About The Opportunity
The Chief Auditor will serve as MoonPay's internal audit executive, responsible for designing, building, and leading an independent, risk-based audit function across MoonPay. This is a rare opportunity to build a best-in-class audit capability from the ground up within a crypto-native company at the intersection of traditional finance, digital asset infrastructure, and global regulatory complexity. The Chief Auditor will provide the MoonPay Board and senior leadership with independent assurance that MoonPay's risk management, control environment, and governance frameworks are operating effectively across a multi-entity global footprint.
What you'll do
Lead the design, development, and management of MoonPay's internal audit function from inception.
Establish risk-based audit plans aligned with enterprise risk management and strategic objectives.
Provide independent assurance to the Board and senior leadership on risk management, controls, and governance.
Oversee audit execution, including scoping, fieldwork, reporting, and follow-up on remediation actions.
Collaborate with external auditors and regulators to ensure regulatory compliance and continuous improvement.
Build and lead a high-performing audit team, fostering a culture of accountability and continuous learning.
Requirements
Experience designing, building, and directing an internal audit function in a complex, multi-entity global organization.
Strong knowledge of risk management, control environments, governance frameworks, and regulatory expectations across multiple jurisdictions.
Proven ability to work with executive leadership and the board to translate risk into actionable insights.
Experience in crypto, digital asset infrastructure, or financial services is highly desirable.
Excellent leadership, communication, and collaboration skills.
Qualifications
Significant senior-level internal audit leadership experience (e.g., Head of Internal Audit, Chief Auditor).
Demonstrated track record of building an audit function from the ground up in a fast-paced environment.
Relevant professional certifications (e.g., CIA, CPA, CISA, CA, or equivalent).
Strong understanding of regulatory, legal, and compliance frameworks applicable to digital assets and fintech.
Team description
Lead and develop MoonPay's internal audit team, collaborating with risk management, compliance, finance, and operations to provide comprehensive assurance across the organization.
Tech stack
Experience with audit management tools, data analytics, and regulatory technology; familiarity with platforms used for risk assessment, control testing, and governance reporting in a global, crypto-enabled environment.
Benefits & perks
Competitive compensation and equity opportunities.
Comprehensive health, dental, and vision plans.
Flexible work arrangements and a dynamic, high-performance culture.
Opportunities to shape a growing function at the intersection of finance and crypto.
Who you are
A strategic leader with hands-on experience building and running an internal audit function in a global, regulated setting.
Discerning, detail-oriented, and capable of communicating complex risk concepts to diverse audiences.
A collaborator who can influence at the Board level and partner across functions.
Location: London, United Kingdom
Workplace: none
About InvestEngine
We’re a ~200-person, AI-first fintech. We move fast, we expect people to own things end to end, and we don’t have a lot of specialist support infrastructure to hide behind — if you spot a gap, you’re expected to close it, not escalate it and wait.
About the role
We’re hiring our
first dedicated Analytics Engineer
at InvestEngine. This is a foundational hire: you’ll sit at the intersection of data engineering, analytics engineering, and business partnership — turning raw, disparate data into governed, trustworthy models that the rest of the company makes decisions on.
You won’t just write dbt models in isolation. You’ll work directly with stakeholders across the business — Product, Engineering, Risk, Finance, Investment, Marketing — to understand the problems they’re actually trying to solve, then design and ship the pipelines, models, and semantic layer that solve them. You’ll also help shape how we use AI-enabled tooling to make the whole analytics function faster, and how we structure our data so that AI tooling can be trusted to answer questions about it.
We’re actively modernising our data stack, and we want the person in this role to shape it.
Some of it is in place, some of it is being rebuilt, and some of it hasn’t been decided yet. If you have informed opinions about orchestration, ingestion, testing, semantic layers, or BI — we want to hear them.
Who thrives here
We’ve pitched this at
mid to senior level
, but the honest position is that the level matters less than the appetite. The ultimate test is
hunger, and the desire to shape this space and have real impact
. If you’re technically strong but hungrier than your years of experience suggest, apply anyway — we’d rather have someone who wants to own this than someone who has simply done it before somewhere bigger.
Beyond that, this role suits someone who:
Operates well with ambiguity and limited structure.
You’ll be the first analytics engineer here — no existing playbook, no dedicated data engineering team to lean on, no established BI function to slot into. You’ll be building a lot of it as you go.
Wants a small, fast company on purpose
— not just escaping bureaucracy elsewhere, but genuinely drawn to the trade-off: more ownership and visibility, less process and hand-holding.
Lives in the tools, not in email chains.
You default to GitHub, dbt, Slack/Notion, and automation over status meetings and Word docs.
Can point to things they’ve actually built and shipped
, not just designs or concepts they contributed to.
Already uses AI to do the job better
— Claude, Copilot, or similar — and is curious about where it can go further.
Learns fast.
We care more about how quickly you close a knowledge gap than how complete your CV looks today.
Works well directly with Product, Marketing, Operations, and Engineering
, not just with other analysts — this role sits right at that boundary.
Our values
Everyone at InvestEngine is expected to live these, and this role will be assessed against all five:
Act like an owner
— you take responsibility for outcomes, not just tasks
Keep improving. Stay curious.
