Location: ES - Barcelona, Spain; ES - Spain
Scopely is looking for an
Analytics Engineer, Finance
to join our
Finance team
in
Barcelona, Spain
, on a hybrid basis,
working 3 days a week from our hub.
At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.
Show us the money! As the Finance team, we’re number crunchers with top-notch analytical and reporting skills. As a shared service, we get to work with all of Scopely's talented studios.
In this role, you will help to improve the reliability, accuracy, and maintainability of Finance data workflows by developing and supporting automated pipelines, data transformations, and reporting models. Working closely with stakeholders and the Lead Analytics Engineer in Finance, this role contributes to reducing manual processes, strengthening data quality, and ensuring dependable financial information for monthly close, revenue reporting, and accounting activities.
What You Will Do:
Partner with Finance stakeholders to understand business requirements, financial processes, and controls, translating them into practical technical solutions with guidance from the Lead Analytics Engineer.
Develop, maintain, and troubleshoot data pipelines, SQL transformations, and reporting models supporting monthly close, revenue reporting, and accounting workflows.
Investigate missing, delayed, inconsistent, or incorrect financial data, identify root causes, and implement reliable solutions.
Help modernize legacy SQL, scheduled workflows, and manual processes into maintainable, documented, and dependency-aware pipelines using dbt.
Build and improve automated data-quality checks, reconciliations, monitoring, and alerting to strengthen the reliability of Finance data workflows.
Apply Git, code review, testing, and deployment practices to improve the quality and maintainability of Finance data assets.
Support the automation of recurring spreadsheet-based processes and manual handoffs, while maintaining technical documentation, dependency maps, runbooks, and recovery procedures.
Collaborate with the Lead Analytics Engineer to apply engineering standards and contribute to governed, reusable models within the Looker semantic and reporting layer.
What We're Looking For:
Strong SQL skills and experience developing and maintaining production data transformations.
Experience working with a modern cloud data warehouse such as BigQuery, Snowflake, or Redshift.
Experience with data transformation frameworks such as dbt, Dataform, or equivalent technologies.
Knowledge of Git, version control, code reviews, and collaborative software development practices.
Familiarity with data-quality checks, automated testing, monitoring, or reconciliation processes.
Strong debugging and problem-solving skills, including the ability to investigate issues in inherited or imperfectly documented systems.
Experience working with Finance, Accounting, Revenue Accounting, month-end close, or audit-related data.
Ability to communicate technical concepts clearly to non-technical stakeholders, collaborate with engineering colleagues, and independently progress defined technical problems while seeking guidance when appropriate.
Openness to learning and responsibly using AI-supported tools to improve SQL development, documentation, debugging, testing, and workflow efficiency, while maintaining appropriate data security and validation practices.
Bonus Points:
Familiarity with financial controls, reconciliation, general-ledger concepts, or revenue recognition.
Experience in gaming, digital products, app-store revenue, or virtual economies.
Experience with data lineage, CI/CD, observability, or data governance practices.
Experience working with GCP, Airflow, Cloud Composer, or Looker.
Experience modernizing legacy SQL pipelines or stored-procedure-heavy environments.
Familiarity with orchestration tools for scheduling, dependency management, monitoring, and recovery.
Experience supporting business-critical workflows with defined service-level agreements (SLAs).
Working knowledge of Python or another programming language used for automation and data workflows.
Experience using or integrating agentic workflows in Finance processes.
Please ensure that the résumé/CV you attach is written in English.
At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employment opportunities and welcome individuals from all backgrounds to join us & embrace the adventure!
About Scopely
Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play.
Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit:
https://www.scopely.com/
.
Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official
website
and verify that all Talent Partner communications come from an email address ending in @
scopely.com
.
Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here:
California Privacy Notice
and
EEA/UK Privacy Notice
.
Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.
Location: South Korea; Mapbox Japan
Workplace: Remote
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.
Mapbox 은 미래를 바꾸는 동료를 찾고 있습니다.
지도·모빌리티·위치 테크놀로지에 두근두근하는 분, 꼭 봐 주세요!
솔루션 아키텍트로서 글로벌 OEM에서 국내 스타트 업까지
폭넓은 고객과 함께 차세대 이동 체험을 디자인해 나가는 포지션입니다.
WHAT YOU'LL DO
Solutions Architects are trusted technical and business advisors who partner with customers to design, prototype, and deliver solutions on the Mapbox platform. You will work directly with customers and account teams to discover needs, design architectures, and deliver solutions that turn data, mobility, and mapping into effective digital experiences and measurable business outcomes. This role is ideal for someone who combines technical depth with commercial acumen and thrives at the intersection of strategy, architecture, and delivery. Successful candidates typically have a mix of software engineering, product management, solutions engineering, and technical consulting experience prior to this role.
Core responsibilities
- Partner with Sales to position Mapbox’s technical value and shape opportunities.
- Lead technical discovery to understand customer goals, requirements, and success criteria, and ensure solution designs meet business objectives.
- Design and present scalable architectures using Mapbox SDKs, APIs, and platform services.
- Respond to technical customer requests (RFI/RFQ) with clear technical documentation and solution proposals.
- Provide technical guidance during the pre-sales cycle and deliver rapid technical enablement via workshops, demos, and PoC/PoV in a fast-paced digital customer environment.
- Drive customer success by accelerating time-to-value and supporting adoption and expansion in a dynamic, complex ecosystem.
- Advocate for customer needs and provide structured feedback to influence product and engineering direction.
- Stay current on mapping, mobility, and AI technologies and share best practices internally and with customers.
WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE
- 5+ years in solutions architecture, customer-facing engineering (pre-sales, post-sales), or consulting.
- Fluent in Korean and English (both written and verbal communication)
- Location: Must reside in Japan or South Korea
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (preferred).
- Knowledge of web and mobile technologies (JavaScript, Android, iOS).
- Experience building applications that integrate back-end APIs and front-end SDKs.
- Experience of GIS, location intelligence, geospatial data, and mapping is a plus.
- Experience with major cloud platforms (AWS, Azure, or GCP) is a plus.
- Experience with AI technologies is a plus.
- Experience leading technical responses for RFI/RFQ, crafting comprehensive technical proposals.
- Strong business acumen and comfort working autonomously across distributed teams.
- Demonstrated ability to translate complex requirements into scalable, robust architectures aligned with customer objectives.
- Excellent communication skills with both technical and executive audiences, combined with a proven ability to influence executive, product, engineering, and developer stakeholders.
- Experience collaborating with OEMs and Tier-1 suppliers.
- Understanding of the Automotive industry and its ecosystem technologies such as navigation, autonomous driving, ADAS, ISA, and software-defined vehicles.
- Willingness to travel up to 25% for customer meetings, workshops, and industry events
- Please submit your resume and application in English.
WHAT WE VALUE
In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders:
- We value high-performing creative individuals who dig into problems and opportunities.
- We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.
By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Location: United Kingdom
Workplace: Remote
BUILD, SCALE & OPERATE LEADING DTC BRANDS ALONGSIDE A-PLAYERS
MANEUVER MARKETING
Our Vision, Mission & Success are fuelled by our commitment to be a driving force of positive change to the health of everyday consumers, providing conscious, high-quality & innovative supplement products.
In just 5 years, we kicked off our own DTC Health & Wellness brand from scratch and scaled it to USD$100M+ in annual sales, serving more than 3,000,000 customers worldwide with an average of 4,000 daily orders across 9 SKUs.
These results caught the attention of The Financial Times https://www.ft.com/high-growth-asia-pacific-ranking-2023, as they ranked us among APACs top High-Growth Companies. We have also been awarded 2nd place on the E50 Awards https://www.sph.com.sg/media-centre/media-releases/fifty-local-smes-honoured-for-pioneering-success-and-innovation-at-30th-e50-awards/, jointly organised by The Business Times and KPMG in Singapore.
This is just the beginning of our journey, and you could be part of the next stage of our growth!
YOUR NEXT ROLE
We are looking for a highly skilled and ambitious Growth Strategist with at least 3 years of experience, managing at least $1M per month in ad spend to join our team. Today, the role of a Senior Media Buyer has evolved into a Growth Strategist - it’s no longer enough to work inside ad accounts - effective marketing requires critical thinking, conducting deep research, translating insights into ideas, and taking those ideas through implementation. Of course, you cannot do this alone.
As a Growth Strategist at Maneuver, you will lead a product marketing team comprising a copywriter, creative strategist, designer, and media buyer to grow 2 flagship products. You’ll meet with fellow Growth Strategists to exchange ideas and best practices regularly. The product marketing team is supported by cross-functional teams: (a) Influencer & Partnerships, (b) Videos, (c) Marketplaces, (d) Measurement, (e) Retention, (f) Other Channels (e.g. AppLovin, Google), and (g) Tech - all of which are essential to grow a product to $100M+ a year profitably.
As such, the best candidates have a track record of building something from scratch and demonstrate strong resourcefulness to overcome challenges and explore uncharted territory.
WHAT YOU’LL DO
STRATEGIC GROWTH PLANNING & OPPORTUNITY DISCOVERY
You’ll own the development and iteration of Meta-led growth strategies grounded in first principles, real-world data, and deep DTC competitive intelligence.
- Identify bottlenecks and opportunities through structured root-cause analysis across creative, media, offer, funnel, and product positioning.
- Systematically uncover under-tapped or untapped opportunities by reverse-engineering winning DTC products and offers across Google Search, Amazon, Shopify, Meta, YouTube, and adjacent channels.
- Analyze why products sell well (positioning, mechanism, claims, pricing, bundles, merchandising, distribution) and map those learnings to Maneuver’s products to unlock new markets, angles, and growth paths.
- Prioritize high-leverage initiatives that balance short-term profitability with long-term strategic breakthroughs (new positioning, new audiences, new use cases).
- Act with urgency to gather new signals, test hypotheses, and adapt strategy in-market.
- Ruthlessly focus team energy on the highest-ROI initiatives that move core business metrics.
DEEP MARKET & CUSTOMER RESEARCH
You’ll lead a continuous discovery process that directly informs positioning, creative direction, funnel strategy, and media execution.
- Conduct social listening across Facebook Groups, Reddit, TikTok, Pinterest, reviews, and UGC ecosystems to surface pains, unmet needs, objections, and language patterns.
- Dive into product‑level inputs (clinical studies, ingredient claims, AOV/LTV trends, customer reviews, refunds, CX tickets) to sharpen value propositions and positioning.
- Run deep competitive audits using tools such as Meta Ad Library, Atria, Transparency Center, VidTao, Google Search, and Amazon to identify messaging gaps, offer structures, and creative patterns.
- Triangulate qualitative and quantitative insights into clear strategic actions that unlock growth.
MEDIA STRATEGY
Design and manage high-performance Meta ad systems that balance testing discipline with scalable performance.
- Architect account structures, naming conventions, and testing frameworks for clean data capture and fast learning.
- Execute and evolve bid strategies (Cost Cap, minROAS, Bid Cap, Highest Volume, Accelerated Bid Cap) based on signal quality, scale phase, and business context.
