Location: Ukraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia
Workplace: Remote
ABOUT US
Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/
ABOUT THE ROLE
We are looking for a Senior AI Engineer to own and scale the AI layer of one of our core D2C subscription products. You will be fully responsible for production LLM features and the browser automation built around them end to end — prompt systems, structured outputs, evaluation, observability, and model selection — from first experiment to live release, with quality, reliability, and cost as your accountability.
This is a high-impact role suited for someone who decides with data, not intuition. Unmeasured prompt changes, untraced failures, and model swaps without benchmarks are not acceptable. You work in a modern TypeScript stack — Next.js, Cloudflare Workers and Containers with Hono, Hatchet task queues, Drizzle on Supabase Postgres, Vercel Blob. Browser automation on Browserbase and Playwright is roughly half of the job.
KEY RESPONSIBILITIES
PROMPT SYSTEMS & STRUCTURED OUTPUTS
- Design dynamic prompt templates with conditional logic and context injection that maximise generation quality
- Enforce predictable outputs with JSON mode, function calling, Zod/JSON schemas, validators, and repair loops
- Own complex LLM workflows (LangChain, LlamaIndex, or custom) that integrate cleanly into application logic
BROWSER AUTOMATION
- Build and maintain browser automation on Browserbase Functions and Playwright that traverses web flows reliably
- Classify screens with a model inside each traversal, and decide what the model handles versus deterministic code
- Ship automations as frozen, published workers — versioned, reproducible, and safe to roll back
- Orchestrate runs through Hatchet with retries, timeouts, and failure traces that explain every broken run
EVALUATION & EXPERIMENTATION
- Build evaluation pipelines — test datasets, LLM-as-a-judge, RAGAS-style metrics — and score responses and screen classifications in Langfuse
- Trace complex LLM chains to find bottlenecks in cost, latency, and context-window usage
- Run A/B experiments across models and prompts through an AI gateway (OpenRouter, Cloudflare AI Gateway); release only on quantitative benchmarks
- Re-evaluate models as new architectures emerge; fine-tune when domain requirements demand it
PRODUCTION OWNERSHIP
- Take AI features from experiment to live production on Cloudflare Workers and Containers, and stay accountable after release
- Manage rate limits, fallbacks, and model cost so features stay reliable at scale
- Resolve production incidents in owned AI and automation systems with documented root-cause analysis
QUALIFICATIONS
MUST-HAVE EXPERIENCE
- 【5+】 years of software engineering with Node.js, TypeScript, Next.js, and Postgres, including edge or serverless runtimes such as Cloudflare Workers
- Production browser automation with Playwright (Browserbase or similar): resilient selectors, retries, failure handling at scale
- Production experience with dynamic prompting — content that depends on input variables and injected context
- Structured outputs in production: JSON mode, function calling, Zod/JSON schemas
- Experience with unified LLM APIs or AI gateways (OpenRouter, Cloudflare AI Gateway): rate limits, fallbacks, cost-effective model selection
- LLM observability with Langfuse or similar: tracing, test datasets, scoring integration
- Evaluation methodology: RAGAS or custom LLM-as-a-judge systems
LEADERSHIP ATTRIBUTES
- Decides on benchmarks and trace data, not intuition
- Analytical — converts generation logs into metrics a business can act on
- Iterative — builds feedback loops and improves continuously
- Owns the outcome from experiment to production, and after
- Verifies before trusting — treats LLM output as unproven until validated
LOCATION
Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours.
BENEFITS
Discover the perks of being part of our vibrant team! We offer:
- Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance.
- Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days.
- Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge.
- Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them.
- Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt
Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth!
INTERVIEW PROCESS
After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps:
- Recruiter Screening (40 minutes)
- Technical Interview (60 minutes)
- Final Interview (30 minutes)
LIFE AT RUBY LABS
At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day.
This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen.
Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success.
#LI-Remote
УдалённоseniorUkraine; North Macedonia; Turkey; European Union; Serbia; Bosnia; Georgia; Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET
Location: Singapore
Workplace: Hybrid
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.
About the Role:
Cantina is expanding, and we're looking for a Research Scientist to join our growing Singapore team! In this role, you will drive foundational research on video generation models, taking ownership across the full research cycle and driving post-training research. Furthermore, you'll collaborate closely with data, infrastructure, and adjacent modeling teams to translate research findings into durable model improvements.
What You’ll Do:
- Build and maintain scalable systems for ingesting, preprocessing, and delivering large-scale video data for model training
- Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes
- Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs
- Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems
- Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency
- Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns
- Build tooling to support deduplication workflows at scale, including near-dedup pipelines over large video corpora
- Research and develop distillation methods for large-scale diffusion and flow-based video generation models, including guidance distillation and adversarial distillation, with a focus on preserving or improving generation quality while reducing inference cost
- Develop reward models and preference-based fine-tuning pipelines that align video generation quality with human judgments across dimensions such as aesthetics, motion quality, and prompt adherence
- Analyze the relationship between base model behavior and post-training outcomes, and work with the foundation model team to inform pretraining decisions accordingly
What You’ll Bring:
- Strong hands-on experience building or scaling large-scale data systems or pipelines for machine learning workflows
- Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent
- Familiarity with containerization and container orchestration, including Docker and Kubernetes
- Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns
- Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV
- Familiarity with multimodal or media data, including video, image, text, and audio
- Strong research background in post-training methods for large-scale diffusion or flow-based generative models, with deep hands-on experience in distillation across both inference efficiency and quality preservation
- Experience with reward modeling or preference-based fine-tuning for generative models, including RLHF, DPO or equivalent alignment approaches
- Solid understanding of the interplay between pretraining and post-training, and how base model properties affect distillation and fine-tuning outcomes
- Proficiency in Python and modern machine learning frameworks, with a strong preference for PyTorch or JAX
- Track record of independent research, with the ability to drive projects from initial idea through experimental validation
- Publications at top-tier venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV) preferred
- Good understanding of the practical challenges involved in building reliable, scalable, and reproducible data workflows for machine learning systems
Benefits We Offer:
- Competitive salary and generous company equity
- Personal time off and paid holidays
- Health insurance
- Global travel insurance: Covers you when traveling internationally
- Monthly spending stipend: $500 (~S$635)
- Equipment: All equipment needed for your home office
Location: Singapore
Workplace: Hybrid
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.
About the Role:
Cantina is expanding, and we're looking for an ML Engineer to join our growing Singapore team! In this role, you will build and scale systems for ingesting, processing, and delivering large-scale video and multimodal data for model training. You'll own the full pipeline — from raw content to curated, filtered, and training-ready datasets — with a focus on speed, reliability, reproducibility, and cost-efficiency. You'll partner closely with curation and modeling teams to operationalize evolving dataset recipes and iterate on approaches that improve model outcomes.