— you push your own standards and the team’s, and you’re genuinely curious about better ways to work
Achieve more together
— you make the people around you (business stakeholders included) more effective, not just yourself
Speak up. Share openly.
— you flag risks, disagreements, and better ideas rather than sitting on them
Put customers first. Create real value.
— you build things because they solve a real problem, not because they’re interesting to build
What you’ll do
Analytics engineering & the semantic layer
Design, build, and maintain
dbt Core
models that transform raw data into clean, well-tested, well-documented datasets
Own and evolve our semantic layer — consistent metric definitions, business logic, and naming that the whole company can trust and query against
Establish and enforce data modelling standards, testing practices, and documentation as the function scales
Evaluate and help roll out modern BI tooling — experience with
Lightdash, Omni, Looker, or Metabase
all translates well — to make metrics genuinely self-serve for non-technical stakeholders
Building the AI context layer
Structure our models, metric definitions, documentation, and lineage so they’re
machine-readable, not just human-readable
— because our semantic layer is what AI tooling reasons over
Make AI-driven analytics reliable: if two people (or two agents) ask the same business question, they should get the same answer, because the definition lives in one governed place
Treat naming, documentation, and metric definitions as first-class engineering deliverables rather than afterthoughts, since they directly determine how trustworthy our AI-enabled BI is
Use
Claude
to accelerate development — model scaffolding, code review, documentation, QA, and pipeline debugging — and
Notion AI
to keep documentation and runbooks current and genuinely useful
Bring a point of view on where AI can responsibly speed up analytics engineering, and help the wider team adopt it well
Data engineering & the platform
Build and maintain ingestion and transformation pipelines across our stack. We use a modern data stack, such as AWS, Redshift, and Airflow
Write production-quality Python for extraction, transformation, and automation tasks that fall outside dbt’s remit
Help us modernise: we’re actively evolving this stack and expect you to challenge and improve it, not just operate it
Warehouse cost & performance
Own the performance and cost profile of our Redshift warehouse — you should be able to read a query plan, choose sensible sort and distribution keys, and design incremental models without being asked
Spot and act on opportunities to reduce complexity and cost across our models and pipelines, rather than letting spend and technical debt accumulate quietly
Make deliberate trade-offs between freshness, cost, and complexity — and explain those trade-offs to the business in terms they care about
Data quality & observability
Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them to software
Build and own data quality, freshness, and pipeline monitoring so problems are caught by us before they’re caught by a stakeholder looking at a dashboard
Set the standard for what “trustworthy data” means here, and hold the line on it as the volume of models and requests grows
Upstream influence
Work with our engineering teams to make sure application and event design accommodates reporting and analytics requirements
before
data reaches the warehouse — good analytics starts at the source, not in the transformation layer
Influence payload and schema design for new services and product features, so we’re not permanently reverse-engineering business meaning out of operational tables
Support analysts and business users with automation, tooling, and data engineering expertise, and provide training and guidance on how to use our data well
Business partnership
Work directly with stakeholders to understand their problems, not just their requested outputs — translate ambiguous business questions into pipeline and modelling requirements
Act as a trusted advisor on what’s possible with our data, and push back constructively when a request doesn’t solve the underlying problem
Support financial, operational, and regulatory reporting needs appropriate to a regulated investment platform
Governance
Apply our data classification and access model when onboarding sources: identify PII (including in free-text fields), decide what belongs in the sanitised analytics layer versus a restricted dataset, and document the outcome
Implement least-privilege access across datasets, reports, and dashboards
What we’re looking for
Must-haves
Hands-on production experience with
dbt
(we run dbt Core) — this is a hard requirement
Strong SQL expertise
Solid
Python
for data engineering and automation
Working knowledge of
AWS
data services
Experience with
GitHub
and
GitHub Actions
(or equivalent CI/CD tooling) for testing and deploying data code
Experience with a modern BI tool (e.g., Lightdash, Omni, Looker, or Metabase), and a genuine interest in semantic layers (e.g., MetricFlow, Cube Core) and self-serve analytics
Comfortable using AI tools as part of your day-to-day engineering workflow
Strong communication — you can sit with a non-technical stakeholder, understand their real problem, and explain trade-offs in plain language
Ownership: you’re comfortable being the first and only person in this role, and building things properly from scratch
Nice-to-haves
Airflow
or similar orchestration tools, and familiarity with data ingestion tools such as dlt or Airbyte
Warehouse cost and performance tuning, particularly on Redshift
Fintech, investment management, or another regulated industry
Handling PII responsibly in an analytics environment — sanitised vs. restricted datasets, role-based access tiers, automated PII detection
Experience with Notion AI or Asana automations
Day-to-day working style
We favour clear thinking and simple, well-tested solutions over cleverness
We expect you to engage directly with the business, not hide behind tickets — understanding the “why” behind a request is part of the job
We’re genuinely trying to use AI to work faster and better, not as a buzzword — we want people who’ll experiment, share what works, and level up the team
As the first analytics engineer, you’ll define what “good” looks like here: process, standards, and tooling included
We believe data should be
as accessible as it can safely be, and as restricted as it needs to be
— good judgement applied consistently, not blanket lockdown
Practical details
Reports to:
Chief Data Officer
Team:
Data & Analytics
Level:
Mid to Senior
Location / working pattern:
London / hybrid
Location: Chicago
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
You will join the Core Trading Platform team, which is responsible for the design and operation of QRT’s global electronic trading infrastructure. This team builds and maintains the ultra-low latency systems that underpin real-time trading, managing performance-critical workflows across global markets. You will work closely with developers, traders, and operations to optimise system behaviour, reduce latency, and ensure platform reliability at scale.
