Location: Barcelona, Spain
Workplace: hybrid
About seQura
seQura provides innovative, flexible and easy-to-use payment technologies that help merchants acquire, convert and retain more customers. We make a difference in sales performance by tailoring our solutions to different sectors, to address their unique pain points and deliver superior results in Retail, Education, Eyewear and Travel. We also empower smart shopping to consumers who seek more value, convenience, and flexibility in their shopping, with new payment experiences that allow them to save, access interest-free credit, or pay in small, comfortable installments of up to 24 months.
Born in Barcelona, seQura is a privately-owned fintech, currently expanding throughout southern Europe and Latin America, growing above 50% CAGR. Over 6000 businesses, almost 3 million shoppers, and almost 400 employees continue to rate us as one of the most loved and trusted fintechs out there.
About the role
🤓
Finance at SeQura has evolved to building the infrastructure that powers forward-looking, insight-driven decisions. We are looking for builders, not classic FP&A profiles: people who have worked hands-on with AI tools, structured real databases, understand the business deeply, and get energy from turning messy manual processes into clean, automated ones. If you are excited by the idea of building an AI-first finance data platform for forecasting, planning, reporting, and decision-making, this role is for you.
What challenges you'll be solving
🚀
Build the financial data backbone of SeQura.
Help design, build, and maintain the single source of financial truth across P&L, cash flow, balance sheet, and unit economics; the data layer that everything else relies on.
Build tools, not reports.
Use AI (Claude), automation, and our data stack to create the models, pipelines, and tools that replace manual work and make insight available in real time.
Proactively find and kill inefficiency.
Proactively hunt down slow, manual, or fragile processes and re-engineer them. Own the problem end to end from spotting it to shipping the fix that sticks.
Partner with the business.
Work as a true finance partner through budgeting, forecasting, variance analysis, scenario planning, but with the goal of building the systems that make this faster and sharper every cycle.
Move to continuous, driver-based planning.
Help shift to rolling, driver-based forecasts and dynamic scenario analysis, powered by the infrastructure you build.
Turn data into decisions.
Prepare Board-, leadership-, and investor-ready materials that turn complex data into clear recommendations and build the tooling that makes producing them near-automatic.
Raise the bar on the stack.
Drive adoption of our finance and analytics tools (AI, Abacum, BI, automation, anomaly detection) to improve scalability, reduce manual work, and increase trust in analytics. Proactively identifying opportunities to automate before being asked to do so.
Help build a real-time decision engine.
Contribute to a Strategic Finance function that runs on ownership, automation, and analytical rigor, not manual reporting.
What we offer
😎
We have a strong and sustainable foundation, where we provide a secure and reliable workplace. You have the freedom and trust to make the best contribution possible.
One of our most valued strengths by our employees is our fellowship and supportive culture, which fosters a sense of belonging by working closely with our values. With us, you will have challenging projects to work on and push your skills and knowledge.
In addition, we are very proud of the unique office we have, which offers a comfortable and inspiring environment to work in with everything you need.
23 vacation days + 2 days of free disposal per year.
Professional development workshops or seminars.
Flexible compensation plan for transportation, restaurants, and kindergarten with Cobee.
Health insurance discounts with Sanitas and Adeslas.
Urban mobility by using your own bike with Kleta.
Free access to healthy, organic, and sustainable fruits.
Moreover, we offer a
Wellness Program
that embraces a holistic approach by covering 6 areas (occupational, physical, financial, emotional, social, and environmental consciousness). Each area will include various activities, and you'll be able to choose from 34 different activities that best meet your needs to configure a plan that best works for you.
What you’ll need 🤝
Genuinely curious and relentless; someone who actively questions existing processes, experiments with new tools (including AI), and has a track record of finding better ways to do things without being asked. We're not looking for someone who waits for permission to improve.
Bachelor’s degree in Finance, Accounting, Economics, Engineering, or a related field.
3+ years of experience in FP&A, Strategic Finance, or a similarly analytical role in a high-growth fintech, SaaS, lending, or other complex environment.
Proven ability to build and run driver-based financial models across P&L, cash flow, balance sheet, and unit economics.
Strong bias for action, with the ability to turn ambiguity into clear structure, decisions, and adopted solutions.
Systems thinker with strong analytical rigor and attention to detail.
Excellent communication and stakeholder-management skills, with the ability to translate complexity into clear business insight.
Active use of AI tools in day-to-day work, not just awareness, but genuine integration into how you work. Someone who has already replaced manual tasks with automation and who keeps looking for the next one.
Strong Excel and financial systems skills; experience with NetSuite, Abacum, and Embat is a plus.
Fluent in English; Spanish is a strong plus.
We kindly ask that you submit your
CV in English,
as it is the official language of our community.
We promote equal opportunity to all, regardless of age, color, gender identity, medical condition, physical or mental disability, race, religion, sexual orientation, or other characteristics. We have an inclusive environment, and respect is above all.
Do you want to be part of the change? Join us!
👇
Location: Venice; Padua; Vicenza; Verona
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Norway, Sweden, Denmark, Finland, Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection, and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes 4 factories, 2 of which are located in Ukraine, 1 in Turkey, and 1 in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Personality profile:
3+ years of experience in the electronic security industry or a similar industry.
Proven sales experience in the Veneto and Sardinia regions.
Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, or fire alarm systems.
Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals.
Developing and implementing successful sales strategies.
Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level.
Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions.
Ability to manage and prioritize multiple projects and tasks simultaneously.
Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics.
A strong combination of technical knowledge, sales expertise, and strong communication skills.
Responsibilities:
Develop and implement a strategic business development plan in Italy, aligned with company objectives and market trends.
Identify, evaluate, and onboard new distributors and partners across the region, ensuring coverage in key markets and verticals.
Identify and pursue new business opportunities that align with the company's growth strategy.
Develop and maintain relationships with key clients, partners, and stakeholders.
Conduct market research to identify new trends, opportunities, and potential risks.
Analyze market data to develop and execute effective sales strategies.
Collaborate with cross-functional teams to ensure the successful delivery of products and services.
Prepare and deliver presentations to potential clients and partners.
Negotiate contracts and agreements with clients and partners.
Manage and prioritize multiple projects and initiatives simultaneously.
We offer:
Competitive compensation that includes a base salary and performance-related bonuses.
A product that sells itself.
Freedom to make decisions and implement ideas.
A zero bullshit culture.
A strong and well-coordinated team of professionals.
Ambitious tasks and challenges.