- Build creative testing matrices and scale frameworks (ABO/CBO/ASC setups, budget ramps, funnel staging, whitelisting).
- Ensure delivery systems and media execution align tightly with strategic hypotheses and growth objectives.
CREATIVE STRATEGY & MESSAGING ARCHITECTURE
You’ll provide a bird’s eye view of the creative and messaging ecosystem, ensuring alignment across teams and funnel stages.
- Co-own the high‑level creative roadmap across TOF / MOF / BOF / Buyer stages with the copywriter and creative strategist
- Map current messaging by awareness level and sophistication, identifying gaps, redundancies, and misalignment.
- Assess whether ads, offers, and funnels are congruent with the intended messaging strategy at each stage.
- Co‑own messaging architecture with the copywriter and creative strategist, helping segment and prioritize messaging buckets such as, but not limited to:
- Authority / expert‑led
- Founder / brand story
- Mechanism‑led education
- Objection handling
- Social proof & validation
- Use in‑market performance signals to continuously refine angles and creative direction.
FUNNEL STRATEGY, CRO & PROJECT OWNERSHIP
You’ll own funnel strategy, CRO direction, and end‑to‑end project execution.
- Identify funnel bottlenecks and CRO opportunities in partnership with media buyers, creative strategists, and copywriters.
- Define what should change and why (structure, messaging emphasis, flow, offer presentation), and translate that into clear briefs for copywriters and designers.
- Collaborate with tech team members to implement changes once copy and mock‑ups are finalized.
- Own projects end‑to‑end: scoping, prioritization, implementation, QA, launch, and post‑launch monitoring.
- Ensure tight feedback loops post‑launch, with media buyers monitoring test performance and providing analysis to inform next iterations.
COLLABORATION
You’ll act as the connective tissue between strategy, media, creative, CRO, and cross‑functional partners.
- Provide high‑signal strategic and CRO briefs aligned on performance goals and compliance considerations.
- Partner closely with creative strategists, copywriters, and designers to ensure creative execution reinforces strategy.
- Collaborate tightly with media buyers on test design, optimization feedback, and learning agendas.
- Bring awareness to upstream partners (tech, supply chain, CX, retention) early to de‑risk initiatives and accelerate execution.
- Build a high‑ownership culture with clear rituals, accountability, and feedback systems.
DATA FLUENCY & PERFORMANCE OPTIMIZATION
You’ll turn data into decisions and ensure learning compounds over time.
- Design and interpret measurement frameworks (incrementality tests, attribution rules, holdouts) to guide investment decisions.
- Read metric pairs (CTR vs CVR, ROAS vs MER, AOV vs CAC) to isolate constraints and form clear hypotheses.
- Run regular performance cadences, documenting learnings and driving decisive pivots based on thresholds.
- Think in numbers—tracking CAC, ROAS, AOV, LTV, and confidently making ROI‑based calls in real time.
HOW YOU’LL SUCCEED
Maneuver is an OKRs, KPIs & data-driven company, we are not Mad Men (Well, not all), but Math Men. As a result, a number of metrics will constitute the basis of your performance and success within this role and the company:
- New customer sales and revenue, measuring Meta’s impact across all distribution channels
- Advertising efficiency in terms of return on ad spend
- New marketing capabilities built with significant positive ROI
WHAT YOU BRING
- At least 3 to 7 years of relevant experience working with DTC brands as a media buyer / Growth Strategist.
- Strong “builder” desire - we built our brand to 9 figures in revenue profitably with ~30 full-time employees and this would not have happened without a strong work ethic and a mission-driven culture. We aim to build the brand to 10 figures by the end of the decade, and this requires a strong sense of commitment to build something together with like-minded people.
- Strong analytical skills - ability to work with data, analyze metrics as a system, and understand the right marketing levers to improve results and performance.
- Persuasion skills - Some experience in direct response copywriting and persuasion principles - including but not limited to Robert Cialdini, Dan Kennedy, Eugene Schwartz, Gary Halbert, etc.
- Strong media buying skills - experience managing at least $30-100K a day in ad budget profitably with deep performance marketing skillsets.
- Strong project management skills - ability to identify outcomes, develop plans, and implement initiatives to achieve the outcomes, while iterating along the way with real-time data and feedback to improve the plan and execution. The ability to stay on top of multiple initiatives at one time, without sacrificing quality, is valuable
- Strong project coordination skills - ability to work with multiple partners, both inside and outside of the organization, while keeping projects running smoothly and according to timelines
- Other important soft skills - resourcefulness, organization, independent, problem-solver
- Other important hard skills - interest in creative performance and testing, persuasion, and general marketing skills
WORK ARRANGEMENT
- This is a full-time position with a remote work arrangement
- We work Monday to Friday, 10am to 7pm SGT (GMT+8) and you will be required to coordinate with the team for at least 3 overlap hours a day in the SGT timezone
- Preferably time zones are between GMT and GMT+2.
Location: Warsaw
Workplace: Hybrid
Role highlights:
• Senior C++ Engineer – Satellite Real-Time Control Systems
• Location: Warsaw, Poland
• Department: Engineering
• Reports to: Engineering Lead, AOCS Software
• Employment type: Permanent
• Workplace model: Hybrid
• Employment is subject to applicable security screening (incl. SUPO, where required)
Why this role matters:
As a Senior C++ Engineer – Satellite Real-Time Control Systems, you’ll develop and operate real-time embedded software that powers ICEYE’s growing SAR satellite constellation. Every radar image, collision-avoidance manoeuvre, and customer mission relies on deterministic, high-performance software deployed continuously to satellites operating in unforgiving orbital dynamics.
