Location: Remote
Workplace: Remote
STAFF PRODUCT MANAGER, PRODUCT DISCOVERY ENGINE
ABOUT US
Constructor powers product search and discovery for some of the largest retailers in the world. We serve billions of requests every week, and you’ve probably seen our results somewhere and used our product without knowing it. We differentiate ourselves by focusing on metrics over features, and reinventing search and discovery from the ground up as a machine learning challenge with the specific goal of improving metrics like revenue. We’re approximately doubling year over year despite the market slowing down and have customers in every eCommerce vertical. We’re a passionate team of technologists who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they think is best can lead to great things.
JOB SUMMARY
We’re looking for a systems-minded Staff Product Manager to take Constructor’s search and discovery to the state of the art — and keep it there — across every retail industry we serve. This is a highly technical, high-leverage role at the core of our Product Discovery Engine chapter: the teams responsible for how we retrieve, understand, and rank the right products for every shopper, on every query, for every customer.
Your job is to raise discovery quality and, through it, our customers’ business metrics. You won’t be measured on features shipped — you’ll be measured on relevance and business outcomes, like conversion, revenue per visit, and search-attributed GMV, moving up.
You’ll start embedded with our Search Quality team, owning its strategy and roadmap and getting deep into the systems that decide what shoppers actually see. Over time, your mandate grows to setting direction for the entire Product Discovery Engine chapter — deciding where we’re heading and why across recall, ranking, query understanding, personalization, and the ML infrastructure underneath. This is a Staff role today with a clear path to Director as you take on chapter-wide leadership.
Search at Constructor is fundamentally a machine learning problem, so this role lives and breathes ML. You’ll partner closely with ML, data science, and engineering to turn the latest research into production wins, keep us ahead of both commercial competitors and academic state of the art, and be the connective tissue that aligns multiple teams — ML Recall, ML Infra, and, over time, teams like CORE, SABR, and Catalog Management — behind a single, coherent vision for great discovery.
If you’re excited about driving innovation across dozens of the world’s largest retailers, being held to relevance and business outcomes, and pushing an already best-in-class product further ahead, this role is for you.
WHAT YOU’LL DO
- Own business impact, not features. Drive measurable lift in search-attributed conversion, revenue per visit, and GMV alongside relevance across our customer base.
- Deliver across every retail industry. Move quality and business metrics across all the verticals we serve, accounting for the differences in catalog, language, and shopper intent.
- Keep us at the state of the art. Continuously translate the latest ML / IR research and competitive moves into production wins, and ship SOTA ML / LLM-assisted capabilities that beat our previous best on relevance.
- Set chapter vision and strategy. Define the multi-quarter direction for the Product Discovery Engine — where we’re heading and why — tie it directly to customer business outcomes, and rally teams behind it.
- Lead Search Quality first. Own its strategy and roadmap, driving measurable improvements in the relevance and correctness of results.
- Orchestrate across the pipeline. Unify recall, ranking, query understanding, and personalization behind one definition of quality and one set of business metrics, so improvements compound instead of colliding.
- Turn ML research into production wins. Partner deeply with ML and data science to take models — from candidate generation and recall to LLM-assisted interpretation — from idea to production, balancing accuracy, latency, and cost.
- Make quality measurable and explainable. Build the metrics, evaluation frameworks, and tooling the whole chapter uses to measure, attribute, and explain discovery quality and its business impact.
- Own quality under pressure. Lead investigation and triage when issues arise, and design durable, systemic fixes rather than one-off patches.
- Grow the mandate. Expand into chapter-wide leadership spanning ML Recall, ML Infra, and — over time — teams like CORE, SABR, and Catalog Management.
WHAT SUCCESS LOOKS LIKE
Within your first year, you will have:
- Driven measurable lift in search-attributed conversion and revenue per visit — moving business metrics, not just quality metrics.
- Driven measurable business-metric lift (conversion, revenue per visit, GMV) and relevance lift across every major retail vertical we serve.
- Shipped at least one state-of-the-art ML / LLM-assisted capability into production that beats our previous best on relevance.
- Won head-to-head quality benchmarks against every major competitor in the verticals we compete in, with a repeatable, defensible methodology.
- Taken core quality metrics to best-in-class levels and kept them improving quarter over quarter.
- Stood up an evaluation framework and tooling that ties model and system investments directly to customer business outcomes.
WHAT WE’RE LOOKING FOR
- Extensive product management experience (typically 8+ years) in search, discovery, ML, or NLP-heavy products, including time operating at a senior or staff level.
- A track record of moving business metrics at scale — conversion, revenue, engagement — not just shipping features, and of setting strategy across multiple teams.
- Deep understanding of the end-to-end search pipeline: query interpretation → recall / candidate generation → ranking → reranking → personalization → delivery.
- Strong ML product depth — owning production models and reasoning about tradeoffs between high-capacity (LLM / batch) and low-latency (real-time) approaches — and a habit of staying current with state-of-the-art research.
- Fluency with retrieval and recall, query understanding (tokenization, synonyms, spelling correction, multilingual support), and search evaluation frameworks.
- A rigorous, measurement-first mindset that ties every quality investment back to business outcomes.
- Excellent cross-functional leadership — able to align teams with different goals behind a shared definition of quality and a shared set of business metrics, working shoulder-to-shoulder with engineering, data science, and ML Ops.
- Comfort operating with ambiguity, setting direction where none exists yet, and leading through clarity and credibility rather than the org chart.
BENEFITS
- Unlimited vacation time — we strongly encourage all of our employees to take at least 3 weeks per year.
- A competitive compensation package including stock options.
- Company-sponsored US health coverage (100% paid for employee).
- Fully remote team — choose where you live.
- Work-from-home stipend! We want you to have the resources you need to set up your home office.
- Apple laptops provided for new employees.
- Training and development budget for every employee, refreshed each year.
- Parental leave for qualified employees.
- Work with smart people who will help you grow and make a meaningful impact.
This position is fully remote — Constructor.io http://Constructor.io is a remote-first company.
DIVERSITY, EQUITY, AND INCLUSION AT CONSTRUCTOR
At Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Remote - Worldwide
Workplace: onsite
Coinspaid Dev is the engineering brand behind the technology, infrastructure, and R&D expertise built within Coinspaid. With more than 120 engineersand over 11 years of industry experience, Coinspaid Dev brings together software engineering, infrastructure, security and R&D teams with experience building distributed systems and blockchain infrastructure operating across more than 20 blockchain networks.