Opportunity to work with the most recognized security system and develop your career.
Car allowance and all business expenses and work tools are covered by the company.
Location: Florence
Workplace: remote
Ajax Systems is an international tech company and the largest manufacturer of security systems in Europe, with over 4.5 million end users and 330K PRO users in more than 180 countries worldwide. The company offers end-to-end solutions for protecting homes and businesses оf any scale. To date, Ajax product portfolio includes 280 devices for intrusion protection, video surveillance, fire and life safety, and comfort and automation. The company employs 5,000 specialists.
We develop local teams because we understand local experts best comprehend market specifics. The company has sales representatives worldwide, including Norway, Sweden, Denmark, Finland, Italy, Spain, Germany, France, the United Kingdom, the USA, Australia, South Africa, and other regions. The Global Business Development team is like-minded people who share the ambitious goals of Ajax Systems.
The best software combined with powerful hardware has forever changed the perception of security systems for users and industry professionals. Being recognized at the biggest specialized exhibitions such as IFSEC, Expoprotection, and Intersec, as well as winning prestigious awards from industry-leading media like PSI magazine and GIT SECURITY, today Ajax is one of the most awarded security systems in Europe.
Ajax Systems production includes 4 factories, 2 of which are located in Ukraine, 1 in Turkey, and 1 in Vietnam. At the same time, the company's certification according to the ISO 14001 standard ensures a minimal impact of production on the environment. The selection of components for Ajax device manufacturing is determined by the presence of manufacturer declarations confirming compliance with RoHS requirements.
The company emerged against the backdrop of revolution and war. That's why resilience is the cornerstone of the brand's DNA, and the fight against evil by creating the best security and automation devices is Ajax unwavering mission.
Personality profile:
3+ years of experience in the electronic security industry or a similar industry.
Proven sales experience in the Toscana, Umbria and Marche region.
Strong technical knowledge of electronic security systems, including access control, video surveillance, intrusion detection, or fire alarm systems.
Proven track record of being involved in the entire sales process, from identifying new business opportunities, developing proposals and presentations, negotiating, and closing deals.
Developing and implementing successful sales strategies.
Excellent communication and interpersonal skills to build relationships with customers, partners, and industry experts at an executive level.
Strong analytical skills to analyze market trends, identify customer needs, and develop effective solutions.
Ability to manage and prioritize multiple projects and tasks simultaneously.
Knowledge of the latest technologies and trends in electronic security, such as cloud-based solutions, IoT, and AI-based analytics.
A strong combination of technical knowledge, sales expertise, and strong communication skills.
Responsibilities:
Develop and implement a strategic business development plan in Italy, aligned with company objectives and market trends.
Identify, evaluate, and onboard new distributors and partners across the region, ensuring coverage in key markets and verticals.
Identify and pursue new business opportunities that align with the company's growth strategy.
Develop and maintain relationships with key clients, partners, and stakeholders.
Conduct market research to identify new trends, opportunities, and potential risks.
Analyze market data to develop and execute effective sales strategies.
Collaborate with cross-functional teams to ensure the successful delivery of products and services.
Prepare and deliver presentations to potential clients and partners.
Negotiate contracts and agreements with clients and partners.
Manage and prioritize multiple projects and initiatives simultaneously.
We offer:
Competitive compensation that includes a base salary and performance-related bonuses.
A product that sells itself.
Freedom to make decisions and implement ideas.
A zero bullshit culture.
A strong and well-coordinated team of professionals.
Ambitious tasks and challenges.
Opportunity to work with the most recognized security system and develop your career.
Car allowance and all business expenses and work tools are covered by the company.
We are working to ensure that people's lives are calm and the world safe.
Let's become a part of the team that creates in Ukraine a smart and useful global product.
Location: Brazil
About Turing
Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at
www.turing.com
.
*This is a remote role and can be performed anywhere in Brazil/Colombia*
The Role
We are looking for a Research Engineer to help deliver frontier-quality datasets, RL environments, and evaluations that improve state-of-the-art models for a frontier AI lab client. You will work directly with the client's researchers and engineers, turning inbound requests and post-training goals into concrete technical proposals and data/environment specifications, and then owning the technical execution: building the quality and verification systems that ensure what we deliver meets extremely high standards for correctness, realism, diversity, difficulty, and measurable model lift.
Most of this work is bespoke and custom, built for one client's evolving needs.You'll typically stay attached to a single frontier lab client so you can build real context and a working relationship with their team, with flexibility to support other accounts when needed. Because bespoke work is judged on both turnaround time and quality, both matter equally here.
This role is designed for candidates with experience
building
and
improving
deep learning systems, especially where strong results depend on data quality, data curation, denoising, synthetic data generation, and rigorous evaluation. You'll operate in one or more of the following capability areas:
Coding and software engineering agents (repositories, unit tests, debugging, tool use, code reviews, long-horizon workflows)
RL environments and verifier-based training (tasks, rewards/verifiers, trajectories, evaluation harnesses)
Multimodal data and reasoning (text + images + documents + tables/charts; optional audio/video)
STEM reasoning (math, physics, chemistry, bio, engineering – solution verification and error analysis)
Modern embodied AI / VLM-driven agents (vision-language(-action) models, embodied task suites, tool/sensor/action abstractions, long-horizon interaction data)
What You'll Do
1) Own data and environment quality from an AI researcher perspective
Respond to inbound requests from the client and translate ambiguous, evolving research goals into a technical proposal and clear data requirements: target skills, failure modes, difficulty calibration, coverage, and success metrics.
Provide the technical feasibility assessment, assumptions, acceptance criteria, and evaluation requirements needed to scope the contract or statement of work.
Define what “good” looks like by creating detailed rubrics, counterexamples, and boundary cases (what to include vs. exclude).
Perform deep, detail-oriented audits of produced data: spot subtle errors, reward hacking opportunities, leakage, ambiguity, inconsistent assumptions, and distribution shifts.
Drive iterative improvements using evidence: group failures (for example, by semantic similarity) to find the underlying gap, then turn that into concrete instructions for the production team — better few-shot examples, explicit counterexamples, clearer guidance on what's causing rejections.
2) Design and build datasets and RL environments for your capability area(s)
Contribute to or lead the design of:
Task suites (single-step and long-horizon workflows)
Ground-truth signals (verifiers, unit tests, structured checks, reward functions, automatic validators)
Environment interfaces (APIs, tool schemas, state abstractions, database schemas, simulator-like dynamics)
Depending on your mapped capability area(s), you may focus on:
Coding / SWE agents: data reflecting real development work (codebase navigation, bug localization, patching, tests, code reviews, CI-like constraints, refactors, security fixes).