Your future role within QRT
Design and implement low-latency trading systems on Linux, focused on throughput, reliability, and determinism
Engineer scalable, high-performance distributed systems that support global real-time trading workflows
Analyse system behaviour using low-level tools such as packet captures, core dumps, and runtime profilers
Apply deep expertise in TCP, UDP, and multicast to understanding trade-offs in short-haul vs long-haul networks
Continuously profile, benchmark, and optimise code to reduce latency and increase throughput
Engage across the full software lifecycle: from architecture to debugging in live trading environments
Your present skillset
2+ years of professional C++/C development experience on Linux, including modern C++ and multithreading
Strong expertise in TCP, UDP, multicast, and performance trade-offs in low-latency networks
Experience building and operating high-throughput distributed systems in production
Familiarity with scalable I/O models (e.g., epoll, io_uring), lock-free structures, and concurrent programming
Deep attention to detail with a rigorous approach to performance troubleshooting and optimisation
Proficiency in system-level tools (e.g., gdb, perf, tcpdump, valgrind, wireshark)
Comfortable working autonomously and taking ownership from problem to solution
Scripting experience (e.g., Python, Bash) and exposure to CI/CD or observability tooling is a plus
Prior exposure to electronic trading or exchange-facing systems is advantageous
Base salary range for this position is $150,000 to $220,000 per year.
QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.
Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We’re hiring a Senior Group Accountant to join our Finance team in London. Reporting to the Global Financial Controller, you will be responsible for monthly and statutory reporting and group consolidation across our global entities, and will help build the reporting, close and audit processes that carry Humanoid from high-growth startup to public-company standards. This is a hands-on role for a technically strong, audit-trained accountant who wants their work to become the foundation of a global finance function.
WHAT YOU’LL DO
Reporting, Close and Consolidation
- Run the month-end and year-end close to the group close calendar, including journals, accruals, prepayments, fixed assets and payroll postings, and own full balance sheet reconciliations.
- Prepare monthly management reporting and support the wider reporting pack for internal and external stakeholders, including leadership, investors, lenders and auditors.
- Operate and improve the group consolidation across all entities, including intercompany reconciliation and eliminations, and multi-currency translation.
- Prepare group cash flow reporting and supporting schedules, working with FP&A and Treasury as the function grows.
Technical Accounting
- Own technical accounting assessments and prepare accounting papers and memos on judgemental areas and complex transactions.
- Develop accounting policies across revenue, inventory, R&D, leases and share-based payments as the business scales.
- Lead the accounting for inventory and manufacturing costs as we move from R&D and prototypes into production, including standard costing, cost of sales and stock provisioning.
- Support the transition of group reporting from FRS 102 to IFRS.
Statutory Reporting and Audit
- Prepare UK statutory financial statements and support local filings across our other jurisdictions alongside external advisors.
- Own the external audit process end to end, including PBC lists, auditor relationships and technical position papers.
Controls, Systems and Process
- Build and document internal controls as the group scales, ensuring we stay compliant and are ready for the reporting standards expected of a public company.
- Document processes and controls as you build them, and play a central role in our ERP build-out and finance systems integrations.
- Use AI and modern workflow tooling to accelerate the close, automate reconciliation and reporting, and find efficiencies across the function.
- Collaborate end to end across the finance team and the wider business, including tax, FP&A, finance operations, supply chain and people teams, picking up work that falls outside the standard remit as an early-stage company.
WHAT WE’RE LOOKING FOR
- ACA or ACCA qualified (CIMA considered), ideally audit-firm trained, with 4+ years’ relevant post-qualified or equivalent accounting experience across multi-entity, multi-currency groups, ideally including US entities.
- Strong technical knowledge of FRS 102 and IFRS, with experience preparing statutory accounts, drafting technical papers and managing external audits end to end.
- Hands-on close and consolidation experience, comfortable owning journals, reconciliations, intercompany and eliminations rather than only reviewing them.
- Experience with inventory and cost accounting, standard costing or cost centre reporting in a manufacturing, physical goods or high-volume environment.
- A builder’s mindset, with experience in a high-growth environment where process, controls and documentation still need to be created.
- Comfortable in a modern finance stack, using AI and automation to speed up close and reporting; ERP implementation experience (SAP, NetSuite or similar) is a plus.
- Experience in a venture-backed startup or scale-up, ideally hardware, robotics or deep tech, is a plus.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas to New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier: collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership: direct access to leadership, meaningful input, and the ability to drive key initiatives from day one.
Location: Kuala Lumpur, Malaysia; Vilnius, Lithuania
About Us
Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
We are looking for an experienced STR / Investigations Manager to oversee financial crime investigations and the Suspicious Transaction/Activity Reporting (STR/SAR) process. The role will ensure investigations and regulatory reports are completed to a high standard, filed within applicable regulatory timelines, and supported by clear, defensible analysis.