What You’ll Do:
- Design and scale distributed data pipelines for preprocessing, dataset generation, and repeated dataset refreshes
- Own workflow orchestration, job scheduling, monitoring, and failure recovery for large-scale data processing jobs
- Implement and maintain containerized pipeline infrastructure using Kubernetes or equivalent orchestration systems
- Optimize cloud-based data storage and movement across providers (AWS, GCS, or Azure) for cost, throughput, and operational efficiency
- Define and implement best practices for dataset storage layout, versioning, caching, retention, and access patterns
- Design and implement curation pipelines that determine which video and image content is selected, filtered, and retained for model training, including image-text pair datasets used in joint training regimes
- Build and improve VLM-based captioning and metadata generation workflows at scale across both video and image data
- Develop and apply quality and aesthetic scoring models, CLIP-based semantic filtering, and other signal-extraction approaches for data selection
- Build tooling to support deduplication workflows at scale, including near-dedup and exact deduplication pipelines over large video corpora
- Analyze dataset composition, identify quality issues, and iterate on curation logic to improve training outcomes
- Define and evolve standards for what constitutes high-quality, training-ready video data across different training regimes
What You’ll Bring:
- Strong hands-on experience building or scaling large-scale data systems and pipelines for machine learning, including dataset curation, filtering, and quality improvement
- Experience with distributed data processing frameworks such as PySpark or Ray, and orchestration tools such as Airflow or equivalent
- Familiarity with containerization and container orchestration, including Docker and Kubernetes
- Experience working with cloud-based data storage and compute (AWS, GCS, and/or Azure), including tradeoffs around cost, throughput, storage layout, and access patterns
- Experience with VLM-based captioning pipelines or quality/aesthetic scoring models for video or image data, including curation of image-text pair datasets for joint image-video training
- Familiarity with CLIP-based or embedding-based filtering and semantic data selection techniques
- Familiarity with video and media processing tools such as FFmpeg, PyAV, DALI, or OpenCV, and relevant libraries such as Decord, torchvision, PyTorchVideo, or torchaudio
- Proficiency in Python
- Strong problem-solving, communication, and documentation skills
Benefits We Offer:
- Competitive salary and generous company equity
- Personal time off and paid holidays
- Health insurance
- Global travel insurance: Covers you when traveling internationally
- Monthly spending stipend: $500 (~S$635)
- Equipment: All equipment needed for your home office
Location: Almaty, Kazakhstan
At
Bradken
, we're equipping the resource sector for a sustainable future. Our products operate in some of the world's toughest mining environments, helping customers improve productivity, reliability, and operational performance.
We're seeking a
Key Account Manager
to lead and grow strategic dealer and customer relationships across our Mining Products portfolio. This is an opportunity to work closely with customers, mine sites and channel partners, delivering solutions that create value while driving profitable growth across the region.
About the Role
You will play a key role in supporting Bradken's growth across the mining sector by developing strong partnerships, identifying new opportunities, and helping customers achieve better operational outcomes.
With a strong focus on
Customer Centricity
, you'll work closely with dealers and mine site customers to understand their challenges and deliver tailored technical and commercial solutions. You'll demonstrate
Innovation
by identifying opportunities to improve product performance and uncover new avenues for growth. Through a
One Team
approach, you'll collaborate with Engineering, Product Development, Manufacturing and Supply Chain teams to ensure customers receive exceptional support and service.
Your Impact
You will:
Develop and grow strategic dealer and key customer relationships across the mining sector.
Identify and convert new business opportunities while increasing market share across assigned territories.
Provide technical and commercial support across Ground Engaging Tools (GET), Undercarriage and Bucket product lines.
Conduct regular site visits to support product performance, strengthen customer engagement and identify operational improvements.
Develop account plans, sales forecasts and pipeline reporting through Salesforce.
Partner with internal teams to deliver customer-focused solutions and support long-term business growth.
Monitor competitor activity, market trends and customer requirements to support strategic decision-making.
Support commercial, forecasting and warranty activities to deliver strong customer outcomes.
About You
You are a commercially minded sales professional who enjoys building trusted relationships, solving customer challenges and developing opportunities that create value.
You will bring:
Experience in technical sales, account management or mining-related commercial roles.
Knowledge of mining, mobile plant, wear products or related heavy industry environments.
The ability to engage confidently with both operational and corporate stakeholders.
Strong commercial awareness and relationship-building capability.
Experience working independently while collaborating across global teams.
Proficiency in Salesforce CRM and Microsoft Office applications.
Qualifications in Mechanical Engineering, Metallurgy or a related discipline, or equivalent industry experience.
Willingness to travel domestically and internationally as required.
Fluency in
English, Kazakh and Turkish
.
Job Location:
Almaty, Kazakhstan
Why Bradken?
Everyone has a story. Be part of ours.
You'll join a global team that values safety, innovation and collaboration. Working alongside industry experts, you'll have the opportunity to influence customer outcomes, strengthen strategic partnerships and contribute directly to Bradken's continued growth across the region.
We offer:
Safety-first environment and mindset
Flexible work options
Competitive Total Reward Packages, including sales incentives
EAP for you and your family
How We Hire
About Our Screening Process
As we work with teams around the world, time-zone differences can make live screening challenging. To support a fair, consistent and inclusive evaluation process, we may invite candidates to complete a one-way video screening at a time that suits them. If you require adjustments or an alternative format, we're happy to discuss this with you.
Before commencing employment, you will be required to complete a psychometric assessment and pre-employment medical, including drug and alcohol testing.
We respectfully request no recruitment agency approaches.
Bradken is an Equal Opportunity Employer. We are committed to providing a diverse, inclusive, engaging and flexible environment for our people. All employment decisions are based on merit, competence, performance and business needs.
Location: Hyderabad, India
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Senior Software Engineer
Location- Hyderabad, India
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
We’re looking for a
Senior Software Engineer
to join our
Hyderabad (Hybrid - 3 days from the office)
team. In this role, you’ll help us improve code structure and architecture while leading team project planning to maximise efficiency and reliability across our production systems.
Get to know our
Engineering
team — what drives us, how we work, and what you can expect.
What You’ll Be Doing
Here’s what your day-to-day might look like:
Drive Technical Excellence:
Improve code structure and architecture across your team’s remit, performing high-impact code reviews to ensure quality and scalability.
Lead Project Planning:
Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features.
Optimise Operations:
Simplify the maintenance and operation of production systems, promoting visibility, health, and operational readiness.
Collaborate & Influence:
Build relationships across engineering teams to identify collaboration opportunities and influence the wider technical roadmap.
Mentor & Hire:
Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Strong Engineering Principles:
Deep pride in writing readable, well-designed, and well-tested software.
Backend Expertise:
Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust).
Data Proficiency:
Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch.
Systems at Scale:
Proven ability to manage web architecture at scale (handling 20krpm and above).