Your work will directly enable first responders to map floods, insurers to assess damage, and scientists to measure a changing planet. In this role, microseconds matter and every line of code has a direct, global impact from space.
Who We Are
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE’s world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world’s largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy, day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE’s near real-time data creates a tactical advantage for mission-critical operations. Designed for dual use, the platform also serves civil protection and commercial users for natural-catastrophe intelligence, insurance, maritime monitoring including oil-spill detection, and finance, contributing to global security and community resilience.
ICEYE is headquartered in Finland and operates globally across Europe, North America, the Middle East, and Asia-Pacific. We have more than 900 employees, united by a shared vision: improving life on Earth by becoming the global source of truth in Earth Observation.
Your day-to-day responsibilities
• Write and optimize modern C++ code that meets strict determinism and latency budgets for safe and precise on-orbit execution
• Build and own the software layer that bridges sensors, actuators, and control algorithms including deterministic loops, telemetry pipelines, and on-orbit autonomy
• Drive quality across the full development lifecycle from requirements and design to HIL and MIL testing, launch, and on-orbit support
• Collaborate with GNC, electronics, ground segment, and mission operations engineers to debug, iterate, and improve system performance
• Lead architecture evolution as the fleet and use cases grow by refactoring, optimizing, and introducing new technologies where they add value
• Investigate anomalies by deep-diving into flight telemetry, reproducing issues on the ground, and rolling out fixes that keep the constellation healthy
What we’re looking for
Must haves:
• Strong experience writing modern C++ with a clear understanding of production-quality code
• Proven track record of delivering real-time control software for autonomous or safety-critical systems such as satellites, drones, robotics, or automotive systems
• Solid understanding of hard real-time constraints, latency budgeting, and deterministic behaviour
• Experience interfacing with sensors and actuators in embedded Linux environments
• Strong engineering practices including rigorous testing, CI/CD, and clear documentation
• Ownership mindset across the full software lifecycle from concept to on-orbit maintenance
• Clear communicator who collaborates effectively across multidisciplinary teams
Nice to haves:
• Experience with hardware-in-the-loop and model-in-the-loop testing
• Experience supporting software in operational or mission-critical environments
• Familiarity with satellite GNC or space systems
Application Process
• Talent Attraction screening
• Hiring Manager interview
• Task and Technical interview
• On-site technical workshop
• On-site behavioural interview
Working at ICEYE
At ICEYE, you’ll join a diverse and highly engaged team united by the ambition to make the impossible possible. As a global scale-up, we combine speed and ambition with the opportunity to take real ownership from day one. Your growth, wellbeing, and success are a priority, with continuous professional development, training opportunities, and a culture where collaboration is how we win.
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.
• Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the why behind decisions.
• See the big picture: Stay close to what’s happening across the company so you can make better decisions. Consider how your work affects others.
• Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.
• Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.
• Have fun: What we do matters and it should be enjoyable. Celebrate progress, take pride in results, and share the wins.
Benefits
Our benefits are designed to support your health and wellbeing, at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our Commitment to Diversity, Equity, and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We’re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us and we will do our best to help.
Apply now to start your ICEYE journey and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com http://iceye.com.
Location: Japan; Remote; Singapore
About the role
We are seeking a hands-on Security Engineer who thrives in a startup environment.
You'll work alongside product owners and engineers with the objective to secure the products in Startale's ecosystem. Products include a next-generation decentralized exchange with a fully on-chain order book (Strium), a user-facing application (StartaleApp) and a stablecoin (USDSC). This is a
hands-on, technical role
. You'll be the person who actively tests our systems, hunts for vulnerabilities, models threats against our products, and works with engineers to close the gaps — not the person who writes policies and generates reports. You'll report to the Security Lead and collaborate daily with Backend, Frontend, DevOps, and Blockchain engineering teams.
Why this role
Startale's products handle user funds and on-chain transactions so security work has tangible impact.
Owning the security posture of a project at scale and complexity such as Strium is an opportunity for professional growth.
You will have direct influence over how product security is built across the organization.
Focus is on driving product security and not on maintaining compliance documentation.
Our team is backed by and partnering with leading Japanese enterprises so you will have a chance to work in a stable and well-funded company but with the autonomy and speed of a small team.
Key responsibilities
Security Assessments & Penetration Testing
: Conduct hands-on security testing of our applications, APIs, and infrastructure. Simulate real attack scenarios against our products. Find the vulnerabilities before external attackers or whitehat researchers do. Work with engineers to fix issues pragmatically.
Threat Modeling
: Build threat models for new services and features — especially Strium's trading engine, order book, and transaction flows. Identify attack surfaces, model adversary behavior, and define what needs to be hardened before launch.
Vulnerability Triage & Remediation
: Own the end-to-end lifecycle of findings — from discovery through severity assessment, developer-facing write-ups, remediation guidance, and verification of fixes. Coordinate with engineers so issues actually get closed.
Vulnerability Disclosure & Bug Bounty
: Manage incoming whitehat reports, validate findings by reproducing them, assess severity, communicate with researchers.
AI Tools Security Support
: Assess technical risks related to AI tools used within teams (such as data exfiltration, prompt injection, training-on-input), maintain security baselines for AI coding tools and review AI-powered internal tools.
Qualifications
Must-have
5+ years of hands-on experience with a focus on application security, penetration testing, or product security.
Demonstrated ability to find vulnerabilities — through manual testing, architecture and/or code review, or creative attack simulation. You should be able to describe specific bugs you've found and how you found them.
