team on launch campaigns, events and lead-generation plans, and agree lead targets and quality standards.
• Ensure leads are distributed fairly and followed up promptly, and measure return on marketing spend by channel.
- CRM, Reporting and Forecasting
• Ensure full CRM discipline across the sales organisation, with accurate pipeline, activity and deal records.
• Deliver weekly sales dashboards and monthly and quarterly reports to the CEO on sales, collections, pipeline, forecasts and team performance.
• Provide accurate sales and cash-flow forecasts to support Finance and project funding decisions.
- Governance and Compliance
• Ensure all sales activity complies with Dubai Land Department and RERA regulations, escrow requirements, advertising permits and broker licensing rules.
• Ensure KYC, source-of-funds and anti-money laundering (AML/CFT) checks are completed before reservation, in line with UAE requirements.
• Enforce the company's delegation of authority, pricing and discount controls, commission policy, code of conduct and conflict-of-interest rules.
Requirements
Essential
• Bachelor's degree in Business Administration, Marketing, Real Estate or a related field.
• Minimum 15 years' experience in real estate sales, including at least 7 years leading large sales teams at senior management level.
• Proven track record of leading multi-layered sales organisations (heads of sales and sales managers) for a premium or luxury developer in Dubai / the UAE.
• Demonstrated success in launching and selling out off-plan and ready projects.
• In-depth knowledge of the Dubai property market, DLD and RERA regulations, escrow rules and AML/KYC requirements.
• Strong network of brokers, agencies and high-net-worth clients in the UAE.
• MBA or relevant postgraduate qualification.
• Experience in ultra-luxury, branded residences or waterfront developments.
• Arabic and English fluency; additional languages are an advantage.
Location: Pakistan; Indonesia; Kenya; Nigeria; Turkey; Vietnam
About Gramian
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs.
About the Role
We are seeking an experienced Civil or Structural Engineering Lead to oversee a team of technical trainers developing realistic, terminal-based engineering tasks for AI training and evaluation. You will review tasks for engineering accuracy, reproducibility, and automated grading reliability while mentoring a team of approximately 5–10 trainers. This role combines advanced engineering expertise, scientific computing, technical quality assurance, and team leadership to ensure tasks reflect authentic engineering workflows and require rigorous, multi-step problem-solving.
CONTRACT:
Contractor assignment, 4 weeks
COMMITMENT:
Hourly, up to 40h/week
LOCATIONS:
Remote -
Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Pakistan, Indonesia, Kenya, Nigeria, Turkey, Vietnam
PROCESS:
AI Interview
NOTES: PhD Degree is mandatory!
Key Responsibilities
Review engineering tasks end to end, including problem statements, structural and geotechnical models, load cases, simulation data, computational environments, reference solutions, and automated tests.
Validate tasks covering structural analysis, finite-element analysis (FEA), earthquake and wind engineering, structural dynamics, geotechnical modeling, hydraulics, hydrology, transportation, and infrastructure systems.
Ensure tasks require meaningful, multi-step engineering reasoning and reflect real-world civil and structural engineering workflows.
Verify technical correctness across units, equilibrium, boundary conditions, load combinations, design codes, numerical stability, convergence, and safety factors.
Validate computational models, solvers, dependencies, and simulation outputs for accuracy and reproducibility.
Review automated graders to ensure they assess meaningful engineering outputs, including forces, deflections, drifts, settlements, factors of safety, flow rates, and structural performance.
Identify incorrect assumptions, technical errors, unsuitable tolerances, and opportunities to bypass genuine engineering analysis.
Provide actionable technical feedback and track task revisions through completion.
Mentor and support 5–10 trainers, allocate work, monitor quality and productivity, and resolve technical blockers.
Establish and maintain quality standards, technical documentation, and best practices across task development.
Requirements
PhD, postdoctoral experience, or equivalent advanced technical expertise in Civil Engineering, Structural Engineering, Geotechnical Engineering, or a closely related discipline.
Strong programming skills in Python, C/C++, Julia, Fortran, or MATLAB/Octave.
Proficiency working in Linux and command-line environments.
Hands-on expertise in at least one major area, such as structural analysis, FEA, earthquake engineering, geotechnical modeling, or hydraulic/hydrological modeling.
Strong understanding of engineering principles, numerical methods, simulation workflows, and computational model validation.
Working knowledge of relevant engineering design standards, such as ASCE 7, ACI, AISC, Eurocodes, or IS codes.
Experience reviewing complex technical work, engineering simulations, research outputs, or computational models.
Strong analytical judgment and the ability to identify engineering inaccuracies, edge cases, and flawed assumptions.
Experience mentoring, reviewing, or leading small technical teams.
Excellent written communication skills for technical feedback and documentation.
ГибридseniorГеография найма не уточнена
Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
We prefer candidates who can work from our San Francisco office, and we'll also consider candidates based in Seattle; Preference will be given to candidates based in NY, SEA, SF or the Bay Area given the current location of team