Coinspaid Dev emerges as an independent engineering brand with a straightforward mission: to advance blockchain infrastructure engineering and contribute practical expertise back to the industry. The structure is new. The experience behind it is not.
Position Description:
We are looking for a Principal QA Engineer to take ownership of a company-wide QA system and lead its continued development. You will dive into the current processes, leadership model, automation and tooling direction, quality controls, and improvement roadmap; challenge existing approaches where needed, and drive the next stage of maturity across engineering domains. We need a senior technical leader who sees Quality Engineering as an engineering system, connects business and technical risks with practical changes in the SDLC, test architecture, automation, environments, release quality, and metrics, and turns systemic problems into measurable and sustainable improvements. This is a senior individual contributor role working primarily through QA Technical Leads and Senior QA Engineers and partnering with Engineering Managers, Product, Architecture, and DevOps/SRE, while remaining hands-on in high-impact reviews, pilots, and critical investigations.
Responsibilities:
Take ownership of the company-wide Quality Engineering strategy, operating model, and improvement roadmap; continue evolving them as products, risks, and organizational needs change.
Assess Quality Engineering maturity across domains, identify systemic bottlenecks and inconsistencies, and prioritize the improvements with the highest company-wide impact.
Define and evolve cross-domain standards and guardrails for test architecture, coverage, quality evidence, testability, observability, release readiness, and production validation.
Drive continuous improvement of the end-to-end QA process and embed shift-left practices, quality controls, and risk-based gates across the SDLC together with Product, Engineering, Architecture, and DevOps/SRE.
Own the strategic direction of the QA toolchain and automation architecture, and validate key technical decisions hands-on through code, prototypes, and architecture reviews across UI and backend automation. Python is preferred, while Go, Node.js, or another suitable stack is also relevant.
Continuously benchmark market practices and emerging technologies, including AI; validate ideas through experiments and turn successful findings into company-wide transformation initiatives such as framework modernization, contract and performance testing, smarter test selection, and cloud-native test environments. Actively use AI in daily engineering work and advance its adoption across QA.
Define scalable release-quality principles and provide technical recommendations for systemic, cross-team, or ambiguous quality risks.
Lead cross-team investigations and root-cause analysis for critical incidents, unstable environments, systemic automation failures, and quality problems without a clear owner.
Establish meaningful quality metrics and make trends, risks, technical debt, and improvement outcomes visible to engineering leadership.
Develop QA Technical Leads as domain-level technical owners, strengthening their ability to translate company-wide direction into sustainable practices and decisions within their domains.
Influence, align stakeholders, and translate business, regulatory, and operational risks into clear engineering priorities.
Requirements:
8+ years in Quality Assurance / Quality Engineering, including technical leadership across multiple teams or domains.
Experience defining QA strategy, standards, or large-scale transformations with measurable results.
Deep knowledge of Quality practices risk-based testing, coverage strategy, shift-left, quality gates, testability, release readiness, and production quality signals.
Strong hands-on programming experience and the ability to design and contribute to scalable UI and backend automation. Python is preferred, but strong experience with Go, Node.js, or another relevant stack is welcome.
Strong experience with distributed backend systems, REST APIs, event-driven workflows, third-party integrations
Experience with CI/CD, Docker/Kubernetes, cloud-native or GitOps environments, and observability tools.
Ability to define useful quality metrics, communicate technical risk, and influence senior stakeholders
A research-driven mindset, practical experience evaluating new technologies, and confident, responsible, and active use of AI tools in everyday engineering work.
Good spoken and written English and Russian.
Nice to have:
Experience in fintech, crypto, payments, compliance, financial operations, or another regulated domain with complex integrations and high operational risk.
Experience with Kafka, MQ, Debezium, ledger-like systems, eventual consistency, and event-driven architecture.
Experience with contract, performance, load, resilience, or reliability testing.
Why join CryptoProcessing by Coinspaid
You’ll be joining a company that is actively shaping its space – with enough scale to matter and enough room to make an impact.
At Coinspaid, people are expected to think, contribute, and take ownership – and are supported in doing so.
We focus on flexibility, wellbeing, and long-term growth – without overcomplicating how benefits work.
Flexible Benefits
Benefit Bar – up to €230/monthA flexible monthly budget you can use for what matters most to you – from sports and mental health to coworking, home office, or medical-related expenses.
Work & Flexibility
Fully remote work from almost anywhere
Optional offices and relocation support
Flexible, async-friendly environment
Growth & Learning
Budget for courses, certifications, and professional development
Language learning support
Cross-team learning and knowledge sharing
Wellbeing & Support
Medical insurance or reimbursement depending on location
Access to mental health support
Financial support for important life events
Extras
Merch shop with rewards system
Team offsites and company events
Sounds good? Well then, we can’t wait to see your resume!
To learn more please visit: https://coinspaid.com/about-us/ & https://coinspaid.com/careers/
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ClickUp's mission is to make the world more productive. We help teams bring work together in one workspace so they can focus on meaningful outcomes. As an Senior Strategic Finance Specialist in FP&A, you'll partner with leaders across Sales, Ecosystem, and Revenue Operations. You'll build the forecasts, models, and analysis that help these teams understand performance, make investments and decisions, and grow efficiently.
The Role
- Partner with Sales, Ecosystem, and Revenue Operations to understand business priorities and translate them into financial forecasts and analysis.
- Build and maintain financial models and forecasts that help GTM leaders evaluate plans, assumptions, performance, and investment choices.
- Own recurring reporting, explain material trends or variances, and make the financial story clear to business partners.
- Investigate ad hoc questions behind the numbers and turn the findings into practical recommendations for target attainment and efficient growth.
- Work with stakeholders to validate assumptions, improve the clarity and consistency of reporting, and support sound day-to-day decisions.
Required Qualifications
- 1-2 years of experience in FP&A, strategic finance, financial analysis, or a related analytical role, with examples of supporting business decisions.
- Hands-on experience using AI tools and building AI-powered workflows to streamline financial analysis, reporting, or forecasting, with the ability to validate outputs for accuracy and translate results into actionable business insights
- Strong financial modeling, forecasting, and spreadsheet skills, including the ability to organize data and check work for accuracy.
- Experience producing recurring reporting or variance analysis and explaining what the results mean for the business.
- Clear written and verbal communication, with the ability to make complex financial information understandable to non-finance partners.
- Strong judgment, attention to detail, and ability to manage multiple requests in a collaborative, fast-moving environment.
Desirable Qualifications
- Experience supporting SaaS or technology teams, especially across multiple go-to-market functions.