Technical Leadership:
Experience breaking down large pieces of work and guiding implementation choices for a team of engineers.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community organisers, proud parents, and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠
Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎
A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰
Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Explore our
Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: Singapore
Workplace: Remote
As Head of Regional Marketing, APJ, you will lead ClickHouse's regional marketing strategy across APJ, building awareness, generating pipeline, and accelerating revenue. You will build and lead the regional marketing team while partnering closely with APJ sales leadership as part of the go-to-market team, and adapt global campaigns to the distinct needs of markets across the region. You will be measured on enterprise pipeline and self-service revenue (MRR), working across both our self-serve, product-led motion and our sales-led enterprise motion.
What You Will Be Doing
- Own the APJ regional marketing strategy, annual plan, and budget, aligning field programs to regional pipeline and revenue targets in partnership with sales leadership.
- Build, lead, coach, and grow a team of regional marketers, setting clear goals, developing talent, and building a high-performance culture.
- Serve as the marketing counterpart to APJ sales leadership, participating in regional forecasting, QBRs, and account planning so marketing investment maps to sales priorities.
- Partner with growth and demand generation to support the commercial sales team's product-led motion, converting self-serve usage into commercial pipeline and expansion revenue.
- Develop an integrated regional program mix spanning first-party hosted events, third-party conferences, virtual events, ABM plays, digital advertising, and partner marketing.
- Adapt global campaigns, messaging, and content for APJ markets, and establish scalable processes for campaign planning, lead management, and follow-up with marketing operations and global demand generation, so every program has a clear path from engagement to pipeline.
- Track, analyze, and report on regional marketing performance, including pipeline generated and influenced revenue.
- Identify emerging market opportunities across APJ, making the case for new investments in geographies, verticals, or channels, and represent the region in global planning cycles.
What You Bring Along
- 10+ years of experience in field, regional, or integrated marketing within the database, data analytics, infrastructure, or developer tooling space
- Deep experience marketing across APJ markets
- Demonstrated success owning a pipeline number and driving measurable revenue impact through regional marketing programs
- Proven ability to partner with sales leadership at the VP level
- Experience working in a remote-first, globally distributed organization, with the ability to collaborate across time zones
- Comfortable with ambiguity and energized by building in a fast-paced, high-growth environment
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: Remote (Canada); U.S. (Remote)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
About the role:
An indispensable component of Clipboard's marketplace is its workplace customers. The Account Manager ensures the continued success of the partnership between Clipboard and its workplace partners, working to deliver an optimal experience at every level of their organizations. The job encompasses being a resource to workplaces when issues arise, liaising with building- and corporate-level contacts, and keeping abreast of a litany of important business metrics for each account.
Your week will be balanced between high-touch customer engagement and internal account strategy, with a laser focus on net revenue retention. You are an avid problem-solver, a strategic communicator, and a diligent executor who can navigate complex relationships to sharpen your business acumen.
Responsibilities:
- Manage & grow your portfolio: Own a book of business with accountability for "Same-Store Shift Postings" (SSSP, which measures utilization) and "Same-Store Net Revenue" (SSNR, which measures profitability). In your pursuit of driving those numbers higher, you will identify churn risks, mitigate issues, and proactively uncover opportunities for commercial expansion.
- Strategic account planning: Build and maintain detailed account plans. Forecast performance accurately and provide regular insights to internal leadership regarding pipeline health and account stability.
- Drive executive value: Establish trust with both clinical and non-clinical executives. Lead Quarterly Business Reviews (QBRs) and strategic meetings to demonstrate value, align on business goals, and negotiate mutually beneficial outcomes.
- Operational excellence: Act as the primary point of contact for complex escalations, ensuring rapid resolution while implementing systemic solutions to prevent recurrence.
- Cross-functional advocacy: Partner with Product, Legal, and Strategy Operations to represent the voice of the customer, driving product improvements and internal initiatives that optimize the client experience.
Beyond the basics, what will make you successful:
- Extreme ownership: The buck stops with you, no matter what anyone else did or did not do. You're self-reliant, and can get things done in the chaos that is an early-stage startup scaling quickly.
- Extreme curiosity: You ask "why" 3-5 times in a row for the same problem, digging and digging and not being satisfied until you truly understand the root cause.
- Scrappiness: You look for ways through problems and refuse to let obstacles derail your progress. You bring solutions instead of asking ‘what should I do?’
- Fast-paced: You thrive on moving quickly and are highly adaptable to a market that evolves quickly.
Our interview process:
1. Application (where you are now!)
2. Case study
3. Interview 1 with a hiring manager
4. Interview 2 with Head of Account Management
5. Culture chat with a partner on our People Team
Why a case study first?
Since this role is remote and requires a high degree of autonomy, the case study helps us understand how you operate in an asynchronous environment. Specifically, we’re looking at how you interpret written context, navigate ambiguity, and identify opportunities independently. This ensures our first conversation is grounded in your actual work style rather than just a resume walkthrough.
Qualifications:
- Relationship management experience not required but strongly preferred
- Excellent verbal and written communication skills
- Willingness to try / lack of fear
- Bachelor's Degree
Benefits:
- Do great work that matters for customers who could really use your help
- Competitive pay
- Unlimited PTO
- Fully Remote
#LI-DNI
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: CAN: Vancouver (333 Seymour St); AU: Melbourne: (260 Burwood Rd)
Workplace: Hybrid
The role and its impact
As a Senior Engineer on the Enterprise Platforms team, you will provide technical expertise across the platforms, integrations, automations, and AI tools that support Xero’s global teams. You will help navigate complex technical challenges from planning through implementation, keeping systems secure, reliable, scalable, and easy to use.
Serving as a trusted technical guide, you will offer practical advice on system changes, incidents, and continuous improvement. Working alongside your Platform Lead, you will improve technical standards, reduce system clutter, and build reusable solutions that make daily work smoother for everyone.
The team and how they connect
The Enterprise Platforms team partners closely with Product Managers, Analysts, Security, Architecture, and Operations to deliver sensible internal solutions. They look after Xero's core SaaS platforms, cloud services, and custom integrations, collaborating through configuration sessions, pair problem-solving, and shared learning. Together, the team focuses on streamlining workflows and maintaining operational excellence across internal technologies.
Initially, you will focus on
- Enhancing enterprise SaaS platforms, cloud services, and internal automation workflows using APIs and modern platform features.
- Designing, developing, and supporting integrations, data migrations, and AI-enabled workflows to connect internal systems safely.
- Investigating complex technical incidents, determining root causes, and applying lasting fixes to keep production systems stable.
- Creating clear documentation, runbooks, policies, and reusable design patterns to support consistent platform management.
Where and how you can work
Xero offers a flexible hybrid working model designed to give you balance and connection. You will work from our modern office spaces, coming together with your team on designated boost days to collaborate, connect, and innovate, while enjoying the flexibility to work remotely for the remainder of the week.
Here are some of the things we are looking for
- A strong background in building, configuring, and supporting cloud services or enterprise SaaS platforms.