Key Responsibilities
Lead the end-to-end financial crime investigation and STR/SAR process, from case escalation and investigation through review and regulatory filing.
Review and approve investigations, STR/SAR narratives and supporting analysis for accuracy, completeness and regulatory compliance.
Establish investigation and STR/SAR standards, procedures, quality controls and escalation thresholds.
Ensure regulatory filings are completed accurately and within applicable jurisdictional deadlines.
Ensure investigations are supported by sufficient transaction data, customer information, on-chain analysis and other relevant evidence.
Identify complex or high-risk cases and escalate material matters to the relevant MLRO.
Monitor investigation and STR/SAR quality, volumes, turnaround times and other key performance indicators.
Provide guidance, feedback and training to investigators and STR/SAR makers to continuously improve investigation and reporting quality.
Work closely with MLROs, AML Operations, Transaction Monitoring and other Compliance teams on emerging typologies, control gaps and remediation.
Support regulatory enquiries, audits and reviews relating to investigations and suspicious transaction reporting.
Requirements
6+ years of relevant experience in AML, financial crime investigations, transaction monitoring or suspicious transaction reporting, with experience reviewing or approving STRs/SARs.
Strong understanding of AML/CFT requirements, investigation methodologies and regulatory reporting expectations.
Experience leading or providing oversight of investigators, STR/SAR analysts or similar financial crime operations.
Strong ability to assess complex transaction patterns and produce clear, defensible investigation conclusions.
Experience with transaction monitoring, case management and blockchain analytics tools.
Experience in digital assets, crypto, fintech, payments or financial services strongly preferred.
Strong analytical judgement, attention to detail and ability to operate across multiple jurisdictions and regulatory requirements.
Profile
Strong investigative judgement with the ability to distinguish genuinely suspicious activity from false positives.
Comfortable making and defending escalation and filing decisions.
Hands-on and able to operate effectively in a high-volume, fast-moving environment.
Strong focus on investigation quality, regulatory defensibility and continuous process improvement.
Interest in leveraging technology and AI to improve investigation quality, consistency and efficiency.
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.
Location: London
Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology- and data-driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high-quality returns for our investors.
You will join QRT as the Identity and Access Management Lead, owning the firm’s global identity and access security capability. This is a hands-on leadership role in which you will set the strategy, lead programmes, and remain close to the technology to ensure solutions are secure, automated, and practical for QRT’s engineering environment.
Your Future Role within QRT
Lead QRT’s IAM and IGA strategy, architecture, roadmap, and delivery.
Develop identity lifecycle management, application onboarding, entitlement governance, and access certification.
Redesign Active Directory groups, legacy permissions, and access models, establishing clear ownership of applications, roles, entitlements, and access decisions.
Develop pragmatic role- and attribute-based access models and improve the automation and accuracy of joiner, mover, and leaver processes.
Own the global PAM programme, including the continued development and adoption of PrivX.
Redesign privileged access to production, infrastructure, cloud, and trading-critical environments.
Reduce standing privileges through controlled, time-bound, and auditable access, with effective controls for administrative accounts, emergency access, and privilege escalation.
Own the enterprise secrets-management programme and HashiCorp Vault platform.
Define how credentials, certificates, API keys, and other secrets are created, stored, rotated, and revoked.
Reduce embedded, shared, and long-lived credentials, while establishing governance for service accounts, workloads, applications, and AI-agent identities.
Lead authentication and authorisation programmes across the workforce, infrastructure, cloud, and internally developed applications.
Develop strategies and reusable patterns for SSO, MFA, passwordless authentication, phishing-resistant credentials, applications, APIs, platforms, and production systems.
Lead and develop the IAM team, manage specialist partners and vendors, and work closely with Security, Infrastructure, Cloud, Engineering, application owners, and business teams.
Maintain a clear roadmap, define meaningful measures, communicate progress and risks, and support security incidents, audits, and regulatory reviews involving identity or access.
Your Present Skillset
Strong experience leading IAM, IGA, PAM, or identity-security engineering in a complex technology environment.
Deep knowledge of identity governance, privileged access, secrets management, authentication, and authorisation.
Practical experience with SailPoint, Active Directory, Entra ID, Okta, PAM technologies, and HashiCorp Vault.
Experience redesigning production access and implementing least-privilege and time-bound access models.
Strong understanding of human, service, workload, and machine identities.
Experience delivering SSO, MFA, passwordless authentication, and modern application-authorisation models.
Strong technical capability across APIs, automation, scripting, and system integration.
A good understanding of Windows, Linux, cloud, and modern software-delivery environments.
Experience leading technical teams and turning complex security risks into practical engineering priorities.
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we offer initiatives and programmes to enable employees to achieve a healthy work-life balance.
Location: London, England, United Kingdom
About Us
Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience.
Software Engineer III - Data - FMX
United Kingdom
About Us
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.
Data Engineer III
About the Role
We're looking for a Data Engineer III to join our Data Engineering team, which builds and governs the data foundation that powers the business. You'll work within our stack — Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks — helping move data reliably and securely from source to decision-ready output.