Multimodality: tasks that test true multimodal reasoning (chart reading, document QA, UI understanding, diagram-based STEM reasoning, OCR-aware tasks).
STEM: tasks with verifiable solutions (symbolic checks, reference solvers, numerical validation, step consistency, unit sanity).
Modern embodied AI / VLM-driven agents: interaction data and environments for vision-language(-action) models.
3) Build robust validation, denoising, and synthetic data systems
Build project-specific verification systems that combine deterministic checks, model-based evaluators calibrated against gold sets, and targeted human review.
Implement automated validation and filtering to achieve frontier-grade signal-to-noise: deduplication, decontamination, leakage checks, consistency checks, difficulty and diversity controls.
Develop synthetic data generation and augmentation pipelines where appropriate: programmatic task generators, controlled perturbations, scenario templating, simulator-/tool-driven rollouts.
Create documentation and data cards: dataset intent, known limitations, recommended use, and evaluation linkage.
4) Use evaluations and training runs to prove impact
Design and run evals that reflect the client's intended usage.
Produce analysis that connects data to outcomes: pre/post comparisons, error breakdowns, ablations that identify which data attributes drive lift.
When needed, run in-house fine-tuning or RL-style experiments (or partner with research) to demonstrate that the data/environment improves model behavior in measurable ways.
5) Collaborate effectively with large production teams without being ops-heavy
Give technical direction to the distributed expert network producing the data, by providing clear specs, examples, edge cases, and fast feedback loops based on audits and quantitative signals.
You own technical translation, acceptance criteria, evaluator and verifier design, quality diagnosis, and the technical release recommendation. The Strategic Project Lead owns production execution, staffing, throughput, project cost, and recovery.
You are expected to be highly engaged in reviewing and improving outputs from large annotation/creation efforts, but not primarily responsible for hiring, staffing, or people operations — that sits with the SPL.
Communicate directly with the client on technical findings, quality risks, and recovery options. Align changes to scope, schedule, or external commitments with the account and delivery owners.
Who We're Looking For
4–5 years of experience building or improving deep learning systems where data quality mattered materially (training, post-training, evals, or agentic systems).
Strong intuition for the “data ingredients” that drive model improvements: what to collect, what to filter, what to synthesize, and how to measure.
Ability to communicate clearly with researchers and engineers: turning research objectives into concrete specs, and turning messy outputs into actionable insights.
Comfortable being the direct technical point of contact for a client, including explaining setbacks or trade-offs when things don't go as planned.
Demonstrated ability to be extremely detail-oriented in diagnosing subtle data quality issues and failure modes.
Solid programming ability with a bias for shipping: Python proficiency required; comfort with SQL/structured data workflows strongly preferred; for coding-focused work, proficiency in a major language (e.g., C++, Java, Go, Rust, JS/TS) is a plus.
Comfort designing quality systems: rubrics, validation scripts, gold sets, sampling strategies, statistical checks, slice-based evaluation, human-in-the-loop review loops grounded in measurable criteria.
Direct experience with a frontier AI lab is not required, and is uncommon in the LATAM market — what matters most is hands-on engineering depth and the ability to operate with ambiguity.
Strong pluses
RL or post-training experience (any of: RLHF/RLAIF, verifier training, reward modeling, RL fine-tuning, environment design).
Experience with agentic evaluation (tool use, multi-step workflows, long-horizon tasks, trajectory analysis).
Multimodal expertise (document understanding, charts, diagrams, OCR, UI/vision grounding; audio/video optional).
STEM depth (math/physics/engineering) with an eye for verifiability and rigorous correctness.
Modern embodied AI / VLM-driven agent experience (vision-language(-action) models, interaction datasets, embodied evals, long-horizon grounding, tool/sensor/action interfaces).
Systems thinking: ability to “simulate” an application's API/data schema and design tasks that realistically reflect real-world constraints and workflows.
Why Turing
Work directly with a frontier AI lab, at the cutting edge of post-training and RL environment design, embedded in a real research relationship rather than a rotating set of anonymous tasks.
Real impact (path to AGI): your datasets and environments will directly influence the trajectory toward Artificial General Intelligence and, ultimately, Superintelligence.
High autonomy and fast iteration, with a Strategic Project Lead handling scaling and resourcing so you can stay focused on the technical approach and quality bar.
Talent-dense team, where you'll find rapid iteration and an exceptional learning curve.
Values
We are client first:
We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
We work at Start-Up Speed:
We move fast, stay agile and favor action because momentum is the foundation of perfection
We are AI forward:
We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
Work at the frontier of AI
, helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks.
Contribute to leading-edge AI research
and showcase your work at top conferences such as ICLR, ICML, and NeurIPS.
Bring frontier AI innovation to the enterprise
, applying lessons learned from leading AI labs to solve real-world business challenges.
Collaborate with and learn from exceptional colleagues
with deep AI experience from Google, Meta, Amazon, and other leading technology companies.
Move at the pace of AI innovation
, with the speed, ownership, and impact of a startup.
Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review
Turing's GDPR notice here
.
Location: Hong Kong, Hong Kong SAR; Singapore, Singapore
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Team
We sit on the front lines of OKX's security and compliance mission. Our charter is to build the flexible, scalable, and intelligent AI systems that detect and prevent identity fraud, account takeover, and large-scale organized abuse — in real time and at the scale of a global financial platform. We own the core identity-risk capabilities that decide, millions of times a day, whether an account can be trusted: identity trust signals, behavioral risk modeling, relationship and cluster intelligence, and face, liveness and document verification. We work shoulder-to-shoulder with Product, Risk, Compliance, and Engineering to turn the hardest adversarial problems in crypto into production-grade defenses that protect good users and the open financial system.
About the Role
We are looking for a Senior AI Engineer to design, build, and own key identity-risk and trust models at OKX. You will build models that combine identity verification results, device and geo data, and user behavior into trust and risk signals, and use graph and clustering methods to uncover organized, industrialized fraud. This is an end-to-end, research-to-production role: you will own algorithms in your domain and ship models into real-money, high-risk, large-scale production environments.
You will be a hands-on technical contributor who works closely with Product, Risk, and Compliance, and who helps raise the technical bar of the team. Your domains span:
Identity trust & risk modeling
— fusing verification scores, device, geo, and behavioral data into identity-quality and trust signals.