- Practical experience creating integrations, automations, or system workflows using APIs, scripting, and modern tools.
- Demonstrated ability to diagnose technical incidents, resolve root causes, and maintain reliable production environments.
- Talent for translating business and user needs into clear, secure, and practical technical solutions.
- Expertise in applying security guidelines, access controls, and change management principles within live systems.
- Skill in mentoring team members, sharing technical knowledge, and communicating complex technical concepts clearly to diverse stakeholders.
Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
You’ll join a full-stack data team building the systems making our AI agents measurably smarter with every interaction, building the real-time pipelines, analytics products, and deep personalization primitives that turn millions of conversations into business outcomes. You’ll work across these areas:
- Data Foundations: Architect and build our core platform to handle data at scale with low latency. This includes our real-time eventing infrastructure, streaming and batch ETL pipelines, and our Iceberg-based data lakehouse. You will own the systems for interactive OLAP querying, orchestration, and experimentation, ensuring our data is trustworthy, fast, and easy to use for the entire organization.
- Memory & Personalization: Power the next generation of intelligent experiences. You will develop the systems for long-term agent memory, build reusable Customer Data Platform (CDP) primitives, and implement the optimization loops that allow our agents to personalize interactions and demonstrably lift business outcomes.
WHAT YOU'LL BRING
We’re excited to meet candidates who bring depth in one of these areas:
Platform Engineering
- You have designed, built, and operated large-scale data systems, processing terabytes or petabytes of data with technologies like Spark, Flink, Trino/Presto, and data lakehouse formats like Iceberg or Hudi.
- You possess strong backend and distributed systems fundamentals in a language like Go, Scala, or Python. You understand the trade-offs of different storage engines, query plans, and data serialization formats.
- You have a history of implementing pragmatic data governance, lineage, and testing. You’ve built platforms that are cost-aware, highly operable, and a delight for other engineers to build upon.
- You're well-versed in data modeling best practices (dimensional modeling, star/snowflake schemas, slowly changing dimensions) and know how to optimize analytical query patterns for both traditional OLAP systems and modern cloud data warehouses.
Product Engineering
- You have a portfolio of shipped data products, including analytics dashboards, data visualization tools, or alerting and exploration systems.
- You are a skilled full-stack engineer (e.g., TypeScript/React and a service layer like Go), with a keen eye for performance, API design, and polish.
- You excel at turning ambiguous questions into clear, intuitive interfaces. You have strong product sense around information architecture, handling empty states, and making complex data explainable.
- You have practical experience with ML-powered product features, such as personalization, recommendations, or classification systems.
Shared Qualities
- Strong software engineering background with 4-7+ years of hands-on development experience in building and shipping production systems or products.
- A passion for being on the frontier of AI products.
- High agency and a bias to action in a high-autonomy environment.
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Deep experience with event streaming platforms (e.g., Kafka, Kinesis) and real-time data processing.
- Experience with modern data visualization libraries (e.g., ECharts, D3.js) and the principles of building performant, reusable charting components for complex data.
- Production experience with recommender systems or optimization loops (e.g., multi-armed bandits, ranking).
- A track record of leading complex technical projects or mentoring other engineers.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU’LL DO
- Build Sierra’s enterprise platform capabilities.
You’ll design and build the foundational systems and capabilities that enable Sierra to serve the world’s largest and most demanding enterprises. This includes the identity, access management, integration points, and extensibility that enterprise customers require to allow customers to embed Sierra into their existing ecosystems.
- Scale with our largest customers.
Our enterprise customers have complex environments, strict security requirements, and high expectations for reliability. You’ll ensure Sierra’s platform scales across organizations, regions, and use cases while maintaining performance and simplicity.
- Form the foundation of trust.
Enterprise customers trust Sierra with their most sensitive workflows and data. You’ll help set and uphold a high bar for security, compliance readiness, reliability, and operational excellence across the platform.
WHAT YOU’LL BRING
- A passion for being on the frontier of AI products.
- Pride in building reliable, maintainable, and secure systems that scale.
- Motivation and high-agency to drive outcomes - we have a high-autonomy culture and each team member has lots of agency to overcome obstacles and achieve customer impact.
- Alignment to our company values throughout your work, notably finding a balance between Craftsmanship, Customer Obsession, and Competitive Intensity.
- 4+ years hands-on experience building production products and systems.
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER…
- Experience building enterprise features such as SSO, RBAC, IAM, audit logs, or compliance-adjacent systems.
- Experience with integrations, APIs, and working with complex customer environments.
- Backend-leaning full-stack experience building enterprise SaaS applications.
- Security-adjacent experience (e.g., auth, permissions, data isolation, threat modeling).
- Experience building AI-powered products or platforms.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Remote, Singapore
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a
Solutions Architect
at GitLab, based in Singapore, you’ll help prospects and customers understand how our
Agentic DevSecOps platform
can support their technical requirements and business goals across fast paced AI-driven software development lifecycles. You’ll act as a trusted technical advisor through complex evaluations, guide teams through digital transformation, and connect customer needs back to our product direction. Reporting to a regional Solutions Architect leader, you’ll work closely with Account Executives and cross-functional partners across Asia. You’ll focus on successful agentic platform adoption, strong technical evaluations, and building trusted relationships that highlight the value we bring in an AI-driven DevSecOps landscape.
You’ll work at the intersection of customer outcomes, modern software delivery, cloud, security, and emerging
agentic AI
workflows, helping organizations ship trusted software at the speed of imagination.
What you will do
Work with
Account Executives and regional sales teams to shape technical account strategies that increase qualified pipeline and support expansion opportunities.
Run
technical discovery sessions, product demonstrations, and validation activities to define success criteria and accelerate technical validation across the software development lifecycle.
Own
technical evaluations as the primary point of contact, including proof of concept and proof of value activities, solution design, and workshop delivery that produce documented outcomes and clear next-step decisions.
Develop
solution architectures that align GitLab capabilities with customer environments, priorities, and operating models to reduce implementation risk and speed time to value.
Guide
customers on modern software development practices, including continuous integration, continuous deployment, security, and cloud adoption, to improve delivery consistency and security readiness.
Build
strong relationships with technical practitioners and business stakeholders to strengthen alignment, shorten decision cycles, and support GitLab-based transformation efforts.
Create
reusable technical examples, best practices, and collateral that improve team effectiveness, reduce time spent recreating customer-facing assets, and inform customer and partner conversations.
Provide
customer feedback, field insights, and market observations to Product Management, Engineering, Sales, and Marketing to influence roadmap priorities and strengthen market positioning.
What you will bring
Experience
working with customers in technical pre-sales, consulting, or similar customer-facing roles. Minimum 2+ years of presales or equivalent client-facing experience with a total of 5+ years of industry experience is required.
Ability
to run technical evaluations such as proofs of concept, proofs of value, workshops, tenders, audits, or value stream assessments.