You'll implement features and fixes against a given design, handle known classes of pipeline issues on your own, and escalate genuinely novel problems with clear context rather than working them in isolation. You're also expected to start contributing meaningfully in code review — catching real bugs, not just style nits.
What You'll Do
Implement new ingestion sources end-to-end against a senior engineer's design — connector code, DAG, schema, monitoring, and catalog registration — extending the team's existing framework where a new source needs a pattern it doesn't yet support
Investigate pipeline failures independently, recognize known classes of issues, and ship the documented fix without needing to escalate
Before shipping a new pipeline, identify downstream consumers and what would break if data were late or wrong, and flag gaps like this during spec review — before writing code
Write clear handovers when escalating a genuinely unresolved issue — what you tried, what you ruled out, and where things diverge — so a senior can pick up without re-discovery
Review peers' pipeline PRs and catch non-obvious issues (e.g., missing idempotency checks, race conditions) that could cause incorrect downstream data
Turn ambiguous "why is this data wrong?" questions into structured investigations — tracing data lineage from source to warehouse and communicating back what you found
Surface concerns in spec review as specific, well-reasoned questions rather than staying silent or blocking progress
Support data security and governance work (e.g., PII masking, access controls) and contribute to data delivery work, including reverse ETL integrations
Build strong working relationships with internal stakeholders and help scope and clarify requirements for new work
Mentor DE2s on their first significant projects — pairing on tricky decisions and helping them apply team conventions
What We're Looking For
3–5 years of professional software or data engineering experience
Strong SQL and Python skills, with solid experience building and operating production data pipelines
Comfort investigating and root-causing pipeline issues independently before escalating
Experience with workflow orchestration tools (Airflow or similar) and a cloud data warehouse/lakehouse (Snowflake, Databricks, or similar)
Solid understanding of data pipeline concepts: idempotency, schema evolution, backfills, and data quality/testing
Experience giving substantive code review feedback, not just style or formatting comments
Strong communication skills — can write a clear technical handover, ask sharp questions in spec review, and explain a data lineage investigation to a non-technical stakeholder
A track record of taking ownership of known-class problems end-to-end rather than needing step-by-step direction
Nice to Have
Experience extending or building reusable pipeline frameworks/templates
Exposure to reverse ETL tools or patterns, PII masking, or data access governance (RBAC)
Exposure to observability/monitoring tooling (e.g., Datadog) for pipeline health and alerting
Some experience mentoring or informally supporting more junior engineers
Background in gaming, betting, e-commerce, or another regulated/high-compliance industry
Why Join Us
Real ownership over known-class problems, with senior/staff support available for the genuinely novel ones
Work on high-visibility, high-trust systems that the business depends on
A culture built around clear tenets: standardize before you scale, own the outcome (not just the ticket), and clarity over complexity
Clear growth path into Senior Data Engineer, with room to start mentoring and shaping team practices along the way
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Location: UK, London
Workplace: OnSite
Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further.
ABOUT THE ROLE
We're hiring a VP of Sales to join our Business Development team based in London. In this role you will take ownership of business development in the Robotics / Warehouse / Logistics and Automotive / Manufacturing verticals. You’ll be at the front line of securing pre-sales, commercial agreements, strategic partnerships, and pre-orders for our robots.
This is a high-impact role for someone hungry to grow quickly, hit ambitious targets, and accelerate their career in robotics and automation.
WHAT YOU'LL DO
- Execute ambitious sales strategies targeting Warehouse / Logistics and Automotive / Manufacturing clients.
- Drive the full sales cycle: lead generation → pitching → negotiation → contract closure.
- Secure pre-sales, commercial agreements, and strategic partnerships for robots still in development.
- Develop and deliver compelling business cases & ROI analyses for potential customers.
- Build relationships with key decision-makers and stakeholders in target industries.
- Partner with product & engineering to align solutions with customer needs.
- Track market trends and competitor activity to refine go-to-market approaches.
WHAT WE'RE LOOKING FOR
- Bachelor’s or Master’s degree in Business, Engineering, or a related field.
- Background in robotics, automation, or advanced manufacturing technologies.
- 3-5 years’ experience in business development in Robotics/Warehouse/Logistics or Automotive/Manufacturing.
- Demonstrated success in reaching or exceeding sales targets, especially with complex or technical products.
- Strong network in the relevant industries and a track record of securing strategic partnerships.
- Exceptional negotiation, communication, and presentation skills.
- Expertise in calculating ROI and developing bulletproof business cases.
- Strong analytical and problem-solving skills with a results-driven mindset.
- P&L management and financial modeling experience.
- Ability to thrive in a fast-paced, high-pressure environment.
WHAT WE OFFER
- Competitive equity: stock options with meaningful upside as we scale.
- 30+ paid days off, including 23 days of annual leave, all UK bank holidays, and additional company closure days (including Christmas–New Year shutdown).
- Private healthcare, including virtual and in-person care.
- Pension scheme with 8% total contribution (5% employee, 3% employer) on full earnings.
- Free daily breakfast, catered lunch, and snacks in-office.
- Work at the frontier - collaborate daily with world-class engineers, researchers, and product experts building the next generation of AI and humanoid robotics.
- Real ownership - direct access to founding leadership, meaningful input on product direction, and the ability to drive key initiatives from day one.