Cluster & relationship intelligence
— graph and clustering methods to identify account farms, mass registration, and coordinated attacks.
Behavioral risk modeling
— behavioral features and sequence models for account takeover and abnormal-session detection.
Biometric & multimodal signals
— face embeddings, liveness/anti-spoofing, DeepFake and injection defense, document forgery and AIGC detection, used as inputs to identity trust and the risk layer.
AI agents
— applying agentic AI to scale investigation, detection, and operational defense.
What You'll Be Doing
Build identity trust & risk models:
Design and ship coarse-to-fine risk models that fuse face/liveness/document verification scores, device, IP and geo signals, and behavioral data, for high-concurrency real-time decisioning.
Uncover organized
fraud
with graph & clustering:
Build entity graphs across accounts, devices, faces, documents and templates, and apply community detection, clustering, and GNN methods to detect fraud rings and large-scale abuse.
Develop behavioral features & sequence models:
Engineer real-time and offline behavioral features, and build sequence models to detect account takeover, bot/script behavior, and abnormal sessions.
Leverage biometric & multimodal signals:
Turn biometric features (face embeddings, face quality, liveness and anti-spoofing results) and document-forgery and DeepFake signals into reliable identity-trust inputs for risk decisions, including biometric similarity for cross-account linkage and duplicate-identity detection. Work with the face, liveness, and document teams, or build models yourself.
Drive execution & collaboration:
Deliver measurable results while managing ambiguity; partner with backend, product, infrastructure, risk, and compliance teams to integrate models into the production decision chain. Own metric definitions, the balance between false positives and missed fraud, pass rate, monitoring, and drift handling.
Advance applied R&D:
Experiment with graph learning, multimodal fusion, and AI agents; stay current with academic and industry advances and translate them into practical defenses.
Raise the technical bar:
Contribute to design reviews, share applied-AI best practices, and mentor junior engineers.
What We Look For
5+ years
of hands-on experience building risk-control, fraud-detection, or identity-trust models, including significant experience deploying ML systems into production.
Graph & clustering expertise:
Experience applying graph mining, community detection, clustering, or GNN methods to fraud or abuse detection.
Behavioral modeling:
Solid experience with behavioral feature engineering and sequence modeling, including real-time feature pipelines.
Deep AI/ML expertise:
Strong proficiency with PyTorch and/or TensorFlow, and solid experience with production ML systems.
Strong technical & coding skills:
Strong coding ability (e.g., Python, SQL) and the system-level thinking to design end-to-end solutions with high availability and low latency.
Adversarial mindset:
Understanding of how fraudsters adapt, and how to evaluate and iterate defenses against evolving attacks.
Collaboration:
Strong communication skills, with experience working across engineering, product, and risk teams.
Education:
Bachelor's degree or higher in Computer Science, Electrical Engineering, or a related field.
Preferred Qualifications
Experience in identity verification, KYC/KYB, AML, face-payment or payment risk control, or biometric security.
Hands-on experience with face recognition, liveness/anti-spoofing, OCR, document parsing, fake-ID detection, or media forensics.
Experience with graph databases or graph computing (e.g., Neo4j, GraphX) and real-time graph features.
Knowledge of data and AI/ML infrastructure (e.g., Spark, Flink, Kafka, Airflow, Snowflake).
Familiarity with MLOps best practices: monitoring, retraining, and continuous improvement of production models.
Experience with LLMs and AI agents.
Experience working in fast-paced technology companies or security-critical environments.
Research publications, patents, or open-source contributions in relevant AI fields.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design and implement the backend systems that power WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll architect and maintain critical services and integrations that support Finance, Operations, Member Services, and other business functions. By building reliable, secure, and performant systems, you’ll directly shape how WHOOP delivers value to its members and scales globally.
RESPONSIBILITIES:
- Design, implement, and maintain scalable backend services and APIs that power business-critical systems and integrations.
- Contribute in design and implementation of scalable data pipelines, automation, and workflows that improve operational efficiency.
- Collaborate with product managers, data engineers, and internal business teams to gather requirements and build effective technical solutions.
- Contribute to the team’s codebase with high-quality, testable, and well-documented code.
- Identify system bottlenecks and improve the performance, reliability, and maintainability of backend systems.
- Contribute to long-term technical strategy for Business Systems and identify opportunities for automation and process improvement.
- Participate in code reviews and mentor junior engineers to foster a culture of engineering excellence.
QUALIFICATIONS:
- BS in Computer Science, Engineering, or equivalent experience.
- 2+ years of experience in backend software development with a strong foundation in computer science principles
- Strong proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar).
- Experience building and maintaining APIs, integrations, and distributed systems.
- Comfortable working with relational databases, data modeling, and query optimization.
- Experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems.
- Excellent communication skills and ability to work cross-functionally with technical and non-technical teams
- Strong sense of ownership and ability to deliver quality solutions in a fast-paced environment
- A growth mindset and eagerness to learn from feedback and new challenges.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: USA
Workplace: remote
Jito builds the Market Layer of Solana, the infrastructure that powers real markets on-chain. We started by building foundational network infrastructure: execution systems, capital markets, and incentive mechanisms that process billions in daily transaction value. Our products (Jito Block Engine, BAM, and JitoSOL) are market leaders and core to how Solana's economy operates.
Now we're moving up the stack. You’ll help build JTX, the trading app designed to capture the next generation of on-chain volume — not simply by adding more features or competing on fees, but by creating the platform serious traders genuinely want to use every day.
This is a product challenge that goes far beyond shipping functionality. It requires deep attention to speed, trust, feel, workflow, and user obsession at every level of the experience. The hardest part isn’t measuring what traders want — it’s building a product so intuitive and powerful that they choose it instinctively.
We're a small, profitable company with product-market fit. That means:
High ownership: Every team member drives significant technical decisions and shapes our product roadmap.
Fast execution: We ship rapidly and iterate based on real-world feedback. Progress, not motion.
Technical excellence: We tackle complex problems with elegant, scalable solutions.
Sustainable growth: Strong financials and proven market fit enable us to focus on long-term impact.
We offer competitive compensation, significant equity, and the opportunity to work on problems that matter.
About the Position
We're building JTX, a next-generation trading app that brings the speed, power, and sophistication of Solana’s market infrastructure directly to traders. This is a true 0-to-1 product effort focused on creating an experience that serious on-chain traders actually want to use — fast, intuitive, high-performance, and deeply connected to the mechanics of the market itself.