Working knowledge
of the end-to-end software development lifecycle, including DevSecOps practices and continuous integration and continuous deployment workflows. Competent knowledge of generative AI and agentic technologies will be a plus.
Hands-on familiarity
with GitLab or similar DevSecOps or software delivery platforms.
Clear communication skills
with the ability to adapt technical messages for practitioners, technical stakeholders, and senior business stakeholders.
Strength
in building credibility, listening carefully, developing technical champions and representing customer needs to internal teams.
Interest
in continuous learning, knowledge exchange, and developing expertise in GitLab, AI, and related cloud technologies.
Familiarity
with cloud platforms, self-managed environments, or transferable experience from related technical fields is welcomed.
About the team
We serve as a technical partner for the field, helping customers and internal teams see the value of GitLab's platform approach during complex engagements. We work closely with go-to-market and product organizations, bringing field feedback into conversations about product direction, services, enablement, and value messaging. As a distributed team in an all-remote environment, we rely on clear communication, sound judgment, and common practices to work with customers across regions. We play an important role in GitLab's continued growth by combining technical depth, strong customer relationships, and operational discipline. For more on how we work, see
Solution Architecture Handbook
.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, Japan
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Solutions Architect, you'll be a trusted advisor to GitLab customers and prospects in Japan. You'll explain how GitLab's artificial intelligence-powered development, security, and operations (DevSecOps) platform addresses customers' business priorities and technical requirements, helping technical leaders and executives evaluate its value.
You'll translate technology into business value and help customers make informed adoption decisions. The initial sale isn't the end of the relationship: you'll support continued adoption, new use cases, and expansion into additional products and editions, helping increase GitLab consumption through greater customer value.
What you’ll do
Lead structured discovery to understand customer business priorities, development processes, challenges, stakeholders, and success criteria. Connect proposed solutions to business value and return on investment.
Collaborate with Account Executives on account strategies and customer action plans that move opportunities from technical evaluation to contract.
Lead demos, workshops, proofs of concept or value, architecture design, and technical validation, including Linux-based, self-managed, and air-gapped customer environments.
Design roadmaps for DevSecOps and artificial intelligence-enabled development across the software development lifecycle. Address processes, roles, governance, and developer experience. Plan the effort and timelines for migrating continuous integration and continuous delivery pipelines from Jenkins to GitLab.
Resolve post-sale adoption challenges with post-sales teams and partners, and identify expansion opportunities across use cases, business units, workloads, products, and editions.
Build relationships with developers and business and technical leaders. Explain GitLab's competitive differentiation and address objections about existing tools, overlapping artificial intelligence capabilities, cost, and migration effort.
Create reusable proposals, architecture diagrams, proof-of-value plans, executive materials, technical content, and success stories. Present at webinars and marketing events to support pipeline development.
Share customer feedback and competitive insights with Product Management, Engineering, Sales, and Marketing. Test GitLab, artificial intelligence, DevSecOps, and cloud technologies hands-on, and mentor team members to share best practices.
What you’ll bring
Experience in technical pre-sales, solutions architecture, consulting, technical sales, or a similar customer-facing role, using structured discovery, value selling, stakeholder mapping, and consensus building.
Practical understanding of the software development lifecycle, DevSecOps, security, and cloud technologies, with experience using GitLab or comparable source control, continuous integration and continuous delivery, and developer collaboration platforms.
Experience leading demos, workshops, proofs of concept or value, technical proposals, or solution architecture design, and the ability to discuss deployment, security, and operations with customer technical teams.
The ability to explain technical trade-offs and business value to developers, technical leaders, and executives, and collaborate with Account Executives on opportunity strategy, adoption, and expansion.
Familiarity with retrieval-augmented generation and Model Context Protocol, and the ability to discuss their use in artificial intelligence-enabled development.
The ability to mentor team members, share reusable knowledge, and give and receive feedback with empathy and respect for others' expertise.
Fluency in Japanese and professional working proficiency in English.
Helpful but not required: a background in software development, systems integration, or project or product management. Other useful experience includes developer productivity, cloud-native technologies, enterprise platform governance and rollout, post-sales recommendations, consumption-based models, or creating reusable technical content.
About the team
The Solutions Architect team is part of GitLab's Sales organization. We work with Sales, Product Management, Engineering, Marketing, post-sales teams, and partners across regions, collaborating asynchronously to share reusable knowledge and best practices. We learn through hands-on testing and iteration, guided by GitLab's values of collaboration, customer results, efficiency, diversity, inclusion and belonging, iteration, and transparency.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Location: Remote, Worldwide
Workplace: remote
About Welo Life Sciences
Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications. welolifesciences.com
About the Role
We are looking for experienced English into German linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation.
Key Responsibilities
Translate clinical research, regulatory and pharmacovigilance documents from English to German.
Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content.
Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency.
Meet strict, non-extendable turnaround times on time-sensitive content.
Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions.
Field of Expertise
Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries)
Regulatory Documents (SmPC, PIL, Labels, CTD Modules)
Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE)
Must-Have Criteria
Applicant must meet at least one of the following criteria:
Education
A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or
Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or
A minimum of five years of full-time professional experience in translation
Relevant translation experience
At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents
Technical Skills
Familiarity with CAT tools (XTM/Phrase), License will be provided.
Familiarity with Track Changes in Microsoft Word
Nice-to-Have
Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar
In-house industry experience at a CRO or pharmaceutical company.
Before Applying
Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.
Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).
Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global
We look forward to receiving your application!
Job Reference: #LI-JC1
Location: New York City; US Remote
Workplace: Hybrid
ABOUT PINECONE
Pinecone is the trusted AI knowledge company. Its trusted AI knowledge platform—including its Database, Nexus, and Marketplace products—power accurate, fast, and cost-effective AI applications for more than 10,000 customers and 1M developers worldwide. Pinecone's mission is to make AI knowledgeable.
ABOUT THE TEAM AND ROLE
We're looking for an Applied AI Engineer who loves building real applications with AI. You'll work across the stack, from backend services and retrieval pipelines to APIs and user-facing applications, turning new AI capabilities into working solutions.
This is a hands-on engineering role for someone who enjoys moving quickly, experimenting with emerging technologies, and owning projects from initial idea to production.
You'll work closely with our engineering and product teams, as well as customers and partners, to explore new use cases, build reference applications, and demonstrate what's possible with Pinecone's technology.
The ideal candidate combines strong full-stack engineering skills with practical experience building LLM-powered applications and agentic systems. You should be equally comfortable discussing architecture, writing production code, and putting together a working prototype.
RESPONSIBILITIES
- Design, build, and ship end-to-end AI applications using Pinecone’s retrieval and knowledge infrastructure.
- Develop full-stack solutions spanning frontend interfaces, backend services, APIs, data pipelines, and LLM integration.
- Build reference applications, integrations, and reusable components that help developers and customers adopt Pinecone.