Location: Singapore
DRW
is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it.
DRW
is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As a Software Engineer, Research Technology, you will contribute to and grow into a small team building the software platform that powers researchers running compute-heavy analyses on very large event-stream datasets. The workload is analogous to a game engine’s replay and simulation loop, a telco’s real-time packet pipeline, or a bigtech streaming and analytics platform, applied to financial market data. Domain expertise in trading and market microstructure is welcome but not required on day one; we invest heavily in onboarding and pair every new engineer with a mentor.
The stack: modern C++ for the throughput-critical ingest and simulation core, Python plus C++ bindings for research tooling, distributed compute across HPC (Slurm today, evolving). You will help deliver high-quality data, fast and flexible compute tooling, robust simulation and deployment systems, and ergonomics that let researchers iterate quickly. Work spans raw exchange data ingestion, distributed HPC orchestration, and research tooling.
Key responsibilities
Design, build, and maintain high-performance, scalable software and data systems used by quant researchers and trading teams.
Implement raw exchange data pipelines in modern C++ and operate them at high-throughput scale.
Orchestrate and improve reliability of data and compute pipelines on HPC clusters.
Create ad-hoc computation frameworks and research tooling that let researchers slice, backtest, and iterate rapidly (Python + C++ integrations).
Develop and maintain simulation frameworks tightly integrated with HFT/live trading platforms.
Support training and deployment of quantitative models used in trading.
Monitor, manage, and troubleshoot distributed platforms.
Optimize codebases for performance, reliability, and resource efficiency across the full stack.
Required qualifications
2+ years of professional experience building large-scale, high-performance systems; daily use of modern C++ (>=17) and Python expected.
Strong CS fundamentals: data structures, algorithms, networking, OS, concurrency, and system design.
Data engineering fluency: designing schemas, choosing storage formats, understanding compression and I/O trade-offs, and operating pipelines that write and read hundreds of TB. Comfortable reasoning about columnar formats (Parquet / Arrow) or their equivalents in your domain (event logs, telemetry, replays).
Experience designing and operating services or platforms used by other technical users in data-intensive environments.
Comfortable supporting internal users and iterating on ergonomics and workflows.
Demonstrated ability to ship production software safely and repeatedly, with an obsession for data driven quality.
Excellent written and verbal communication; collaborative mindset and empathy
Desirable / nice-to-have
Rust experience alongside C++ and Python.
Experience running compute at cluster scale: job scheduling, resource management, retries, and reliability. Slurm, Kubernetes, Ray, Spark, or custom internal schedulers all count.
GPU programming experience.
Familiarity with ML/Deep Learning frameworks.
Prior finance or market-data experience, including low-level market connectivity.
Historical network / packet processing (telco, network appliances, packet-capture replay infrastructure) - any exposure.
Deterministic simulation and replay systems (game engines, cell simulators, distributed-systems testing frameworks) - any exposure.
Dev-productivity or platform-engineering for internal users (making other engineers or researchers faster and safer) - any exposure, including internship or open-source work.
What we evaluate in the interview loop
We evaluate CS fundamentals, ability to reason about correctness and performance under real constraints, code quality, communication, and clear signs of growth (asks good questions, learns fast, takes feedback well). Depth of prior industry experience is not the bar; trajectory is. We do not test market-microstructure knowledge in loops; that is taught on the job. Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at
https://drw.com/privacy-notice
.
California residents, please review the California Privacy Notice for information about certain legal rights at
https://drw.com/california-privacy-notice
.
#LI-PR1
Location: Brisbane
Workplace: OnSite
ABOUT HALTER
At Halter, we’re on a mission to enable farmers and graziers to run the most productive and sustainable operations. Our customers are using Halter to break free from the time-intensive constraints of conventional practices. Imagine watching 500 cattle stand up and walk calmly towards their next break? No quad bikes, no dogs, no fences. Just a group of cattle walking at their own pace. People say it looks like magic. Our customers are revolutionizing grazing with Halter. It's changing lives and transforming an industry. People join Halter to do meaningful work. By joining us you’ll be solving challenging problems within a talented team and a culture built for high performance. Our team out-think, out-work and out-care. We’re committed to delivering real change in the world - this isn’t easy, and in truth, we love that it’s hard.
We’re backed to deliver on a mission that matters by Tier 1 investors including Founders Fund https://foundersfund.com, Bessemer Venture Partners https://www.bvp.com/, BOND, https://www.bondcap.com/ DCVC https://www.dcvc.com/, Blackbird https://www.blackbird.vc/, Promus Ventures https://www.promusventures.com/, Rocket Lab’s Peter Beck and Icehouse ventures https://www.icehouseventures.co.nz/?utm_term=icehouse%20ventures&utm_campaign=Brand+Keywords&utm_source=adwords&utm_medium=ppc&hsa_acc=4064636360&hsa_cam=16902737884&hsa_grp=134004309485&hsa_ad=592971340272&hsa_src=g&hsa_tgt=kwd-1082530126230&hsa_kw=icehouse%20ventures&hsa_mt=b&hsa_net=adwords&hsa_ver=3&gclid=Cj0KCQjw2v-gBhC1ARIsAOQdKY0J0DepRVFDmjQlAkJPbZuQnLSA5UVzUzOXYiPxkjX-SeVa513_BhkaAr-MEALw_wcB.