You’ll work alongside the team behind some of the leading infrastructure powering billions in daily transaction value on Solana, translating complex systems and market behavior into a seamless trading experience for users. Whether it’s shaping workflows, refining interfaces, improving execution visibility, or helping define the product from the ground up, this role will have a direct hand in building what trading on Solana looks like next.
If you've spent time thinking about how markets actually work on Solana and want to build the product layer on top of that, this is the role.
What You'll Do
Design and build core systems for our new product from scratch
Build low-latency, high-reliability services that interact directly with Solana's transaction and block building pipeline
Own critical infrastructure: order routing, execution, real-time market data, and position management
Implement security at every layer, from transaction signing to user data protection
Work closely with the product and infrastructure teams to ship fast and iterate based on real user feedback
Make significant architectural decisions as an early member of the team
What We're Looking For
5+ years of software engineering experience, with meaningful time spent on distributed systems
Strong systems programming skills. Rust preferred, but deep experience in C/C++, Go, or similar is fine
Track record building reliable, low-latency systems in production
Security-first mindset. You think about attack surfaces, key management, and failure modes before writing code
Familiarity with Solana's runtime, transaction lifecycle, and market microstructure (MEV, block building, execution quality) is a strong plus
Comfortable operating with high autonomy and incomplete information. This is a 0-to-1 product, not a mature codebase
Relevant Background
If you have experience in any of the following, you may be a good fit:
Trading systems or exchange infrastructure
DeFi protocol engineering
Fintech backend systems (payments, custody, execution)
High-frequency or low-latency systems
Security engineering
Location: Dhahran, Saudi Arabia
Eram Talent is seeking a proactive and detail-oriented MIS / Data Analysis Coordinator to join our team. As a renowned Talent Acquisition Consultancy, we focus on delivering excellent staffing solutions across multiple industries. The MIS / Data Analysis Coordinator will be responsible for managing Management Information Systems (MIS), conducting data analysis, and generating insightful reports to support strategic business decisions.
This role involves collecting, processing, and validating data, developing automated reports, and working closely with various departments to provide data-driven insights. The ideal candidate will have strong analytical skills, expertise in data management tools, and the ability to communicate complex information effectively.
Key Responsibilities
Generate reports to track progress and inform decision-making
Develop and implement plans to support organizational objectives
Monitor and track budgets to ensure financial accountability and transparency
Coordinate and facilitate YP training sessions, plan and execute events, and provide administrative support to the VP's office
Prepare financial reports and provide insights to support data-driven decision-making
Perform data analysis tasks to optimize processes and inform business decisions
Ensure compliance with data governance and security policies.
Provide training and support to teams on MIS and data analysis tools.
Assist in improving data collection procedures and systems.
Requirements
Bachelor’s degree OR Diploma degree in Data Analysis, Data Science, or Business Analytics or MIS.
2+ years of experience in Data Analysis, Data Science, or Business Analytics
Proficiency in MS Excel, SQL, and data visualization tools like Power BI or Tableau.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and manage multiple priorities.
Familiarity with data governance and data quality standards.
Experience with database management and reporting tools.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Database Engineer on the Engineering team at Harvey, you will define how our database infrastructure operates and evolves across our legal AI platform. Harvey runs a global fleet of PostgreSQL databases spanning multiple regions and availability zones. You’ll own the technical strategy for this fleet—setting the standards for migration governance, driving architecture decisions for multi-region scaling, and establishing the operational practices that keep our data layer reliable as we grow.
This is a leadership role with deep hands-on expectations. You’ll partner directly with Principal and Staff Engineers on infrastructure roadmap decisions while also being the person who can diagnose a replication lag spike at 2am. You’ll build the migration review framework, define the tooling strategy, and raise the bar for how the entire engineering organization thinks about database safety and performance.
This role is based in San Francisco, CA. We use an in-person work model and offer relocation assistance to new employees.
WHAT YOU'LL DO
- Migration Governance – Own the migration governance framework end-to-end—design the review workflow, CI gate checks, automated rollback procedures, and fleet-wide deployment sequencing that makes safe migrations the default across the org
- Architecture & Scaling – Drive the technical strategy for Harvey’s global database fleet—multi-region replication design, capacity planning, sharding and partitioning approaches, and fleet-wide observability as we scale into new markets
- Reliability & Performance – Own database reliability and performance at the fleet level—monitoring replication health, optimizing query performance, tuning vacuum and connection management, and building the alerting that gives us confidence across all production environments
- Platform & Tooling – Build self-service tooling and developer guardrails—migration dry-runs, schema diff previews, automated health checks, performance regression detection—so engineering teams can move fast without bottlenecking on a single DBA
- Incident Leadership – Lead database incident response and drive systemic improvements—triage production issues, run post-incident reviews, and turn lessons learned into durable process and tooling fixes
Even Better If You Can:
- Security & Compliance – Partner with Security and Compliance to design and enforce data-layer controls for SOC 2, GDPR, and data residency requirements—access controls, audit logging, encryption standards, and data lifecycle policies
- Strategic Partnership – Represent database engineering in vendor evaluations, build-vs-buy decisions, and technology strategy discussions with engineering leadership
- Team Building – Shape the database engineering function at Harvey—define the operating model, set the hiring bar, mentor engineers on database best practices, and build the culture where teams proactively think about data safety
WHAT YOU HAVE
- 10+ years of hands-on experience in database administration, database reliability engineering, or infrastructure engineering with PostgreSQL as your primary database, with demonstrated staff-level scope—you’ve set standards across teams, not just operated within one
- Expert-level PostgreSQL knowledge (required)—WAL mechanics, vacuum tuning, logical and physical replication, partitioning strategies, and the ability to debug production issues others can’t. PostgreSQL is our core database and deep fluency is non-negotiable
- Track record of building migration governance systems—not just reviewing migrations, but designing the frameworks, tooling, and organizational processes that make safe migrations the default
- Experience architecting database infrastructure for multi-region, high-availability environments—replication topologies, failover automation, and data consistency trade-offs at fleet scale
- Deep fluency with database observability—you’ve built monitoring strategies using Datadog, pganalyze, or custom instrumentation, and you know which metrics actually predict incidents
- Experience leading database major version upgrades (e.g., PostgreSQL 14 → 16) or sharding initiatives in production with zero downtime
- Proven ability to influence technical direction across teams without direct authority—you’ve written RFCs, set standards, and changed how an engineering organization thinks about database operations
- Proficiency with cloud database services at scale (Azure Database for PostgreSQL, GCP Cloud SQL, or AWS RDS/Aurora) and infrastructure-as-code (Terraform, Pulumi)
- Clear communication across audiences—you can present a database architecture decision to the VP of Engineering and explain a migration risk to a junior developer with equal clarity
Bonus
- Strong software engineering skills (Python, Go, or similar)—you build production-grade tooling and automation, not one-off scripts
- Exposure to vector databases, embedding storage, or adjacent systems (Redis, Elasticsearch, Kafka) relevant to AI/ML workloads in regulated industries
- Background building or leading a database engineering function from scratch — defining the team charter, hiring, and operating model
COMPENSATION
$190,720 - $325,000
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922].