Practical experience with
exchange or trading platform security
— from a DEX (preferred) or DeFi protocol. You should understand order book mechanics, transaction flows, wallet security, and the threat landscape specific to trading infrastructure.
Scripting and automation ability — you write tools and automate to scale security across the stack, not just audit and write reports.
Experience triaging vulnerabilities and writing clear, actionable remediation guidance for developers.
Strong written communication in English — you'll write tickets, assessment reports and researcher responses.
Strong plus
Experience with cloud infrastructure security — least-privilege enforcement, network security, secrets management.
Experience with container security — network policies, RBAC, pod security standards, image scanning, Dockerfile hardening, base image management.
Ability to read and review code in at least one of: TypeScript/JavaScript, Solidity, Rust.
Understanding of software supply chain security, including dependency risks, build integrity, and methods for tracking what components are included in shipped software.
Experience managing or participating in a bug bounty program (e.g. Immunefi, HackerOne).
Domain plus
Experience securing
AI/LLM tooling
in engineering teams — prompt injection risks, data leakage prevention, tool configuration hardening
Japanese language ability (not required, but useful for company context)
Location / Timezone
Strong preference for Tokyo-based or Singapore-based candidates - Startale office locations.
Remote-friendly for exceptional candidates — must have 3+ hours overlap with Tokyo business hours (JST, UTC+9).
Target start date
As soon as available; realistic target start of Q3 2026.
Target companies
Decentralized exchanges, DeFi protocols, blockchain security firms, L1/L2 chain security teams, or fintech companies with trading infrastructure. We're also open to strong AppSec engineers from cloud-native startups who have genuine interest in web3.
Ideal candidate
You're a hands-on security engineer who finds real vulnerabilities, not just runs scanners. You've secured a trading platform or exchange and understand the threats specific to financial infrastructure — order book manipulation, transaction signing, wallet compromise, front-running. You can take a system, map the attack surface, and come back with findings that matter. You write clear reports that engineers act on, and you know the difference between a theoretical risk and a real one. You're comfortable working independently in a fast-moving team where there's no playbook — you write the playbook.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role:
We're hiring several Product Operations Managers to embed within our core product teams. Each will contribute to a key component of our stack. Whether you are ensuring models work within each of our harnesses, prioritizing a great experience across cloud offerings, or building the application layer that keeps users on the frontier, the Product Operations team is an integral part of delivering great products to the world.
Product Operations is the connective tissue between Research, Product, and the market. We shorten the distance between what our models can do and what people get to use. Each of us sits inside one product team as an extension of its leadership, and together we run one shared operating system for how Anthropic ships and learns.
On a given day you might get a launch through its final review, run an early access window, or triaging customer feedback. The rest of the week you build the systems so the team ships and learns faster next time. Our team is small and gets unusual leverage from Claude enabling us to fill gaps across the company and deliver outsized value.
Responsibilities:
1. Ship with confidence
Own launch readiness for your team. Keep our launch calendar the source of truth for what is shipping and when.
Get every major launch through go/no-go: pre-read written, Security, Safeguards, Legal, and Commercial sign-offs recorded, and any accepted risk written down on purpose.
Run early access and beta programs that return signal Product and Research can act on. Define the question before the window opens, give testers the scaffolding to answer it, and close each one with a retro on whether the feedback landed.
Program manage new model launches on your surface: readiness goals set in advance, testing and eval coverage tracked, issues triaged, prompting changes landed, retro run. You won't write the evals. You run the program around them.
2. Close the loop with users
Turn a lot of noise into two clear signals: what users are asking for, ranked by impact and mapped to the roadmap, and which customers or cohorts are blocked, on what, and why it matters.
Plug your team into Anthropic's shared feedback systems rather than building a private one, and improve the shared systems where they fall short.
Make sure the field, Support, and Research hear back about what happened with what they sent.
3. Run the team's operating system
Set the team's pace: planning, business and execution reviews, goal tracking, offsites.
Own how your team works with Legal, Safeguards, Security, GTM, and other product teams so partnering with your team is predictable.
Push reporting overhead toward zero. Reviews and digests should be generated from data that already exists.
Fill the gaps. Every embedded seat carries one or two projects unique to its team, for example managing Monthly Business Reviews and helping track progress between cycles.
4. Build with Claude
Build the tools you need yourself: Claude-powered triage, dashboards that read and write to our systems of record, skills and agents that take the chasing out of the job.
Contribute what you build back to the ProdOps team as reusable patterns (launch checklists, EAP setup, lookbacks, deprecations) so nobody starts from scratch.
You may be a good fit if you have:
Have owned an operational program end to end (launches, early access, feedback, or planning) that a product team relied on to make decisions. You designed it and ran it, not just executed someone else's plan.
Have built a process from zero to one and then simplified it as it scaled. You treat process as a product: it has users, metrics, and a happy path people want to follow.
Have worked embedded with product leadership and can move a team without formal authority.
Build with AI yourself. You have shipped Claude or other LLM-powered workflows, written the prompts, iterated on the outputs, and can describe model behavior with specifics.
Have direct experience managing evals, refining system prompts, and adapting harnesses to new models.
Have direct experience working with Cloud providers in partnership or GTM capacity
Have commitment to safe deployment of AI. Bonus if experience with AI Safety and Safeguards.
Bonus:
Program managed model launches or model quality at an application-layer AI product.
Run early access, beta, or design partner programs.
Product management, technical program management, chief of staff, or strategy and operations experience at a startup or fast-growing product company.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$260,000
—
$325,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: New York City, NY; San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic’s GSI team partners with the world’s largest Global System Integrators and strategy consultancies to deploy frontier AI into the core of how they deliver client work and run their own businesses. These are complex, partner-led organizations where the first engagement is rarely the full opportunity, and where lasting partnerships are built across practice areas and at the executive level.