- Experiment with emerging AI patterns, including RAG, agents, tool use, context engineering, and agent memory.
- Work with customers, partners, and internal teams to understand real-world problems and translate them into working software.
- Evaluate and improve the quality, reliability, latency, and cost of AI-powered applications.
- Share technical insights and best practices through code, examples, and technical content.
- Bring learnings from building applications back into Pinecone’s product and engineering teams.
WHAT YOU’LL BRING TO THE TABLE
You don't need to check every box, but you should enjoy building software and be excited about what AI makes possible.
FULL-STACK ENGINEERING
- Strong software engineering background with experience designing, building, and shipping production applications.
- Proficiency in Python and/or TypeScript, including modern backend frameworks and frontend technologies such as React or Next.js.
- Experience building APIs, integrating external services, and working with databases and cloud infrastructure.
- Ability to independently take a project from rough requirements through implementation and deployment.
APPLIED AI
- Hands-on experience building applications using LLMs, embeddings, vector databases, or retrieval-augmented generation.
- Familiarity with modern AI development tools, frameworks, and APIs.
- Understanding of the practical challenges of building AI applications, including retrieval quality, evaluation, latency, reliability, and cost.
- Curiosity about emerging patterns in agentic applications, context management, and AI-driven workflows.
OWNERSHIP & COLLABORATION
- A builder's mindset: you enjoy writing code, experimenting, and getting working software into users’ hands.
- Comfortable working with ambiguous requirements and making pragmatic technical decisions.
- Ability to communicate technical ideas clearly to engineers, customers, and other stakeholders.
- Comfortable moving between rapid prototypes and production-quality implementations.
- Interest in understanding how developers and customers use the technology and translating that feedback into better solutions.
BONUS POINTS
- Experience with Pinecone or other vector databases and search technologies.
- Experience building agentic applications, agent memory systems, or complex RAG pipelines.
- Contributions to open-source projects, developer tools, or technical communities.
- Experience working directly with customers on technical projects.
- Experience deploying and operating AI applications in production.
PERKS & BENEFITS
- Comprehensive health coverage including medical, dental, vision, and mental health resources
- 401(k) Plan
- Equity award
- Flexible time off
- Paid parental leave
- Annual Company Retreat
- WFH Equipment Stipend
Benefits and eligibility may vary by country of employment.
Location: Tokyo, Japan
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT US
Notion helps you build beautiful tools for your life's work. In today's world of endless apps and tabs, Notion provides one place for teams to get everything done, seamlessly connecting docs, notes, projects, calendar, and email—with AI built in to find answers and automate work. Millions of users, from individuals to large organizations like Toyota, Figma, and OpenAI, love Notion for its flexibility and choose it because it helps them save time and money.
In-person collaboration is essential to Notion's culture. We require all team members to work from our offices on Mondays, Tuesdays and Thursdays, our designated Anchor Days. Certain teams or positions may require additional in-office workdays.
ABOUT THE ROLE
The Solutions Consultant Manager is the person who makes our GTM motion real on the ground. As an in-region leader directly managing a team of Solutions Consultants, you'll own your team's full commercial output—new logo, expansion, and renewals—and be accountable for both the results and the quality of execution that produces them.
This isn't a traditional pipeline-management role. The best SC Managers are coaches first: they know what a great first meeting looks like, can watch a live build and tell a rep exactly what to change, and build the operating rhythm and inspection cadence that makes consistent execution possible across the team. If you're a builder who loves developing people as much as winning deals—and you want to lead a regional team in a go-to-market model that's genuinely new—this is the role.
WHAT YOU'LL ACHIEVE:
- Own the commercial performance of your team across new logo ARR, expansion ARR, and UBP outcomes—accountable for both the headline numbers and the quality of execution that drives them
- Coach SCs on the GTM builder motion: what great looks like in a first meeting (workflow diagnosis, current → future architecture), a second meeting (live build in Notion + value narrative), and through the full cycle to adoption hand-off
- Contribute to and participate in the regional operating cadence: weekly pipeline reviews, deal support sessions, call reviews against the motion quality rubric, and forecast calls with senior leadership
- Hire, onboard, and certify new SCs to the GTM builder motion—driving readiness from ramp through consistent execution, and managing performance with clarity when expectations aren't met
- Partner with the regional BDR manager on pipeline strategy, outbound targeting, and qualification standards to ensure the team's book of business is healthy and growing
- Partner with Outcomes leadership on adoption hand-offs, at-risk account management, and renewal strategy—owning the overall commercial arc for the region while collaborating on the execution that follows close
- Represent your team or region in leadership forums with clear signal on what's working, what needs investment, and where execution is breaking down
SKILLS YOU'LL NEED TO BRING:
- Track record as a quota-carrying B2B seller with direct experience in workflow design, live demos, or technical sales—you can coach the builder motion because you've run it yourself
- Frontline sales management experience: built an operating cadence, ran performance management, and developed talent from onboarding through consistent overperformance
- Strong coaching orientation: you can watch a demo or deal review and identify specifically what to change—not just whether the outcome was good, but why, and what the rep should do differently next time
- Commercial instincts at the team level: able to read pipeline health, identify risk early, and drive urgency across a team without micromanaging individual deals
- You don't need to be an AI expert, but you have a strong interest in the evolving AI landscape, stay closely attuned to industry trends and developments, and are curious and willing to adopt AI tools to work smarter and deliver better results.
- Native or bilingual level fluency Japanese and business-level English proficiency across speaking, listening, and reading, including the ability to support team members with global communication
NICE TO HAVES:
- Experience selling or managing in a consumption or usage-based business where adoption signals matter as much as closed ARR
- Track record building high-performing regional teams from an early stage: hiring to profile, structured onboarding, certification, and performance management
- Experience in a shared account ownership model—able to navigate the SC/CSA hand-offs and hold the commercial arc across the full customer lifecycle
We hire talented and passionate people from a variety of backgrounds because we want our global employee base to represent the wide diversity of our customers. If you’re excited about a role but your past experience doesn’t align perfectly with every bullet point listed in the job description, we still encourage you to apply. If you’re a builder at heart, share our company values, and enthusiastic about making software toolmaking ubiquitous, we want to hear from you.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Prague; Limassol
Workplace: remote
Join Azul at a pivotal moment as we expand the market for Java intelligence and observability solutions that help enterprises optimize, secure and modernize their Java environments.
As Principal Product Marketing Manager, Java Intelligence, you will be responsible for market strategy, positioning, messaging, go-to-market execution and commercial success for key areas of Azul’s Java Intelligence portfolio, including Azul Intelligence Cloud, Azul Optimizer Hub and Payara InSight.
You will shape how customers understand the value of these solutions, influence product direction in partnership with Product Management and Engineering and drive measurable business outcomes. This is a highly visible individual contributor role that requires strategic thinking, strong market instincts and the ability to lead through influence, translating complex technical capabilities into compelling business value for developers, architects, operations teams and enterprise decision-makers.