- Familiarity with financial planning systems or analytics tools such as Pigment, Adaptive, Anaplan, SQL, or business intelligence platforms.
- Experience assessing resource allocation, investment choices, or the relationship between operating metrics and financial results.
#LI-SM1
#LI-Remote
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Lithuania
Workplace: hybrid
About the Client
Our client is a payment services provider offering online payment solutions to businesses internationally. Its work includes merchant onboarding and ongoing customer due diligence.
Role Overview
Take ownership of complex KYC/KYB reviews and help shape risk-based decisions on merchant relationships. You will investigate higher-risk cases, assess the evidence behind corporate structures, and work closely with the MLRO to reach clear, documented conclusions.
Key Responsibilities
Review KYC/KYB files prepared by onboarding specialists for completeness, accuracy, and supporting evidence.
Conduct enhanced due diligence on high-risk merchants, analyse ownership structures across jurisdictions, and identify ultimate beneficial owners.
Assess source of funds and source of wealth documentation.
Perform in-depth sanctions, PEP, and adverse media screening.
Evaluate corporate client risk, including processing volumes, chargeback exposure, and high-risk business models.
Prepare structured conclusions and recommendations for the MLRO, escalating cases when needed.
Work with onboarding colleagues to close gaps in client files and improve due diligence quality.
Recommend restrictions or termination of client relationships when risks cannot be adequately mitigated.
Requirements
At least 2-3 years of hands-on AML, KYC/KYB, and EDD experience in payments or banking.
Experience with merchant acquiring and high-risk merchants is a strong advantage.
Practical experience reviewing corporate clients and independently analysing complex or higher-risk cases.
Strong understanding of AML/CTF requirements, EU sanctions regimes, and UBO identification.
Fluent English.
Based in Lithuania and available to work hybrid from the Vilnius office.
Key Soft Skills
Critical assessment of evidence, with the ability to spot red flags and reach reasoned, documented conclusions.
Ability to write clear compliance reports.
A proactive approach, sound judgement, and ownership of your work.
What We Offer
A senior specialist role with ownership of complex due diligence cases.
Close collaboration with the MLRO and an international team.
Opportunities for professional development in AML and compliance.
Hybrid working in Vilnius.
Compensation based on experience and expertise.
Location: Sarajevo; Tuzla; Zenica; Mostar; Bihać; Brčko; Travnik; Banja Luka; Bijeljina; Gračanica; Prijedor; Trebinje; Visoko; Cazin; Doboj
Workplace: remote
We are looking for AIConversation Recording Contributors to join a Bosnian speech data collection project and help support the evaluation and development of the next generation of AI technologies.
Job Type: Freelance
Location: Work from home
Work Schedule:Flexible, task-based work (approximately 2–4 hours daily)
Project Duration: TBC
Start Date: Immediately
Rate: 7 USD/hour
Help Shape the Future of AI
This short project offers an opportunity to evaluate and improve speech recognition and conversational AI technologies by providing spontaneous speech collected from real-life situations.
How Your Recordings Will Be Used
The collected recordings, annotations, and related metadata will be used to evaluate the spontaneous speech capabilities of speech-enabled AI models. The compiled data may be reviewed for quality and incorporated into datasets used for research, development, testing, and improvement of AI systems.
What You’ll Do
Record or collect natural, spontaneous speech in accordance with the project guidelines.
Participate in or capture speech from approved real-life situations, such as workplace conversations or casual one-on-one discussions.
Complete individual or two-person conversational speech tasks, or participate in voice or voice-text interactions with an AI or machine-based system.
Annotate collected speech data according to the instructions provided.
Provide the required information and metadata related to each recording.
What We’re Looking For
Native-level fluency
in
Bosnian.
Authentic pronunciation and strong familiarity with the target language through everyday use.
Advanced level of
English
to understand written instructions.
Contributors must not imitate dialects or accents that are not their own.
Experience with speech recording or data annotation projects is an advantage, but not required.
Strong attention to detail when providing annotations and recording metadata.
Ability to follow detailed project and recording instructions.
Technical Requirements
Quiet room or recording space with minimal background noise.
Computer microphone or headset with microphone.
Reliable internet connection.
Ability to access and use an online recording platform.
What We Offer
Flexible, remote work.
Timely and reliable payments.
Opportunity to contribute to cutting-edge AI technology.
Access to future language and AI-related projects.
A flexible engagement ideal for gaining experience with AI data collection projects.
#LI-CAN17
Vendor Type
When applying, please select the option that best describes your working status.
Are you a Freelancer or Private Individual?
A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to a registered business in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual.
RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.
Location: Remote
Work with the Best
Orderly Network is a combination of an orderbook-based trading infrastructure and a robust liquidity layer offering spot and perpetual futures orderbooks. Unlike traditional platforms, Orderly doesn’t have a front end; instead, it operates at the core of the ecosystem, providing essential services to projects built on top of it.
Our DEX white-label solution is carefully crafted to save builders time and capital while granting access to our bootstrapped liquidity. Picture having the best features of CEXs while keeping settlements on-chain and maintaining full self-custody.
With Orderly, anyone can create a trading application thanks to our seamless plug-and-play experience leveraging our liquidity and composability.
Looking ahead, our grand vision is to create an omnichain protocol, connecting traders from both EVM and non-EVM chains within the same orderbook.
A Glimpse into Your Future at Orderly Network
Orderly's Partnership team accelerates the growth of our ecosystem by identifying, engaging, and supporting builders and partners who build on top of Orderly's infrastructure. In this role, you will be the driving force behind expanding our partner ecosystem — building and managing a robust pipeline of prospective partners, tracking relationship progress through structured CRM workflows, and ensuring partners are activated and growing on Orderly.
This is a hands-on, high-ownership role for someone who thinks in systems — who can apply internet-era frameworks (funnel management, data-driven tracking, automated workflows) to relationship building and pipeline management at scale.
What will you be working on?
Identify and engage prospective partners across English-speaking markets, prioritizing relationships that can generate trading activity, trading volume, and long-term business value.
Build relationships with project teams, trading communities, affiliates, KOLs, brokers, exchanges, and other relevant partners to develop scalable acquisition channels.
Manage the full BD lifecycle, from prospecting and outreach to negotiation, onboarding, activation, and ongoing performance management.
Develop and execute partnership initiatives across English-speaking markets, taking local market dynamics and business opportunities into account.