As an Strategic Account Executive on the GSI team, you’ll own a named book of accounts and the full revenue outcome for each. You’ll develop a point of view on where Claude creates the most value across a firm’s practice areas, advisory services, delivery teams, and internal operations, build relationships with the partners and executives who sponsor transformation at that scale, and expand the partnership well beyond the original buyer. These firms are both customer and future channel — your sell-to motion sets up the sell-with later. You’ll work closely with Product, Applied AI, GTM, and Partnerships leadership to shape how Anthropic shows up across the GSI landscape, while advancing our mission of developing AI that is safe, beneficial, and deployed responsibly.
This is a role for someone who has owned large, complex partner-led accounts end to end and is comfortable operating independently at the executive level.
Responsibilities
Own all revenue outcomes for a named book of GSI accounts, driving both new logo acquisition and multi-practice expansion through complex, multi-quarter sales cycles involving partner-led approval, global procurement, and custom commercial terms
Develop a clear thesis for each priority firm — where Claude creates value across knowledge management, advisory workflows, deliverable generation, and client engagements — and execute a sequenced engagement plan across practices, regions, and stakeholders
Build and independently advance executive relationships with Managing Partners, Practice Leads, MDs, CIOs, CTOs, and Heads of AI/Digital, anchoring every conversation to their strategic priorities: utilization, leverage, realization, and billable productivity
Proactively create demand in unengaged practice areas and regions, using early wins as proof points to open new doors across decentralized, partner-led organizations
Build quantified, firm-specific business cases mapped to the GSI operating model — using their own language and metrics — that shape deals rather than justify them after the fact
Identify and close lighthouse partnerships that become references across the GSI landscape and set up the future sell-with motion
Partner cross-functionally with Product, Applied AI, Engineering, and Partnerships to inform the roadmap based on GSI buyer needs, and contribute to the playbook, proof points, and commercial structures that become the repeatable GSI motion
You may be a good fit if you have
8+ years of enterprise software sales experience with a track record of owning named accounts at large, complex, partner-led organizations (global SIs, strategy consultancies), managing multi-quarter sales cycles through technical evaluations, partner-led approval, and global procurement
Demonstrated ability to independently build and advance relationships at the Partner, MD, and C-suite level — including practice leadership and innovation/digital executives — and hold credible conversations across both technical and business audience
Experience building firm-specific business cases grounded in the firm's own operating metrics (utilization, leverage, realization, margin) and defending commercial terms through complex negotiations
Background selling platform, API, cloud infrastructure, or emerging technology into enterprises evaluating a new category
Genuine interest in AI and strong alignment with Anthropic's mission of responsible AI development
A history of growing accounts meaningfully beyond the original engagement by proactively creating demand across new practice areas, regions, and use cases
What will make you stand out
Direct experience selling into Global SI’s or strategy consultancies, and fluency in how partner-led firms operate and measure success
Experience as an early AE in a vertical or segment, where you helped build the sales motion rather than inherit it
Background selling developer platforms, cloud infrastructure, or AI/ML tooling into traditional partner-led services firms
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$380,000
—
$450,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
For roles performing work in California:
We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Switzerland
Workplace: Remote
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
- Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
- Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding.
- High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
- Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
- Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
- Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
- Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
- Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.
Who Thrives Here
- You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations.
- You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem.
- You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
Location & Employment
- Location: remote within Switzerland
- Employment type: Full-time, permanent employment
- Hiring model: Employment via Employer of Record (EOR)
Candidates must already have the legal right to work in Switzerland, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: UK
Workplace: Remote
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
- Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
- Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding.
- High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
- Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
- Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
- Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
- Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
Who Thrives Here
- You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations.
- You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem.
- You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future.
Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Serbia
Workplace: Remote
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
- Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
- Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding.
- High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
- Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
- Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
- Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
- Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
- Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.
Who Thrives Here
- You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations.
- You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem.
- You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Germany
Workplace: Remote
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
- Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
- Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding.
- High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
- Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
- Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
- Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
- Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
- Professional fluency in English (written and spoken) is required, as you will be collaborating daily with our US-based leadership and engineering teams.
Who Thrives Here
- You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations.
- You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem.
- You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Mountain View, California, USA
Workplace: Hybrid
About Inworld
Inworld is a research lab and inference provider focused on realtime AI for consumer-facing applications. We build first-party speech models, serve LLMs, and run the inference behind modular APIs designed for high-volume, realtime workloads.
Hundreds of millions of users interact with Inworld powered apps every day and we serve over 10 trillion LLM tokens per month. Our models and infrastructure support consumer applications across companions, healthcare, fitness, education, media, and more. Our work spans model research, realtime inference, large-scale serving infrastructure, and the APIs developers use to bring these capabilities into production.
We’ve raised more than $125M from Lightspeed Venture Partners, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta, Stanford, and others. Our technology has powered experiences from companies including NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella, and Bible Chat. Inworld has also been recognized by CB Insights as one of the 100 most promising AI companies globally and named one of LinkedIn’s Top 10 Startups in the USA.
Who We're Looking For
A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood.
Experience We Find Useful
You don't need all of this. But you need enough to make a case.
- Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM.
- Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding.
- High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs.
- Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections.
- Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups.
- Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production.
- Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems.
Who Thrives Here
- You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go.
- You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations.
- You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem.
- You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make.
What Working Here Is Like
We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater.
We believe in the power of in-person collaboration to solve the hardest problems and foster a strong team culture. We offer relocation assistance and look forward to you joining us in our Mountain View office.