To find out more, visit our LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
ABOUT THE ROLE
As an Enterprise Onboarding Specialist at Halter, you lead the rollout of Halter across our largest and most complex customers - multi-farm operations running thousands of cattle across multiple sites, locations and management teams.
These are our highest-stakes deployments. They involve multiple stakeholders, from ownership and executive teams through to farm managers and crew on the ground. Success depends as much on relationship management, executive alignment and change management as it does on getting the technology working in the field.
You'll own onboarding for these customers: building the deployment plan across sites, managing senior stakeholders, supporting them to train animals, educating managers and crews, solving problems as they surface, and setting the operation up so Halter scales across their whole business, not just the first farm.
While some of the work happens remotely, time on farm matters. You'll regularly be in the field alongside customers, and travel is a real part of this role.
This role is senior, hands-on and highly ownership-driven. Every enterprise is different, and you'll tailor each onboarding plan to the way that business actually runs.
WHAT YOUR DAY COULD LOOK LIKE
- Build and run multi-site rollout plans, sequencing farms, aligning resources and keeping complex timelines on track
- Manage senior stakeholder relationships, from owners and executives to farm managers and crew, keeping everyone aligned on the plan and the outcomes
- Act as the trusted, single point of ownership through onboarding
- Lead training that lands across an enterprise account for all users
- Work directly with managers and crew on farm to embed Halter into day-to-day operations
- Navigate the change management side of enterprise adoption - differing levels of buy-in, established ways of working, and teams who need to be brought along on the journey
- Partner closely with Sales, Support & Product to coordinate seamless onboarding
- Solve problems quickly and adapt plans as conditions, people and priorities change
- Spot patterns across enterprise accounts and help optimise the playbook for how we deploy at scale
- Track the signals that matter to understand what's working and where we can improve, keeping key contacts across the customer informed at the right time
- Set enterprise customers up with the confidence and foundation to expand Halter across their entire operation
WHO ARE WE LOOKING FOR
- Significant experience owning senior customer relationships - relationship management, enterprise customer success, key account management, or customer experience leadership
- A track record with large, complex, multi-site or multi-stakeholder customers, where success depended on managing people as much as managing a plan
- Credibility with senior stakeholders: you're comfortable in a room with owners and executives, and equally comfortable in a paddock with a crew
- Experience leading complex rollouts or change programmes end-to-end
- Commercial judgment - you understand how these customers make decisions and what expansion depends on
- A practical, solutions-focused mindset when things don't go to plan
- Comfort working cross-functionally: pulling in the right people and keeping everyone aligned
- Clear, straightforward communication, and the ability to pitch it right for the audience in front of you
- Willingness to travel and spend lots of time on farm
- A genuine care for the people we serve and the quality of the work
Nice to haves
- Agriculture or farming experience, particularly with large-scale or corporate operations
- Experience in an enterprise-facing role at a startup or high-growth company
- Familiarity with Salesforce
BENEFITS
- Importantly, we offer an inclusive and attractive remuneration package made up of salary, benefits and an employee stock ownership plan.
- Healthy body, healthy mind. We’re partnered with Medibank Health Insurance to support your well-being.
- Our personal growth is important. Halter offers an annual $1000 self-development budget to be used for anything that fuels personal growth.
- We offer 6 months of fully paid parental leave for primary caregivers, 4 weeks of fully paid secondary caregiver leave and many other parental benefits that support you and your family.
- Our time to recharge is valued, we’re offered wellness leave and unlimited paid annual leave.
OUR OFFICE FIRST APPROACH
There’s a reason you visit your friends in person, live with your family and don’t do dinners over Zoom. Humans are wired for connection. We believe a world-class, in-person office culture is the best way for high-performing teams.
Being office first is a core pillar of our culture. We believe in-person connections are key to driving your own growth, learning, impact, and building genuine long-lasting relationships. Strong relationships make it easier to disagree, give feedback, and do meaningful and aligned work. We don’t like having heaps of rules or policies, but this means having strong, trusted relationships is critical.
We’re office first, not office only. This means working from the office everyday is our default setting, but we flex when we need to. We have a high-trust culture, so everyone is trusted to do what’s best for Halter.
Our office vibe is something special, it’s hard to describe until you’re here, but people at Halter who have come from fully remote or hybrid companies say they could never go back - the high energy and spectacular people they are now surrounded by everyday makes work so enjoyable. Your growth, your learning and your impact is truly unlimited here, and a big part of that comes from being together solving problems, innovating, building context, and constantly learning from each other.
JOIN OUR TEAM
Halter is committed to promoting a diverse and inclusive workplace — a place where we can each be ourselves and do the best work of our lives. Research shows that while men apply to jobs when they meet an average of 60% of the requirements, women and under-represented groups of candidates tend to only apply when they meet every requirement. If you think you have what it takes but don’t necessarily tick every requirement on this job description, please still get in touch and apply to Halter. We’d love to chat to see if you’ll be an epic fit!
If this opportunity sounds like you, please apply below by sending through your cover letter explaining why you’re excited about this role and working at Halter, along with your CV, and we’ll be in touch!