Track partner performance and evaluate the impact of partnerships on trading volume, user acquisition, revenue, and other relevant business metrics.
Maintain an accurate partner database and use CRM tools, spreadsheets, and structured follow-up processes to manage opportunities efficiently.
Work with Marketing, Product, Operations, and BD colleagues to execute growth initiatives and improve partner activation and retention.
Monitor industry developments, identify emerging opportunities, and continuously refine outreach and partnership strategies.
About you
2+ years of relevant experience in crypto BD, partnerships, affiliate growth, or business development at a trading platform or related business.
Professional English proficiency is required, including the ability to communicate effectively with international partners in business discussions and negotiations.
An established and actionable network of project teams, trading communities, affiliates, KOLs, brokers, or other relevant partners.
Evidence of business impact: You can explain how your previous work generated trading volume, activated partners, acquired users, or contributed to revenue.
Strong relationship-building and negotiation skills, with the ability to turn initial conversations into active partnerships.
A data-driven mindset: You are comfortable managing pipelines, tracking conversion, analyzing partner performance, and prioritizing opportunities based on business impact.
A strong sense of ownership: You are proactive, entrepreneurial, adaptable, and comfortable operating in a fast-moving environment.
Excellent communication and follow-through: You can manage multiple stakeholders, set clear expectations, and maintain consistent follow-up.
A collaborative approach: You work effectively with cross-functional teams while taking responsibility for your own goals and deliverables.
Nice to have
Experience in CEX, DEX, perpetual futures, CFD, or other trading-related businesses.
A demonstrated ability to bring in active traders, trading volume, or high-value strategic partners.
Established relationships and strong market knowledge in English-speaking markets.
Experience building partnerships across multiple regions or market segments.
Interested in Learning More?
Our hiring process begins by meeting with our People Team, who help facilitate the process of placing you in your new role. You can expect to share your experience and ideas in online video interviews with our hiring team, made up of management and potential new colleagues.
If you have experience in developing trading systems or financial-related products is a plus.
You can prepare for this interview by mentally organizing your strategies and opinions on topics such as Web3, cryptocurrency trading platforms, and your vision of how to succeed.
Share this! Don’t be afraid of friends or co-workers stealing this job! If you are amazing and smart we will find a place for you. Check out our
External Referral Incentives Program
as well.
Location: United States
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency.
Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization.
In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.
THE OPPORTUNITY
- Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic
- Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication
- Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows
- Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes
- Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time
- Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results
- Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems
- Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.
WHAT YOU BRING
- 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment
- Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems
- Strong Python and SQL skills, with experience building and supporting production data or analytical systems
- Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making
- Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD
- Solid statistical foundation; ML exposure is a strong plus
- Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards
- Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders
- You believe wholeheartedly in the values outlined in Kraken's Tentaclements document
- A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics
- Based in Canada, the US, or Brazil, and fluent in English
NICE TO HAVES
- Fraud detection, AML, anomaly detection, or other risk applications
- Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack
- Transaction pattern analysis, customer segmentation, and detection threshold tuning
- Developing or productionising machine learning models, including experiment tracking and performance monitoring
- Working with sparse or delayed feedback from investigations to evaluate and improve detection
- Explainability, auditability, and change control in regulated environments
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Canada; Brazil
Workplace: Remote
BUILDING THE FUTURE OF OPEN FINANCE
Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system.
THE TEAM
Founded in 2011, Kraken is one of the world's longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.
We're looking for a Sr. Data Analyst, Compliance to join our team remotely! The primary goal of this role is to elevate decision-making by uncovering emerging trends and root causes, and by driving insights and actions that provide full visibility into business performance and operational efficiency.
Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with strategic thinking to deliver actionable recommendations, guide decision-making, and drive measurable impact across the organization.
In this role, you'll own end-to-end data management, from building and maintaining datasets and pipelines to designing dashboards and delivering insights for the Compliance team. A core part of this role is owning the logic and rule-setting behind transaction monitoring across deposits and withdrawals. You'll also contribute to experimentation infrastructure, laying the groundwork for future ML and intelligence initiatives.
THE OPPORTUNITY
- Own the logic and rule-setting behind transaction monitoring across deposits and withdrawals, partnering closely with Compliance to study patterns and refine detection logic
- Translate compliance requirements into production detection logic, preserving correctness across alert eligibility, thresholds, customer segmentation, date windows, and deduplication
- Develop and maintain Python and SQL pipelines for transaction data preparation, feature engineering, and detection workflows
- Evaluate detection rules and analytical models across coverage, alert quality, threshold sensitivity, and the impact of proposed changes
- Design reproducible evaluations on historical data that account for limited labels, class imbalance, and shifts in customer behaviour over time
- Own testing, deployment, scheduling, monitoring, and operational support for detection workflows, including investigating data quality issues, pipeline failures, and unexpected changes in detection results
- Execute historical backfills with clear validation and traceability, and maintain reliable downstream alert delivery and integrations with compliance systems
- Be at the forefront of data innovation by experimenting, testing hypotheses, and translating insights into action, while incorporating software engineering best practices into pipelines and dashboards.
WHAT YOU BRING
- 7+ years of experience in data analysis, data science, and data management within the fintech, crypto, financial services, or gambling industry, gained in a fast-paced, high-growth environment
- Experience working with compliance, fraud, funding, finance, and customer support teams and analyzing large datasets, engineering features, and applying statistical methods to practical business problems
- Strong Python and SQL skills, with experience building and supporting production data or analytical systems
- Hands-on experience using dbt or similar tooling to model and organize high-fidelity data for reporting and decision-making
- Experience setting up and managing data pipelines with a strong understanding of workflow orchestration, plus strong software engineering practices including version control, automated testing, code review, and CI/CD
- Solid statistical foundation; ML exposure is a strong plus
- Proficiency with BI and data visualization tools (e.g., Hex, Tableau, Power BI, or similar) to build executive-facing dashboards
- Ability to investigate production issues independently and communicate technical findings and uncertainty to non-technical stakeholders
- You believe wholeheartedly in the values outlined in Kraken's Tentaclements document
- A degree in a field emphasizing analytical rigor, such as analytics, software engineering, statistics, or economics
- Based in Canada, the US, or Brazil, and fluent in English
NICE TO HAVES
- Fraud detection, AML, anomaly detection, or other risk applications
- Experience with Athena, Trino, Kafka, and Kubernetes alongside the core Airflow/dbt/S3 stack
- Transaction pattern analysis, customer segmentation, and detection threshold tuning
- Developing or productionising machine learning models, including experiment tracking and performance monitoring
- Working with sparse or delayed feedback from investigations to evaluate and improve detection
- Explainability, auditability, and change control in regulated environments
Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.
Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.
We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
OUR COMMITMENT
Payward is powered by people from around the world and we celebrate the diverse talents, backgrounds, contributions, and unique perspectives that everyone brings to the table. We hire based on merit, seeking out people with the right abilities, knowledge, and skills for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgeable about crypto.
We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.
As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.
Stay connected
Follow us on X https://twitter.com/krakenfx
Learn on the Kraken Blog https://blog.kraken.com/#:~:text=Enter%20your%20email%20address
Connect on LinkedIn https://www.linkedin.com/company/kraken-exchange/
Candidate Privacy Notice https://www.kraken.com/legal/candidate-privacy-notice
Location: Israel (Remote)
Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at
grafana.com
and follow us on
LinkedIn
and
X
.
We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do.
You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity.
Make a difference.
The Solutions Engineering team are the customer facing product experts. The team enables Grafana Labs worldwide growth by educating potential and existing customers to ensure that they are happy and successful. We share our technical and product expertise with customers through demos, hands on enablement, presentations, technical evaluations and ongoing interaction. We partner closely with our Sales team to help qualify and close opportunities. The Solutions Engineering team is one of the primary routes of communication from our customers to the Product Management and Engineering teams.
A Solutions Engineer is able to really listen to a prospect or customer, understand their requirements, ask the right questions to extract as much information as required and translate all that into a solution with Grafana Labs technology. They are the bridge between the highly technical engineering folks here at Grafana Labs, our customers and our Sales team.
Your Impact:
Partner with our Sales team to articulate the overall Grafana value proposition, vision and strategy to customers
Own the technical engagement with customers and help close complex opportunities through advanced competitive knowledge, technical skill and credibility
Deliver product and technical presentations to potential and existing customers
Effectively communicate with customers and internal teams to provide feedback on our products and the competitive landscape
Drive product conversations based on need and problems with customers
Work with the team to enhance documentation, write blog posts, record videos, contribute knowledge base articles and create other public or private enablement material
What would make you a good fit for this role?
5+ years of technical pre-sales experience, ideally with Open Source technologies, or in the Metrics/Monitoring space
Be open to various and complex assignments, this will require strong judgment, collaboration, and leadership
You will need first class written and oral communication skills to collaborate with our remote-first internal teams and with our worldwide customers. You will need to be able to skillfully articulate our value proposition and the technical advantages of our products
You love solving technical challenges and thrive on bringing creative solutions to our customers
You should have a technical mindset and a desire to grow technically.
Must be located in Israel
In
Israel
the OTE compensation range for this role is ILS 600,00 - ILS 743,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable), and other benefits listed on our
careers page.
*Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process.
Why You’ll Thrive at Grafana Labs:
100% Remote, Global Culture -
As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose.
Scaling Organization
– Tackle meaningful work in a high-growth, ever-evolving environment.
Transparent Communication
– Expect open decision-making and regular company-wide updates.
Innovation-Driven
– Autonomy and support to ship great work and try new things.
Open Source Roots
– Built on community-driven values that shape how we work.
Empowered Teams
– High trust, low ego culture that values outcomes over optics.
Career Growth Pathways
– Defined opportunities to grow and develop your career.
Approachable Leadership
– Transparent execs who are involved, visible, and human.
Passionate People
– Join a team of smart, supportive folks who care deeply about what they do.
In-Person onboarding
- We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it.
Balance is Key
- We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect.
*We will comply with local legislation where applicable.
Equal Opportunity Employer:
Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow.
Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings.
#LI-Remote
For information about how your personal data is used once you’ve applied to a job, check out our
privacy policy
.
Location: Malta
As
a Games
Release & Testing Coordinator
you will essentially be responsible
for our gaming portfolio and driving everything related to new games being added to our casinos.
The Wow
You will be
supporting the team with
configuring, testing, tagging, releasing and evaluating new games
, always being on top of new game release trends
and making sure all game releases meet regulatory requirements
A taster of what you will be involved with:
Configuring, testing and releasing games.
Ensure all new games are configured correctly, tested, certified and released in a timely manner, always aiming to be first to market
Work closely with the Compliance Department and assist with Gaming related compliance requirements
Become a specialist on the tools and systems that are required to make this process work, as well as the ways of working between the various touchpoints in the process, you will look to build strong internal relationships and establish yourself as a ‘go to’ person together with the team Senior and manager when we look for requirements to improve tools or systems
Build a strong understanding of games
Responsible for supporting internal teams in all aspects of executing content for new site launches, new markets, site migrations and product features
Work with our internal Support Teams and Suppliers, liaising on issues and broken Games to get them fixed – being the delivery point between the Commercial Teams and internal and external Support Departments
Fulfilling your day to day and adhoc tasks and be a point of reference when needed.
Ensure all team activities are carried out to a high standard, whilst maintaining Betsson Groups high standards for compliance and regulation as well as customer experience
What we are looking for
At least
tw
o
year
s
of
iGaming experience
Understanding of casino games
What we offer
Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.
Challenge accepted?
By submitting your application, you understand that your personal data will be processed as set out in our
Privacy Policy
Location: New York, New York, United States
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
.
Why Join Enterprise AI?
Turing’s Financial Services team brings enterprise AI into the world’s leading banks, asset managers, private equity firms, and insurers. We work with some of the largest investment banks, asset managers, and private equity firms in the world.
We built this business from the ground up and compete with the largest consulting firms every day by bringing greater depth in AI.
As Client Director, Business Development, BFSI, you will develop relationships across a targeted portfolio of financial services accounts, identify high-value opportunities, and turn initial projects into multi-year AI programs. You will lead initial customer conversations, bring in solutions engineers and AI architects, and own the commercial process through the first SOW and into the second.
This is an opportunity for an experienced financial services seller to move from the services era into an AI-native company and develop a portfolio of high-value AI engagements that defines the next decade of their career.
Why This Role Matters
Financial services firms are moving beyond AI experimentation and looking to deploy AI in regulated environments, on data that remains inside the firm, and across operational workflows that have historically been difficult to automate.
Turing combines deep relationships with frontier AI labs and enterprise deployment capabilities to help financial services organizations move from experimentation to production.
Over the next 12 months, you will help grow the financial services business significantly. Turing leads with a platform that remains in place after delivery, creating the foundation for future engagements. New MSAs can close in approximately four months, even in an industry where enterprise agreements often take years.