This role will ideally be based in either Prague, Czech Republic or Limassol, Cyprus
Or remotely in Europe or the EU.
What You'll Do (aka Responsibilities)
You will be responsible for specific areas across Azul Intelligence Cloud, Azul Optimizer Hub, and Payara InSight, working closely with other product managers and cross-functional partners. You will help shape product strategy, roadmap priorities, pricing and packaging, market positioning, and business performance for your areas. You’ll use customer insight, market data, and business results to recommend direction, build alignment, and drive decisions across product, engineering, sales, and marketing.
The balance of your focus across the three products will evolve as business priorities change. These products are also closely connected to Azul’s Java runtimes: Optimizer Hub ships as part of Azul Prime, while Intelligence Cloud’s JVM Inventory supports Azul Core Oracle migration initiatives. Your work will therefore influence broader product and runtime priorities, and at times may include direct involvement with Azul Core and Azul Prime.
This is an individual contributor role with no direct reports. Success will come through strong product judgment, clarity, data-driven decision making, collaboration, and the ability to influence teams and senior leaders.
Responsibilities:
Drive business and product outcomes.
Define meaningful measures of success for your product areas and use them to guide priorities and decisions. Monitor sales, pipeline, pilot-to-production conversion, adoption, retention, and other relevant product and business metrics. Partner with sales, marketing, engineering, and leadership to understand performance, identify opportunities or risks, and adjust product direction when the data or customer feedback indicates a change is needed.
Shape product strategy.
Develop and recommend the multi-year direction for your areas, including where the products can differentiate, which customer segments and use cases to prioritize, and where Azul should build, partner, or integrate. Ensure your recommendations reflect customer needs, market dynamics, competitive intelligence, technical considerations, and Azul’s broader enterprise and open-source portfolio.
Partner with executive leadership.
Report to the VP of Product Management and work closely with the CPO, CEO, CRO, CTO, and other senior leaders. Present product strategies, roadmap recommendations, pricing considerations, customer insights, and business results clearly and credibly. Use evidence to support recommendations, invite constructive challenge, and adapt direction as new information emerges.
Translate strategy into roadmap priorities.
Turn product strategy into clear, sequenced, and achievable roadmap recommendations. Evaluate priorities and trade-offs across products and initiatives, build alignment with engineering, sales, and marketing, and help teams understand both what is being prioritized and why. Communicate roadmap direction effectively to internal stakeholders and customers while balancing customer needs, business opportunity, technical feasibility, and speed of execution.
Develop pricing and packaging recommendations.
Help shape how Intelligence Cloud is priced, packaged, and metered across Java environments of varying sizes and complexity, how Optimizer Hub is positioned and packaged as part of Azul Prime, and how Payara InSight is packaged for Azul Payara customers. Develop and test pricing models, gather feedback from customers and the field, and partner with finance, sales, and leadership to refine and implement recommendations.
Lead inbound product management activities.
Partner closely with engineering throughout the product development lifecycle, from requirements and design reviews through implementation decisions and release readiness. Lead customer discovery and requirements sessions, translate customer problems into clear product needs, and provide direction on UX and UI priorities. For areas involving Optimizer Hub, consider the operator experience of installing, sizing, and running the product on Kubernetes. Contribute to customer-facing technical documentation and knowledge-base content, deliver compelling product demonstrations, and continually evaluate the usability of the product.
Lead outbound product management activities.
Partner with marketing on positioning, product launches, sales enablement, competitive differentiation, and customer-facing content. Participate in customer and prospect conversations, support strategic deals and escalations, and conduct ongoing market and competitive research. Help ensure product messaging resonates with developers, platform teams, technical decision-makers, and executive buyers.
Build technical credibility.
Develop a strong working understanding of the technologies behind the products and engage effectively with engineering teams on product and technical trade-offs. You do not need to be a JVM internals expert, but you should understand JVM architecture and operating principles, including JIT compilation and warm-up, well enough to have substantive conversations with engineering and translate technical capabilities into meaningful customer and business value.
What you bring (aka Experience, Skills)
8+ years experience in product management, including several years owning a product or product line end to end — strategy through launch through revenue.
Track record shipping enterprise SaaS in an adjacent market: application performance monitoring, application security, observability, optimization, systems management, or log analytics.
Fluency with AI tools and experience operating in an AI-first product management organization — you use them in your daily product work and have a view on where they help and where they don't.
Deep technical fluency generally — you can read an architecture diagram, follow an engineering debate, and ask the question that changes the answer.
Demonstrated ownership of pricing and packaging for a technical product, including the messy cross-functional work of getting a model approved and into market.
Understanding of DevOps engineers, platform engineers, and developers as the key influencers in an enterprise sales cycle.
Strong domain knowledge of public cloud (AWS, Azure, GCP) and Kubernetes.
Excellent written and verbal communication in English — equally effective with an engineer and with a Fortune 100 CIO.
Comfortable in a fully remote, async, multi-time-zone setup: self-directed, and a strong writer because writing is how decisions get made here.
Comfortable in a startup-shaped environment where bringing order to chaos is part of the job.
Nice to have
Hands-on software or quality engineering background — you have written code and debugged production systems.
Experience with open source communities.
Familiarity with cloud cost optimization: how compute is provisioned, monitored, and optimized.
Experience taking a new product from early traction to a durable revenue line.
Working knowledge of Java and Java development tooling.
Familiarity with Jakarta EE application servers (Payara, WebLogic, WebSphere, JBoss) and OpenTelemetry.
Experience working across more than one product at once, especially products at different stages or sold through different motions.
Experience with infrastructure software that customers deploy and operate themselves, not just SaaS.
What we Offer
· Comprehensive compensation and healthcare packages
· Referral Program
· Work-life balance, remote-first, paid time off, company shutdown, holidays
· Work with top experts worldwide whom contribute to the Java ecosystem
Our Culture & Values
· Maniacal Customer Focus
· Innovation & Excellence
· Initiative & Courage
· Impact & Influence
· Integrity & Transparency
· Diversity, Inclusion & Teamwork
Employment at Azul is contingent upon the completion of reference and background checks.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
The agent must collect and use a card number but can never see it. This work sits across four hard technical domains: payments, security, real-time voice, and LLMs. Voice is the core challenge. A caller speaks or types a card number in a live, low-latency audio stream, and the digits must never reach the model, while the model stays on the call.
Sierra owns every system that touches card data, and one small team owns it end to end across three workstreams: Platform, Product, and Safety & Integrity. Customers keep their own telephony and payment gateways. Payments is live in production for some of the largest consumer enterprises, on a platform that handles hundreds of millions of calls a year. The platform is certified to PCI DSS Level 1.