The base salary range for this full-time position is $270,000 - $430,000+ bonus + equity + benefits.
Inworld Jobs Privacy https://inworld.ai/jobs-privacy
Location: Distributed
About Us
At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company.
At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in.
Available Location:
Calgary, Alberta
What you will do as a Customer Engineer
The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey.
Key Responsibilities
Technical Validation:
Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals.
Customer Adoption & Value Realization:
Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices. Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk.
Commercial Accountability & Expansion:
Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives.
Trusted Advisory:
Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes.
AI Orchestration & Workflow Automation:
Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory.
Education & Enablement:
Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization.
Minimum Qualifications
Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services, Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling).
Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly.
Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives.
Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles.
Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy.
Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below:
Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS.
Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts.
Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3.
AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows.
Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions.
Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments.
Strongly Preferred Qualifications (The "Good-to-Haves")
Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms.
Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls.
Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2.
Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth.
Education
Undergraduate or graduate degree in Computer Science, Engineering, or a related field.
Travel
This role will require travel up to 20–50% to attend customer meetings, conferences, industry events, and other in-person team meetings, within the assigned territory. For this reason, candidates must have reliable personal or local public transportation to complete all required travel. Required travel is reimbursable in accordance with the Company's Travel & Expense Policy, as it may be amended from time to time.
Compensation
This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion.
What Makes Cloudflare Special?
We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.
Project Galileo
: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.
Athenian Project
: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.
1.1.1.1
: We released
1.1.1.1
to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our
privacy commitment
and ensure that no user data is sold to advertisers or used to target consumers.
Sound like something you’d like to be a part of? We’d love to hear from you!
Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs. More details about this will be available at that stage of the interview process.
This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license.
Cloudflare is proud to be an equal opportunity employer. We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness. All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual
race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law.
We are an AA/Veterans/Disabled Employer.
Cloudflare provides reasonable accommodations to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at
hr@cloudflare.com
or via mail at 101 Townsend St. San Francisco, CA 94107.
Location: New York, NY; San Francisco, CA
Flex is a growth-stage, NYC headquartered FinTech company that is building the payment layer for life's financial obligations, giving households one place to see, split, and pay their bills around how they live and get paid. By offering greater choice over how and when payments are made and allowing eligible on time payments to help build a positive credit history, Flex puts households back in control of their cash flow.
That work brings together people with different perspectives who challenge the status quo and take ownership of solving difficult problems. For you, that means doing the best work of your career next to people who make you better, and together bringing ideas to life that make a real impact for the people we serve.
About the Role
We’re hiring a Vice President, Business Development & Strategic Partnerships to source, close and launch high impact strategic partnerships for the company. The ideal candidate is a world‑class hunter with a track-record of closing game‑changing deals and turning them into material P&L impact. You will own the full deal cycle—from strategy and sourcing through pitch, negotiation, and close—with a focus on embedding Flex’s suite of offerings into platforms across the proptech ecosystem, unlocking significant revenue and customer acquisition for the business. This is an externally-facing leadership position for someone who thrives in consultative, complex sales environments, loves to build from scratch, and excels at working across executive stakeholders to craft and close bold, high-leverage deals. Reporting into the SVP of Business Development & Strategic Partnerships, you will work closely with leadership and teams across the company to shape and deliver on Flex’s most important commercial growth initiatives.
What You’ll Do
Hunt, close, and scale net-new strategic partnerships that drive revenue, distribution, and/or product expansion
Own the full partner sales cycle: prospecting, outreach, qualification, value mapping, business case development, financial modeling, contract negotiation, and go-to-market execution. Engage executive stakeholders at prospective partners to build conviction and navigate multi-party, high-stakes deals
Develop custom value propositions and proposals based on deep understanding of the partner’s business, pain points, and priorities
Lead commercial negotiations involving bespoke, complex economic structures that align incentives and scale with growth
Collaborate cross-functionally with Product, Engineering, Legal, Marketing, and Finance to design high-impact integrations and go-to-market motions
Build repeatable playbooks for evaluating new partner categories, selling into them, and scaling early wins
Report on pipeline health, forecasts, and strategic priorities with clarity and rigor at the executive level.
Key Qualifications
You’re a seasoned and tenacious business development leader with 10-12+ years of experience in strategic partnerships, business development, enterprise sales, or corporate development—ideally in fintech, SaaS, or platform technology companies
You’ve successfully closed complex, multi-stakeholder deals for integrated SaaS or FinTech solutions with high revenue and strategic impact (e.g., >$20M revenue contribution)
You’re a natural consultative relationship builder trusted by executive stakeholders — able to listen, problem-solve, and shape shared strategy
You combine commercial creativity with financial rigor, able to build robust economic models that guide decision-making
You thrive in ambiguous, high-velocity environments and know how to move from concept to contract quickly and with precision
You’re hands-on and self-directed—equally strong at high-level strategy and ground-level execution.
You’re deeply curious about financial technology and the systems that power money movement, payments, and embedded finance.
You’re an excellent communicator and storyteller, capable of articulating nuanced ideas with clarity and purpose.
You’re fanatical about pipeline hygiene and sales execution rigor—fluent in CRM discipline and sales forecasting best practices, and deeply accountable to yourself and others on execution & follow-through
Flex takes a market-based approach to pay, ensuring compensation is commensurate with a candidate's experience and our internal leveling guidelines. For candidates located in our Tier 1 markets (NYC/ SF), the on-target earning (OTE) pay range for this role is $336,000 - $420,000 USD.