As Client Director, Business Development, BFSI, You Will
Develop and Prioritize the Target Account Portfolio
Take ownership of an existing portfolio of target financial services accounts, prioritizing opportunities across mid-size and regional banks, private equity and alternatives managers, asset managers, and insurers. Partner with the General Manager, BFSI, to refine account priorities and develop a focused business development strategy within your first 90 days.
Develop Executive Relationships and Create Opportunities
Build relationships at the Managing Director level and above, including within COO, CIO, and head-of-operations offices. Identify opportunities to apply Turing’s AI capabilities to high-value business problems and lead initial relationship conversations.
Own the Deal
Qualify opportunities based on sponsor, budget, and intent to reach production. Bring in solutions engineers and AI architects early, direct what they pitch, and scope and price deals that combine platform and services.
Create the Path to the Second Project
Remain commercially accountable beyond the first SOW, establishing a clear path to a multi-year AI program. Partner with the engagement lead after the initial sale while maintaining ownership of identifying, developing, and closing the second project.
Run a Disciplined Forecast
Manage a focused pipeline and provide a forecast you can stand behind. Track opportunities from the first relationship conversation through SOW signature and future expansion.
The Anti-Sell
Business development focus:
This role is focused on developing opportunities and driving revenue across a targeted portfolio of financial services accounts. This is not a traditional account management or customer success role focused primarily on renewals, relationship maintenance, or delivery oversight. The emphasis is on proactively developing opportunities and driving commercial growth across the assigned account portfolio.
Commercial ownership, not delivery ownership:
You will own the sales process and first SOW, but not delivery or engagement P&L.
Partner-led technical solutioning:
You will not own technical solution design. Solutions engineers and AI architects will lead that work.
Proactive business development:
This role is not for someone who relies primarily on renewals, passive account management, or procurement-led selling. You will be expected to proactively develop executive relationships, identify high-value business opportunities, generate demand, and lead consultative sales conversations.
High autonomy:
This is a self-directed role requiring the judgment and drive to work independently while remaining accountable to a small leadership team.
Our Financial Services Business Development Leaders Typically Have
Deep financial services selling experience:
At least 10 years selling technology services, data, or AI solutions into financial services organizations.
Enterprise sales success:
A demonstrated record of developing and closing complex enterprise engagements worth $1 million or more, with personal ownership of the commercial sales process.
Executive-level relationships:
A network at the Managing Director level and above, including relationships with COO, CIO, and head-of-operations leaders who will take your call.
Full-cycle enterprise selling:
Experience leading enterprise sales from initial relationship development through qualification, solution shaping, pricing, negotiation, and signed SOW.
Consultative and technical fluency:
The ability to lead with the customer’s problem, understand AI deployment concepts, and work effectively with solutions engineers and AI architects.
Self-directed execution:
The drive to work independently, maintain a disciplined forecast, and remain accountable to a small leadership team.
Top-Tier Candidates Will Have
Experience co-selling with a hyperscaler or AI lab.
Experience selling a data or AI platform alongside services.
Relationships inside alternatives managers, global banks, or insurers.
Experience based in or willing to relocate to New York.
Willingness to travel regularly across the Northeast.
Compensation: $280,000 - $350,000 base salary + variable compensation, equity & additional benefits
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 or Remote
Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities.
Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore
Have Fun
and
Is Motion Gaming Back?
, as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations.
Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities.
Important Notice:
⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in
@nex.inc
. If you receive a suspicious email or message, please do not respond and report it immediately to us.
Location: Hong Kong or Remote
Type: Full Time
The Role
As a ML Researcher at Nex, you will develop new machine learning models and algorithms that push the boundaries of computational perception and interaction on Nex Playground. You will join a small, deeply technical team that combines research and engineering to solve complex problems in sensing, understanding, and multimodal interaction.
The ML Research role emphasizes rapid experimentation, exploring new ideas and methods to expand what our platform can sense, understand, and respond to. You will work within the ML Research group, collaborating closely with ML Engineers who build the infrastructure that accelerates your research.
This role is ideal for researchers who want to see their work directly impact product capabilities while maintaining a focus on cutting-edge innovation.
The Mindset
You are driven by curiosity and technical discovery. You see research as a systematic process of exploration and validation, not just theoretical work. You balance scientific rigor with practical impact, knowing that the best research solves real problems. You thrive in a team that values experimentation velocity and measurable technical improvement.
What You’ll Do
Develop novel ML models and algorithms for computational perception and interaction
Design and execute rapid experiments to validate new ideas and methods
Explore advancements in computer vision, audio processing, sensor fusion, or related domains
Collaborate with ML Engineers to integrate research outcomes into training pipelines and production systems
Measure and track experimentation velocity, the number and quality of validated experiments per quarter
Contribute to research planning and help define the technical roadmap alongside the Engineering Manager and Tech Lead
Document research findings and communicate technical progress to the broader team
Must Have
2+ years of hands-on ML research experience in industry, academia, or research labs
Demonstrable track record of designing and conducting ML experiments from hypothesis to validation
Proficiency in Python for ML research and experimentation
Deep expertise with PyTorch or TensorFlow for model development
Experience training and evaluating ML models on real datasets
Understanding of model evaluation metrics, experimental design, and statistical validation
Familiarity with data preprocessing, augmentation, and management for ML workflows
Experience presenting research findings to technical audiences
Nice To Have
Expertise in real-time inference, model optimization, or efficient architectures
Experience with self-supervised learning, few-shot learning, or foundation models
Background in multimodal learning combining vision, audio, and sensor data
Contributions to open-source ML projects or released research code
Experience collaborating with engineers to productionize research outcomes
Familiarity with ML Engineering practices: training pipelines, experiment tracking, MLOps
Background in edge computing, on-device ML, or resource-constrained environments
Experience with sensing technologies: cameras, microphones, IMUs, or haptic systems
Knowledge of privacy-preserving ML, federated learning, or on-device data processing
We Offer
Competitive compensation package.
Flexible working hours and vacation policy.
Product-driven culture that treasures talents and individual growth.
Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field
Nex is located in
San Jose, California, USA
and
Hong Kong
. Learn more about us at
https://www.nexplayground.com/about
.
We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms!
Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination.
We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.
Location: Remote Americas
Who We Are:
Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure
for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more.
Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts.
Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it.
Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator.
Our Team Members:
We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond!
We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply.
Your Role:
As a senior software engineer, you will help build and scale the systems and services that form Alpaca's foundation and empower millions of users who trade billions of dollars worth of assets.