- Build real-time card capture for voice: intercept keypad and spoken digits in a live audio stream, upstream of the agent runtime in a network-segmented environment, while the LLM stays live on the call. Make it work across every telephony provider and protocol Sierra supports.
- Build and extend the tokenization platform: agents receive and send short-lived tokens, and the platform swaps a token for the real value only when it calls the customer's payment gateway.
- Own the payments egress control plane: every destination for card data is approved, versioned with the agent release, and enforced by infrastructure below the application, not by convention.
- Make payment actions correct: an at-most-once action primitive in the Agent SDK, validated amounts and items, and monitoring that compares what the agent said about a payment with what really happened.
- Keep card data out of places it should not be: deterministic detection in the agent's hot path that catches what general-purpose models miss. No LLM, including any we build ourselves, ever sees a plaintext card number.
- Make payments self-serve: one payments API across Agent Studio, the Agent SDK, and Ghostwriter, Sierra's agent-building agent; gateway middleware that developers write against tokens; and support for single-tenant and customer-cloud deployments. Any team can add payments to an agent without a payments engineer in the loop.
- Grow the platform beyond cards: extend tokenization into a privacy vault for all PII.
WHAT YOU'LL BRING
- 5+ years building backend, platform, or infrastructure systems, with a track record of shipping and operating high-reliability services in production.
- A deep security instinct. You design as though every component will eventually be compromised, and you reason naturally about blast radius, least privilege, and making bad states impossible rather than reacting to them.
- Rigor about correctness under failure: retries, idempotency, at-most-once behavior, and clear handling of timeouts and unclear results from external systems.
- Fluency in a systems language (we use Go) and comfort owning critical systems end to end, from design through production and on-call.
- Range and ownership. You like a small team with broad scope, you build clean abstractions over messy external systems, and you're never satisfied solving a problem once per customer.
- Clear communication. You can explain a design or a risk to other engineering teams and to non-engineers.
- Degree in Computer Science or a related field, or equivalent professional experience.
You don't need payments experience. The engineers who built this platform came from backend, infrastructure, and security work, not payments. We care more about how you build correct, secure systems than about the word "payments" on your resume.
EVEN BETTER…
- Real-time or streaming systems: voice, telephony, media, or low-latency pipelines.
- Applied cryptography and key management, network isolation, egress control, or cloud security.
- Platforms other engineering teams build on, such as APIs, SDKs, and self-serve developer services.
- Deployments into customer-owned clouds or single-tenant environments.
- Customer-facing technical work, such as architecture reviews with customers.
- Setting technical direction on ambiguous, high-stakes problems.
- Payments, fintech, or another sensitive-data domain such as healthcare or identity.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: San Francisco, CA
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
When someone calls an airline, texts a retailer, or opens their bank's app and talks to a Sierra agent, our systems carry that conversation. Phone calls, SMS, WhatsApp, email, and the chat inside our customers' apps all run through this team.
AI voice, chat, and messaging agents are new and they must operate with global communication networks. Nobody has fully solved how to make the two work together at the speed of a real conversation. We have to solve it for millions of calls, and you will be building the future of how entire industries will operate with AI agents.
Demo: Finding the perfect stay https://sierra.ai/resources/videos/demo-finding-the-perfect-stay
Demo: Flight disruption recovery https://sierra.ai/resources/videos/demo-flight-disruption-recovery
- Multi-modal: Make one conversation work across voice, text, and screen. A customer can start by talking, switch to typing on a crowded train, send a photo of a broken part, and get a link or a form back on screen. The agent remembers everything, whichever way the customer talks and personalizes it. You will build on the frontier here, and decide what it should feel like.
- Make AI voice feel like a real conversation. Every call crosses carriers, telephony networks, and contact centers around the world before it reaches our agent. Making AI agents feel lively and real across global infrastructure is a critical problem to get right for end users.
- Give personal AI agents a safe way in. More people now have their own AI assistants. Today a company can either block them or hand them the user’s full account access. The Personal Agent Protocol https://personalagentprotocol.org/ is an open standard that offers a better option: a safe way for personal agents to work with a company and its Sierra agent. You’ll help build it.
- Build the agent experience inside the app. ChatKit is our library of native iOS, Android, and web components for talking to an agent. It covers voice controls, live waveforms, transcripts, and chat. Customers use it to build an agent experience inside a customer’s flagship app, not like a widget added on top. You decide what those components are and how they behave.
- Get every call to the right agent. You’ll build and own our global telephony stack: SIP, WebRTC, the Sierra Voice Protocol and our integrations with major contact-center platforms. That means millions of calls and messages, and every one of them reaching the right agent.
- Put Sierra on every channel. SMS, WhatsApp, RCS, email, LINE, Messenger and Instagram. You’ll build the tools that let developers launch a new channel on their own, delivering value in hours not weeks.
WHAT OWNERSHIP LOOKS LIKE
- A bias for shipping. You move fast, and you finish what you start.
- Curiosity about the hard parts. You go deep where other engineers avoid going: protocols, edge cases, and end to end multi-modal experiences.
- An AI-native way of building. You not only use AI tools every day, it is ingrained in the way you operate and think. You’ve deleted all old priors and re-invented the way you and your teams work from the ground up. Come ready to tell us about something you built that you couldn’t have built 6 months ago.
- An obsession with the details. When one call in ten thousand fails, you want to know why. You obsess about the product experience and pixels as much as you do latency and reliability.
- Strong backend fundamentals. You can also work comfortably across backend, infra, mobile and web.
- 3+ years building production software that real users depend on.
WHAT YOU'LL BRING
- A passion for being on the frontier of AI products.
- Pride in building reliable, maintainable, and secure systems that scale.
- Motivation and high-agency to drive outcomes in a high-autonomy culture.
- 4+ years hands-on experience building production systems.
- Degree in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- Experience building AI products for enterprise or consumers
- Experience building native SDKs for iOS (Swift) or Android (Kotlin)
- Experience building messaging apps, voice apps or voice agents
- Experience with SIP, WebRTC, Twilio or contact-center platforms
- Experience with real-time, low-latency distributed systems
None of these are required. If the problems above excite you, we’d love to hear from you.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
ГибридSingapore
ГибридSingapore
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Almaty, Kazakhstan; As we work with teams around the world, time-zone differences can make live screening challenging
seniorHyderabad, India; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
УдалённоheadSingapore; Experience working in a remote-first, globally distributed organization, with the ability to collaborate across time zones
УдалённоRemote (Canada); U.S. (Remote)
ГибридseniorГеография найма не уточнена
ОфисSan Francisco, CA
ОфисSan Francisco, CA
УдалённоseniorRemote, Singapore
УдалённоseniorRemote, Japan
УдалённоOfficial emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal
ГибридNew York City; US Remote
ГибридmiddleTokyo, Japan
УдалённоPrague; Limassol; Comfortable in a fully remote, async, multi-time-zone setup: self-directed, and a strong writer because writing is how decisions get made here