#LI-AN2
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Washington, DC
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
As a Federal Partners Account Executive at Anthropic, you'll drive revenue by selling our safe, frontier AI solutions directly to Systems Integrators (SI) and Independent Software Vendors (ISV) in the public sector space. You'll focus on selling directly to partners to ensure Anthropic's AI capabilities are delivered within their own solutions and service offerings. Working closely with GTM, product, and marketing teams, you'll help these partners understand and implement our technology while driving significant revenue growth.
Responsibilities
Win new business and drive revenue for Anthropic by directly
selling to
Systems Integrators and ISVs in the public sector space, owning the full sales cycle from prospecting through close
Identify net-new revenue by selling to SIs with prime contracts, helping them integrate AI into their technology stack and consulting practices to differentiate their offerings, accelerate delivery, and win more competitive bids
Navigate complex technical sales conversations with partners' engineering and product teams
Work with partners' technical teams to ensure successful implementation, adoption and deployment of Anthropic's AI capabilities into their solutions
Coordinate with cloud providers (AWS, GCP) to align technical and commercial aspects of deals
Build deep relationships with key decision makers within partner organizations
Provide market intelligence and partner feedback to product teams to influence our roadmap and feature development
Create and maintain sales playbooks specific to SI and ISV sales motions
Track and forecast sales pipeline specific to the partner segment
You may be a good fit if you have
7+ years of enterprise sales experience selling directly to Systems Integrators and ISVs
Security clearances preferred
Strong track record of closing complex technical sales to partner organizations
Deep understanding of SI and ISV business models, buying processes, and technology evaluation criteria
Experience navigating technical requirements and security standards specific to public sector implementations
Proven ability to exceed revenue targets in partner-focused sales roles
Strong technical acumen and ability to engage with partners' engineering teams
Experience coordinating with cloud providers in complex deal scenarios
Excellent communication skills and ability to present to both technical and business audiences
Strategic thinking combined with hands-on sales execution capabilities
Understanding of public sector procurement processes and how partners operate within them
A passion for safe and ethical AI development, with the ability to articulate its technical value to partner organizations
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
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: Hong Kong, Hong Kong SAR; Singapore, Singapore
OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa.
Who We Are
At OKX, we believe that the future will be reshaped by Crypto, ultimately contributing to every individual's freedom. OKX began as a crypto exchange giving millions of people access to crypto trading and over time becoming among the largest platforms in the world. In recent years, we have developed one of the most connected Web3 wallets used by millions to access decentralized crypto applications (dApps). OKX is a trusted brand by hundreds of large institutions seeking access to crypto markets on a reliable platform that seamlessly connects with global banking and payments. In the last year, OKX has expanded into new markets including Australia, Brazil, Netherlands, Singapore and Turkey, with plans to launch in the US, Belgium and the UAE.
We are deeply committed to shaping a fairer, more transparent and accessible society through blockchain technology. This is why we publish proof of reserves monthly, and continue to ship new innovative security features.
About the Team
Trading Services Engineering team powers OKX's core trading infrastructure — the systems that keep millions of users trading reliably, 24/7, at global scale. You'll build the backbone that other engineering teams depend on.
What You'll Be Doing
Design and build high-availability, low-latency distributed services that power core trading flows
Own service reliability end-to-end: architecture, performance tuning, monitoring, and incident response
Partner with Product and cross-functional engineering teams to translate trading requirements into scalable system design
Drive technical best practices through code reviews, design reviews, and mentorship of peers
Contribute to Kafka-based messaging architecture and event-driven system design at scale
What You’ll Be Doing
Collaborate with cross-functional teams including Product, Design, and Marketing to drive innovation and execution
Design and implement high availability, high-performance distributed services
Contribute to technology best practices and perform code reviews for peers
What We Look For In You
Bachelor's degree in Science, Technology, Engineering, or Mathematics
Demonstrated experience adopting AI tools in the engineering workflow, able to evaluate and integrate AI capabilities into day-to-day development
Hands-on experience in Microservice/API development using Java/SpringBoot/SpringCloud
Strong knowledge of multi-threading and distributed architecture, and understanding of messaging frameworks such as Kafka
Proficient in relational database design and development
Comfortable working in a cloud-based Linux environment
Proven experience in automated testing and continuous integration
Knowledge of integrating with 3rd party software via APIs/SDKs
Perks & Benefits
Competitive total compensation package
L&D programs and education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Location: New York
Workplace: Hybrid
ABOUT BASETEN
Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.
WHO WE ARE
Enterprise at Baseten means the companies with the most to gain from AI and the most complexity in getting there: large digital natives running products at massive scale, and category leaders in software, financial services, healthcare, and beyond. They have the data, the distribution, and the budget. Most are still deciding what to build, what to run themselves, and what it should cost.
That makes this a consultative sale. You'll spend as much time helping a VP of Engineering pressure-test their AI strategy as you will selling against an alternative, mapping use cases, framing build-vs-buy, and giving clear recommendations grounded in what you've seen work at the frontier. Then you'll do the enterprise work: multithreading across a buying committee, navigating security and procurement, and turning a first workload into an eight-figure relationship.
You'll work alongside our founders, forward-deployed engineers, and GTM leadership, in a seat where the playbook is still being written.