The identity team is responsible for building a modern platform for onboarding users, verifying their identity, evaluating risk, and managing their trading accounts. These people, businesses, and accounts are foundational components of the Alpaca system, and we need to build new capabilities while achieving very high automation rates. We are expanding the platform to handle identity verification on a global basis and to support our growing set of account types.
We are looking for senior engineers who are keen on providing quality solutions, have great fundamentals, have proven experience building and architecting at scale, and are not afraid of challenging conventions or voicing their opinions. In this role, you will have the autonomy to design and implement solutions to achieve defined goals while actively participating in defining those goals. An understanding of cloud-based modern architecture, infrastructure, and orchestration practices is also a great asset we are actively looking for.
Things You Get To Do:
Contribute to a core system that millions of end users will rely on
Help us create a global financial identity verification and risk management service
Implement backend services and work on designing an architecture where reliability matters
Take ownership of tasks, identify and address technical challenges proactively, and propose innovative solutions
Contribute to architectural decisions, offering insights and suggestions for designing scalable and reliable systems
Work with other teams to improve how our systems interact with theirs and improve Alpaca systems in general
Maintain good software quality and test coverage
Participate in code reviews
Troubleshooting on incidents and reported bugs
You may be asked to be on-call to assist with engineering projects that are timely in nature
Who You Are (Must-Haves):
Strong problem-solving skills paired with a proactive mindset
Ability to turn business requirements into a flexible implementation model
Excellent communication and collaboration skills
Ability to work independently and as part of a team
A preference for simple and elegant solutions
At least 3 years of experience working on systems at scale
Proven experience in building and maintaining microservices
Strong coding skills, preferably in Go
Ability to write clean, well-tested, and maintainable code
Experience with domain-driven design and event-driven design
Ability to debug issues or, better yet, foresee problems and avoid them entirely
Familiarity with containerization and orchestration technologies, especially Kubernetes
Experience with cloud platforms, preferably Google Cloud Platform
Experience with relational databases, preferably PostgreSQL
Who You Might Be (Nice-to-Haves):
Experience in the finance industry
Experience with financial identity management, e.g. KYC
Experience with messaging queues and message brokers
Experience integrating with external services
Experience working remotely
Experience working at a startup
DevOps mindset is an asset
How We Take Care of You:
Competitive Salary & Stock Options
Health Benefits
New Hire Home-Office Setup: One-time USD $500
Monthly Stipend: USD $150 per month via a Brex Card
Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce.
Recruitment Privacy Policy
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping state and local government agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
Must have prior experience working with US federal, state, and/or local agencies
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
About the role:
As an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping federal civilian agencies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
Security clearance not required, but a plus
Must have prior experience working with US federal agencies
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$275,000
—
$315,000 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: 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 an Applied AI team member at Anthropic, you will be a Pre-Sales architect focused on becoming a trusted technical advisor helping systems integrators, startups, and other GovTech companies understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex mission challenges while maintaining our high standards for safety and reliability.
Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.
Responsibilities:
Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
Support customers building with Claude Code, the Claude API, and Claude for Enterprise
Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
Identify common integration patterns and contribute insights back to our Product and Engineering teams
Travel frequently to customer sites for workshops, technical deep dives, and relationship building
Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns
You may be a good fit if you have:
US Secret Clearance preferred for working with defense tech customers
Prior work in government, government contracting, or government tech preferred
5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
Experience navigating complex buying cycles involving multiple stakeholders
Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
Experience designing scalable cloud architectures and integrating with enterprise systems
Familiar with Python
Familiarity with common LLM frameworks and tools or a background in machine learning or data science
Excitement for engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
A love of teaching, mentoring, and helping others succeed
Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$275,000
—
$315,000 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: Remote; Remote - Mexico; Remote - Argentina; Remote - Uruguay; Remote - Colombia; Remote - AMER; Remote - Brazil; Remote - Paraguay
Workplace: Remote
About Us
Constructor is the next-generation platform for search and discovery in ecommerce, built to explicitly optimize for metrics like revenue, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs, and we use its core and personalization capabilities to power everything from search itself to recommendations to shopping agents. Engineering is by far our largest department, and we’ve built our proprietary engine to be the best on the market, having never lost an A/B test to a competitive technology. We’re passionate about maintaining this and work on the bleeding edge of AI to do so.
Out of necessity, our engine is built for extreme scale and powers over 1 billion queries every day across 150 languages and roughly 100 countries. It is used by some of the biggest ecommerce companies in the world like Sephora, Under Armour, and Petco.
We’re a passionate team who love solving problems and want to make our customers’ and coworkers’ lives better. We value empathy, openness, curiosity, continuous improvement, and are excited by metrics that matter. We believe that empowering everyone in a company to do what they do best can lead to great things.
Constructor is a U.S. based company that has been in the market since 2019. It was founded by Eli Finkelshteyn and Dan McCormick who still lead the company today.
About the Position
We're looking for a proactive and highly organized Technical Project Manager to lead customer implementations across Constructor's product suite. You will lead onboardings for new customers as well as implementations of additional products for existing customers, owning each engagement from kickoff through activation. You will own the plan, the timeline, and the outcome, and you drive the people delivering it through a matrixed reporting structure. As we build toward an automation-first operating model, you will help standardize how implementations are run and increasingly act as a portfolio strategist, managing exceptions while repeatable, AI-assisted processes carry the routine work.
You will:
• Lead multiple implementations end to end, both new-customer onboardings and additional-product rollouts for existing customers, from kickoff through integration, testing, and activation.
• Take accountability for the outcome of every implementation, coordinating Constructor resources, customer resources, and partners, against a single shared plan.
• Run kickoffs, set milestones, track dependencies, and maintain a clear, shared view of status for internal stakeholders and the customer.
• Serve as the customer's primary point of contact through activation, setting expectations and communicating progress, risks, and changes in scope.
• Identify risks and blockers early, escalate effectively, and keep implementations moving toward on-time, predictable delivery.
• Ensure clean handoffs into implementation from Sales and out of implementation to Customer Success and Support.
• Maintain implementation plans and reporting in our systems of record so schedule, duration, and status roll up cleanly across your portfolio.
• Help build the repeatable processes, templates, and standards that let the function scale, and partner on the automation-first model as it matures.
Role Responsibilities: Technical Project Management
• Own the Outcome: Be accountable for the success of each implementation from kickoff to activation, whether the work is delivered by Constructor, the customer, or a partner, standing behind on-time, predictable go-live for both new customers and existing-customer product rollouts.