For all other U.S. locations, Flex utilizes a geographic pay differential based on a cost of labor index. If you are located outside of the Tier 1 states listed above, your starting pay will be adjusted to align with the market conditions of your specific geographic zone. Please speak with your recruiter for additional information regarding the specific range for your location.
Life at Flex
Building a successful company takes a diverse team of intelligent, curious, determined, empathetic, and self-aware people. Our headquarters is in New York City, with employees across the US, Australia, Canada, and South America. We’re growing quickly and deliberately, with a focus on building an inclusive culture. We value the perspectives our people bring and take pride in being an equal opportunity workplace.
Offices
Roles posted in New York, San Francisco, and Salt Lake City are hybrid positions with on-site expectations of 2-3 days per week in our local offices. For candidates outside of these areas, you may be eligible for our relocation assistance program.
Benefits
View our benefits and more at
getflex.com/careers
.
Location: Remote in the United States
Workplace: Remote
At Sanity.io http://Sanity.io, we’re building the future of AI-powered Content Operations. Our AI Content Operating System gives teams the freedom to model, create, and automate content the way their business works, accelerating digital development and supercharging content operations efficiency. Companies like SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew are using Sanity to power and automate their content operations.
In this Enterprise Account Executive role, you will play a critical role in driving revenue by identifying, nurturing, and closing new business opportunities. You’ll partner with cross-functional teams and help customers realize the full potential of structured content to meet their digital needs.
WHAT YOU WOULD DO:
- Qualify incoming opportunities from SDR and Marketing teams.
- Through discovery, identify the business value that Sanity can add for potential clients.
- Effectively pitch the value Sanity brings to an organization.
- Price and negotiate enterprise deals.
- Identify and close net new enterprise logos (this is a hunting role)
- Account map and generate as much interest in Sanity as possible within an organization.
- Work with organizations to finalize contracts and procure Sanity
- Collect and effectively communicate feedback from clients and potential clients.
- Track all activity and information about an account (SFDC, decks, Google Docs, deal review docs, etc.).
- Forecast bookings accurately on a monthly and quarterly basis.
ABOUT YOU:
- Based in the United States.
- Curiosity, a growth mindset, and high integrity.
- Experience in a closing role at a SaaS company, ideally selling a complex technical product to a technical audience in our ACV range.
- Excellent written and verbal communication skills and the ability to communicate with various stakeholders, from developers to marketers to executives of large enterprises.
- We don’t expect you to have experience with the CMS market, but we believe it is important to be able to quickly learn about new products, how they are used, and how they create value for users.
- Ability to thrive in a constantly changing and evolving work environment.
Not sure you’re exactly what we’re looking for in this role? Apply anyway!
WHAT WE CAN OFFER:
- A highly-skilled, inspiring, and supportive team
- Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth
- A global, multi-culturally diverse group of colleagues and customers
- Comprehensive health plans and perks
- A healthy work-life balance that accommodates individual and family needs
- Competitive salary and stock options program
WHO WE ARE:
Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business.
Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years.
You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values
Sanity.io http://Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.
#LI-CR1
Location: Riyadh, Saudi Arabia
Müller's Solutions is seeking a dedicated Data Quality Specialist for a part-time, 3-month contract. In this role, you will be responsible for monitoring, assessing, and improving the quality of data to ensure accuracy, completeness, and reliability across various datasets and systems. You will work closely with data owners and stakeholders to identify quality issues and implement corrective actions.
Responsibilities:
• Configure and deploy
Informatica Data Quality (IDMC)
across environments
• Develop and implement
data quality rules, scorecards, and profiling routines
• Map and onboard
Critical Data Elements (CDEs)
into DQ framework
• Configure
data validation, standardization, and cleansing rules
• Enable
DQ dashboards and reporting outputs for business users
• Integrate DQ processes with
data catalog and governance workflows
• Support periodic execution (daily/weekly/monthly) and performance tuning
Requirements
Requirements:
• 3+ years in data quality/data governance with
hands-on Informatica IDQ (IDMC preferred)
• Experience in
rule development, profiling, and DQ scorecarding
• Strong SQL skills and understanding of
data validation techniques
• Experience working with
large-scale enterprise data environments
Understanding
data quality dimensions (completeness, accuracy, consistency, etc.)
Benefits
Why Join Us:
Opportunity to work with a talented and passionate team.
Competitive salary and benefits package.
Exciting projects and innovative work environment.
Riyadh, Saudi Arabia
УдалённоSouth Korea; Mapbox Japan; Location: Must reside in Japan or South Korea
УдалённоUnited Kingdom; We work Monday to Friday, 10am to 7pm SGT (GMT+8) and you will be required to coordinate with the team for at least 3 overlap hours a day in the SGT timezone; Preferably time zones are between GMT and GMT+2
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Japan; Remote; Singapore; Location / Timezone; Remote-friendly for exceptional candidates — must have 3+ hours overlap with Tokyo business hours (JST, UTC+9)
San Francisco, CA | New York City, NY | Seattle, WA
seniorHanoi OR Ho Chi Minh City
New York City, NY; San Francisco, CA
Ho Chi Minh City
УдалённоseniorПротиворечивые условия: For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S; visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements
УдалённоseniorПротиворечивые условия: For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S; visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements
УдалённоleadПротиворечивые условия: For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S; visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements
УдалённоleadПротиворечивые условия: For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S; visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements
ГибридseniorMountain View, California, USA; We offer relocation assistance and look forward to you joining us in our Mountain View office
seniorГеография найма не уточнена
New York, NY; San Francisco, CA; For candidates outside of these areas, you may be eligible for our relocation assistance program
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