RESPONSIBILITIES
- Own a revenue target end to end, from prospecting and outbounding through closing Tier 1 accounts in your verticals
- Act as a strategic advisor on AI adoption: identify use cases, shape architecture decisions, and lead with clear, opinionated recommendations
- Multithread across large organizations, from the engineers running evals to the executives funding the program to security, legal, and procurement
- Win lighthouse customers that become references for their entire industry
- Partner with forward-deployed engineering on technical evaluations, POCs, and architecture reviews
- Feed signal back to product and engineering. What enterprises need next is a roadmap input we don't get anywhere else
REQUIREMENTS
- 8+ years of enterprise B2B sales experience in technology, ideally infrastructure, API/platform, or developer tooling
- A track record of closing seven- and eight-figure deals by navigating multi-stakeholder buying committees and long, complex cycles
- Demonstrated ability to run a consultative sale. You've helped customers define a strategy, not just evaluate a product
- Strong technical acumen: you can hold your own on model serving, GPU infrastructure, latency, and API architecture
- Experience selling into large digital natives or regulated industries (financial services, healthcare/life sciences, insurance, government)
- Excellent communication and comfort with high autonomy in a fast-moving environment
NICE TO HAVE
- Direct experience selling AI/ML infrastructure, cloud compute, or model deployment platforms
BENEFITS
- Competitive compensation, including meaningful equity
- (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents
- Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)
- Paid parental leave
- Fertility and family-building stipend through Carrot
- (U.S. only) Company-facilitated 401(k)
- Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.
Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.
At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.
We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).
Location: Germany
Warum unser Kunde?
Sicherheit ist heute ein zentraler Bestandteil moderner Gebäude, Netzwerke und Identitäten. Unser Kunde entwickelt Lösungen, die dazu beitragen, dass Menschen sich sicher bewegen, arbeiten und geschützt bleiben.
Als Teil einer international führenden Unternehmensgruppe verbindet das Unternehmen Hardware, Firmware und Cloud-Services zu integrierten Lösungen, die weltweit täglich im Einsatz sind – zuverlässig, skalierbar und technologisch relevant.
Wenn Sie Technik verstehen, gerne Menschen überzeugen und lieber aktiv mitgestalten als nur reagieren, finden Sie hier ein spannendes Umfeld mit echter Wirkung.
Ihre Wirkung im Job:
• Kunden befähigen: Zeigen Sie, wie aus Technologie konkrete Lösungen und Vertrauen entstehen – von der ersten Beratung bis zum Proof of Concept.
• Lösungen erlebbar machen: Führen Sie Demos durch, präsentieren Sie Innovationen und machen Sie komplexe Technologien für Partner und Kunden greifbar.
• Märkte verstehen: Erkennen Sie Chancen früh, teilen Sie Ihr Wissen und bringen Sie neue Impulse ins Team ein.
• Vernetzt arbeiten: Sie bewegen sich sicher zwischen Kundenterminen vor Ort und technischen Workshops online – regional und international.
• Zukunft mitgestalten: Unterstützen Sie den weiteren Ausbau der Präsenz in der DACH-Region und setzen Sie technische Standards mit nachhaltiger Wirkung.
Was Sie mitbringen:
• Abgeschlossenes Studium im Bereich Elektrotechnik, IT, Netzwerksicherheit oder eine vergleichbare Qualifikation.
• Mindestens 3 Jahre Erfahrung im Pre-Sales, System Engineering oder in der technischen Kundenberatung – idealerweise mit Access Control, Security Systems oder IoT-Lösungen.
• Fähigkeit, komplexe Themen klar, ruhig und überzeugend zu erklären.
• Interesse an RFID-, Smartcard- oder Cloud-Technologien.
• Sehr gute Deutsch- und Englischkenntnisse.
Klingt nach der Herausforderung, die Sie gesucht haben?
Dann bewerben Sie sich jetzt und gestalten Sie gemeinsam mit unserem Kunden die Zukunft moderner Sicherheitslösungen.
🌍 Werden Sie Teil eines international erfolgreichen Unternehmensumfelds – und öffnen Sie Türen zu neuen technologischen Möglichkeiten.
Über die Unternehmensgruppe
Unser Kunde gehört zu einer weltweit etablierten Unternehmensgruppe im Bereich Zugangs- und Sicherheitslösungen. Mit mehreren zehntausend Mitarbeitenden in zahlreichen Ländern gestaltet die Gruppe Lösungen, die physische und digitale Räume sicherer, effizienter und leichter zugänglich machen.
Als Arbeitgeber legt die Unternehmensgruppe Wert auf Ergebnisse, Entwicklung und Perspektiven – unabhängig von Titeln oder klassischen Karrierewegen. Mitarbeitende erhalten regelmäßiges Feedback, Trainingsangebote und vielfältige Entwicklungsmöglichkeiten auf lokaler, regionaler und internationaler Ebene.
Unterschiedliche Perspektiven, Erfahrungen und ein inklusives Miteinander sind dabei ein wichtiger Bestandteil der Unternehmenskultur.
Location: Washington, DC
Workplace: Hybrid
WHO ARE WE?
Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems.
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that.
We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft.
We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us!
Why this role?
In this role as a Solutions Architect at Cohere, you will play a significant role in growing Cohere’s Public Sector business and have a great deal of autonomy when it comes to technical pre-sales and post-sales.
In order to qualify for this exciting career opportunity, you must have a Security Clearance.
Responsibilities include developing a deep understanding of customer problems, mapping them to Cohere solutions, and working closely with our partners as the trusted technical advisor who owns the technical relationship with our stakeholders. By leveraging your expertise, you will help to increase the adoption of Cohere products, both internally and externally, and will gather valuable insights and feedback from customers to help shape the future of our products.
In this dynamic role, you will need to be both a strategic thinker and a hands-on doer. You will take a hands-on approach to building customer Proof of Concepts that showcase the business value of our platform. As the technical relationship owner, you will collaborate with stakeholders to understand their business objectives and translate those into technical solutions. You will take ownership of the customer narrative, serving as the voice of the customer and acting as a liaison between the customer and our product team. Additionally, you will provide guidance on best practices for using Cohere, identify areas for improvement within the platform, and cultivate technical champions within customer organizations to drive adoption and gather feedback to enhance our products.
A typical day at Cohere might include:
- Leading the technical talk track on customer calls.
- Deep dives on customer problems and Cohere technology.
- Designing novel enterprise solutions with bleeding-edge NLP technology.
- Facilitating customer evaluations and PoC’s.
- Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere.
- Collaborating with the Product and Engineering teams to ensure our offering matches the customers’ needs.
- Working closely with our partners to develop a strategy for enabling and accelerating their customers.
This career opportunity is a good match for you if you have:
- Must have: Security Clearance
- 5+ years of public sector customer-facing technical pre/post sales Solutions Architect (or similar) experience.