• Drive Every Contributor: Coordinate Constructor technical resources, customer resources, and partners against one plan, holding each accountable to their commitments through influence rather than authority.
• Lead the Customer Experience: Serve as the primary point of contact through activation, running a clear communication rhythm and building customer confidence from kickoff to handoff.
• Manage Handoffs & Risk: Ensure accurate handoffs from Sales into implementation and from implementation into Customer Success and Support, surfacing risk early and keeping delivery on track wherever the risk sits.
• Build Scalable Process: Standardize how implementations are run at Constructor, maintain accurate tracking and reporting, and help advance the automation-first operating model as the function grows.
Requirements
You Have
• At least 3 years of technical project management or onboarding project management experience, ideally in a SaaS environment.
• A track record of owning delivery outcomes end to end and holding cross-functional contributors accountable through influence rather than direct authority.
• Excellent organizational and communication skills, with the ability to run multiple implementations in parallel without losing the thread.
• Customer-facing confidence: you can lead a kickoff, manage expectations, and keep stakeholders aligned through go-live.
• Proven ability to prioritize effectively, manage competing demands, and maintain clarity under ambiguity.
Nice to Have
• Technical fluency sufficient to direct integration specialists and translate between technical and business stakeholders.
• Exposure to ecommerce, product discovery, LLMs and familiarity with concepts like catalog data feeds, integrations and APIs.
• Experience coordinating implementations that span internal teams, customer resources, and third-party partners.
Benefits
🏝️ Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
💰 A competitive compensation package including stock options: base salary range is 90-105K USD annually
🌎 Fully remote team - choose where you live
🛋️ Work from home stipend! We want you to have the resources you need to set up your home office
💻 Apple laptops provided for new employees
🧑🎓 Training and development budget for every employee, refreshed each year
👪 Maternity & Paternity leave for qualified employees
🧠 Work with smart people who will help you grow and make a meaningful impact
🏥 Company sponsored US health coverage (100% paid for employee)
Diversity, Equity, and Inclusion at Constructor
At http://constructor.io/Constructor.io http://Constructor.io we are committed to cultivating a work environment that is diverse, equitable, and inclusive. As an equal opportunity employer, we welcome individuals of all backgrounds and provide equal opportunities to all applicants regardless of their education, diversity of opinion, race, color, religion, gender, gender expression, sexual orientation, national origin, genetics, disability, age, veteran status or affiliation in any other protected group.
How we handle your data. By submitting this application, you acknowledge that Constructor will collect and process the personal data you provide for the purpose of evaluating your candidacy for this role. If you are not selected, we will retain your data for a limited period as described in our Recruitment Privacy Notice https://constructor.com/recruitment-privacy-notice. After that period your data will be deleted or anonymized.
Location: Santa Clara, CA
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
The Opportunity
About the Team – LG’s Emerging Technology Lab
LG’s Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG’s CTO organization. Based in Silicon Valley and New Jersey, we drive excellence across the CTO organization and LG’s business units by pioneering select emerging technology areas. As a Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships and deliver measurable business value.
About the Position – Physical AI Researcher
We are seeking an exceptional Physical AI researcher to help define the future of embodied intelligence at LG and shape our research and product roadmaps toward the vision of
Zero-Labor Home
.
This hybrid role, based at LG's Emerging Tech Lab in
Santa Clara, CA
, offers a unique opportunity to
develop generalist robot intelligence and deploy it at scale
in next-generation LG robot platforms. You will work at the frontier of embodied intelligence, leading research that can transition from breakthrough ideas to real-world products at global scale.
You will lead a growing team of Physical AI researchers and work closely with robotics and AI teams across LG to translate cutting-edge research into next-generation intelligent systems.
What You Will Do
Set the technical direction for LG’s Physical AI team
, leading advanced research in multimodal robot foundation models and physical intelligence.
Lead and manage
collaborations with LG HQ and third-party research labs
to drive the technical integration of advanced robotics technologies into the LG ecosystem.
Build and influence a cross-functional Physical AI ecosystem
, partnering with LG’s AI, robotics, software, and product teams as well as leading external research partners.
Define
project scope, goals, and deliverables
that align cutting-edge research with strategic business objectives.
Lead fundamental and applied research
that advances the scientific and technological frontiers of physical intelligence, with a clear path toward real-world robotic systems.
Invent and improve paradigms for physical intelligence
, including multimodal foundation models (images, video, text, tactile, etc.), world-action models, generalist dexterity, and agentic robot orchestration.
Why This Opportunity Is Unique
See your research move beyond the lab.
Work at the intersection of frontier AI research and large-scale consumer deployment, where breakthroughs can transition rapidly from research into products.
Maintain a strong research presence while building real products
, with support for research ownership, publication, and collaboration with leading universities and AI labs.
Engage with startups and industry collaborators
to co-design hardware-software systems and validate them in real-world applications.
Required Qualifications
PhD in Computer Science, Robotics, Machine Learning, or a related technical field, with a strong publication record and 3+ years of industry experience.
Deep research and engineering expertise in one or more of the following areas:
Robot foundation models (e.g., VLAs, LBMs, diffusion/flow matching policies for manipulation and locomotion)
World model training for robot action prediction
Spatial intelligence (self-supervised visual foundation models, 3D scene reconstruction, embodied scene understanding)
Multimodal representation learning across vision, language, and touch
Learning from human demonstrations and self-play
1+ years of experience leading technically ambitious research projects in dynamic, fast-moving environments.
Hands-on experience integrating AI models with real robotic systems, including manipulators and/or mobile robots, and sensors such as RGB and depth cameras, LiDAR, force-torque sensors, and tactile sensors.
Experience with physics-based simulation platforms (e.g., PyBullet, MuJoCo, Isaac Sim) for large-scale data generation, experimentation, and evaluation.
Excellent written and verbal communication skills, with the ability to clearly articulate complex technical ideas across research, engineering, and leadership teams.
Please Note:
the salary range provided is dependent on the experience and level of candidate hired.
#LI-JH1 #HYBRID
Recruiting Range
$200,000
—
$350,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
ОфисOptional offices and relocation support
УдалённоseniorUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
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УдалённоseniorUnited States; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
УдалённоseniorCanada; Brazil; We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance
seniorIsrael (Remote); Must be located in Israel
New York, New York, United States; For applicants from the European Union, please review
Hong Kong or Remote; Nex employees may be expected to collaborate with colleagues across different time zones
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