- 2+ years architecting or deploying NLP/AI/LLM Solutions.
- A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies.
- Comfortable working with Python and Jupyter Notebooks.
- Excellent communication skills - you can toggle seamlessly between presenting to CEOs, and getting in the weeds or white boarding with technical audiences.
- High tolerance for ambiguity.
- You can identify and implement high-impact processes in unstructured environments.
- Preferred: Experience managing Kubernetes clusters
- Preferred: Experience with networking (firewalls, DNS, cert management, etc)
- Preferred: Familiarity with authentication protocols/frameworks (SAML, OAuth, etc)
Cohere is committed to fair and transparent pay practices. The salary range listed for this role reflects the expected base compensation. Actual compensation offered will be determined by factors such as location, level, job-related knowledge, skills, education, and experience.
FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS:
- A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch.
- Full health and dental benefits, including a separate budget for mental health.
- RRSP matching, 401K, Pension Scheme.
- 100% Parental Leave top-up for up to 6 months, for either parent.
- Annual enrichment benefits:
Arts & culture, fitness/wellness, quality time, and a workspace improvement credit.
Education & learning stipend for conferences, courses, and coaching.
- 6 weeks of paid vacation (30 working days!)
- Budget for traveling to other offices if you are remote, plus an annual company offsite.
HOW AND WHERE WE WORK:
- Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon.
- For those in the office: a daily lunch program, plenty of snacks, and regular community and social events.
- For those not near an office: a co-working benefit so you can work alongside others in your city.
- Everyone receives a $500 home office stipend to set up your workspace properly.
If any of the above doesn’t line up exactly with your experience, we still encourage you to apply.
We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs.
We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.
Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.
Location: Hong Kong, Hong Kong SAR
Who We Are
At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom.
OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves.
Across our multiple offices globally, we are united by our core principles:
We Before Me
,
Do the Right Thing
, and
Get Things Done
. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er.
OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more.
About the Opportunity
As an Infra Product Manager, you will be responsible for the design, development, and lifecycle management of Web3 cross-business infrastructure products, with a focus on core components such as central data services, market data systems, labeling systems, asset category management, and algorithm platforms for Wallet, DEX and other businesses. You will collaborate closely with engineering, data, and business teams to ensure products meet the performance, security, and scalability requirements of Web3 businesses. This role demands strong product thinking, technical depth, and insight into the Web3 industry to help the team build an efficient and reliable Web3 Infra system.
What You’ll Be Doing
Central Data Services Management
: Oversee the design of central data services for Web3 cross-business domains, including data collection, integration, storage, querying, and distribution. Ensure real-time data accuracy, security, and support for complex business needs and multi-platform environments.
Market Data System Development and Optimization
: Contribute to the product design and iteration of a universal market data system, delivering real-time market data (e.g., price, trading volume, liquidity metrics). Support API and front-end integration while optimizing system performance for high-concurrency scenarios.
AI Trading Products
: Able to design DEX AI Trading Products based on trading strategies, meme tokens, smart money signals, and leverage the latest AI technologies (AI Agent, LLM etc.)
DeFi
Native:
Have a solid understanding of Web3, including its core concepts, underlying blockchain technologies, and emerging ecosystems such as DeFi, NFTs, DAOs, and Layer 2 solutions. Stay closely informed about the latest industry trends, market dynamics, and technological developments, with the ability to quickly assess and adapt to new protocols, products, and narrative shaping space.
Onchain Data and Smart Contract Analysis
: Conduct research on smart contracts, understand how Dapps and protocol works, design and improve product infra performance based on the protocol underlying mechanics, make sense of the onchain data whenever necessary.
Algorithm Development and
Improvement
: Design and iterate an algorithm to support on-chain data analytics, trading signal discovery, and risk control scenarios. Manage the integration, testing, and deployment of algorithm models to ensure efficiency and reliability of outputs. Collaborate with data analysts and data scientists to integrate machine learning or on-chain analytics models, elevating the intelligence of Infra products.
What We Look For In You
Education
: Bachelor’s degree or above in Computer Science, Software Engineering, or a related field.
Work Experience
: At least 5 years of experience as a Product Manager. Preference for candidates with Web3 industry experience or expertise in infrastructure products (e.g., data services, labeling platforms, algorithm platforms).
Technical Skills
:
Experience with blockchain fundamentals, including smart contracts, on-chain data analysis, consensus mechanisms, and cross-chain technologies.
Familiar with onchain and web3 ecosystems, a genuine passion for the crypto industry and proactive engagement with the community are highly valued.
Proficiency in product management and system-design thinking is strongly preferred.
Proficiency in AI technology, Agent, LLM, and AI application experience is a huge plus.
Basic knowledge of algorithm platforms; familiarity with machine learning models or data analytics workflows is preferred.
Soft Skills
:
Excellent communication and collaboration skills, with the ability to effectively bridge business and technical teams.
Strong user-oriented mindset, capable of designing products based on user pain points.
Robust problem-solving skills and the ability to make quick decisions in uncertain environments.
Fluent in English and Chinese.
Nice to Haves
Knowledge of Web3-related products and deep technical understanding of blockchain, smart contracts, and related technologies.
Experience with on-chain trading and an understanding of on-chain opportunity discovery processes.
Familiarity with tokenomics and an understanding of economic incentive mechanisms in the Web3 space.
Perks & Benefits
Competitive total compensation package
L&D programs and Education subsidy for employees' growth and development
Various team building programs and company events
Wellness and meal allowances
Comprehensive healthcare schemes for employees and dependants
More that we love to tell you along the process!
Please note that Hong Kong is a group-level service hub, and
OKX
does not carry on a business of operating a virtual asset trading platform in Hong Kong
#LI-MX1
#LI-ONSITE
Notice:
All official
OKX
vacancies are published on this website.
While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated.
If in doubt, please apply directly through our official careers website.
Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to
OKX
's
Candidate Privacy Notice
.
Singapore
УдалённоГеография найма не уточнена
Не хотите искать каждый день?
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Настройте подбор, и подходящие вакансии будут приходить в Telegram.
Brazil; For applicants from the European Union, please review
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
ОфисBoston, MA
УдалённоseniorUSA
ГибридSan Francisco; We use an in-person work model and offer relocation assistance to new employees
Washington, DC
seniorHong Kong, Hong Kong SAR; Singapore, Singapore
ГибридNew York
УдалённоGermany
География найма не уточнена
ГибридСША; We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities
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