Please also feel free to check out the careers page https://www.halterhq.com/careers for more information on working at Halter and don't forget to follow us on LinkedIn https://www.linkedin.com/company/halter-limited & Instagram https://www.instagram.com/lifeathalter/.
WHY OUR TEAM LOVES WORKING AT HALTER:
- Work that genuinely matters. Every now and again a company comes along that transforms an entire industry and leaves the world in a better place. Our team gets to be part of something truly meaningful, helping farmers improve their livelihoods, spend more time with their families, and build more sustainable operations.
- Spectacular people solving hard problems. Our culture is designed for talented people to do work that changes lives. The team is filled with diverse, kind, and driven people who push each other to do their best work. You'll be thrown into the deep end, tackling complex challenges and building something tangible that solves real problems.
- You'll grow here. Autonomy, mastery, and learning define how we work. You'll have the freedom to work on interesting problems, master new skills, and continuously develop yourself, both through your role and our personal growth fund.
- This isn't easy, and we love that it's hard. Working at Halter will be the most rewarding and the most challenging work of your life. We move fast, take bold bets, and work hard to reshape an entire industry. As one team member put it: "Joining Halter is a bit like strapping yourself to a rocket ship, but it's an epic journey to be a part of!"
Location: Milan, Italy
Are you ready to grow with the world’s largest law firm? Join Dentons Italy Team today.
Dentons Italy is currently looking to grow its Project, Energy and Infrastructure business unit with the appointment of an Associate based in our Milan office. The successful candidate will work on a wide range of high-profile domestic and cross-border transactions in the energy and infrastructure sectors, with a 360 degree approach spanning from project financing, M&A, project development, project contracts to legal due diligence exercise on the full set of energy and infrastructure assets in Italy and abroad.
Our Project, Energy and Infrastructure Team consists of highly industry specialized lawyers, recognized among the best for their areas of expertise. The Project, Energy & Infrastructure business unit is part of the Banking & Finance department and becoming a member of such a team will mean being part of a rapidly growing and dynamic group, as well as receiving specific training and being involved in the most innovative legal issues and market prominent transactions. Our clients are medium and large Italian and international companies belonging to different business areas, lenders, funds, investors, IPP and contractors.
Dentons offers a diverse range of activities in a dynamic work environment, practice-oriented training in an international context and the opportunity to gain 360 degree work experience. Dentons is not only the largest law firm in the world, providing quality and value to clients, but it is also a world-class firm of high profile professionals.
Dentons is a leader in the Acritas Global Elite Brand Index, winner of the BTI Client Service 30 Award and recognized by leading business and legal publications for its innovations in client service, including the founding of Nextlaw Labs and the Nextlaw Global Referral Network. Dentons' polycentric approach and talents challenge the status quo to promote client interests. We are always looking for the best professionals.
Our DNA is made up of talent, innovation and passion.
Requirements
Italian Law Degree with a minimum score of 105/110.
Current license to practice law in Italy.
Newly qualified to 3 years PQE in the Project, Energy & Infrastructure field, gained in a comparable law firm.
High level of English (Certificate C1). Other foreign languages are a plus.
Vocation and motivation for exercising the legal profession.
Excellent negotiation and communications skills.
Global mindset and enthusiasm.
You are able to adapt to an international environment and eager to grow both professionally and personally with us.
Benefits
Enrollment in the firm's training plan.
Competitive rewarding package.
A clearly structured career path.
You will have access to Daisy, Dentons' proprietary AI tool.
You will work closely with professionals who are recognized among the best in their areas of practice, in an international and stimulating working environment.
Welfare program.
Personal Budget for Training.
Agile Working (as per internal policy).
Opportunity to perform pro bono legal assistance.
Involvement in corporate events (e.g. annual Fee Earners Retreat).
About us
Across over 80 countries, Dentons helps you grow, protect, operate and finance your organization by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you.
www.dentons.com
Diversity & Inclusion
Essential to our success as a global law firm is our ability to attract and retain the best talent from a diverse range of backgrounds. We want a work environment where everyone can reach their potential and we have an inclusive culture, which respects individual differences.
We undertake and support a number of internal and external initiatives aimed at increasing diversity within the profession and we encourage all our partners and staff to get involved. We welcome you to learn more about diversity and inclusion at Dentons.
Location: Sofia, Bulgaria
Director of Process Management
(Full-Time; Hybrid; Operations)
Since 2007, MMDSmart has been a leading supplier in cloud communications, delivering game-changing IT products to businesses in over 100 countries. Our success is fueled by the inspiration and innovative ideas of our team members, encouraging their growth and impacting our Messaging and Voice solutions. These empower our clients to communicate more effectively with their customers. Don’t miss this chance to excel in a rapidly expanding tech company, where your potential and ambitions are not just recognized, but celebrated.
We are looking for a Director of Process Management who designs, implements, and governs the overall corporate process structure to define, standardize, and scale business operations. This executive position directly leads the Process Management team - consisting of a Jira Administrator, a Salesforce Administrator, and a Documentation Specialist - to translate high-level process architecture into automated, enforced, and fully documented system.workflows.
Key Responsibilities:
Framework & Process Architecture: Define company-wide BPM principles, standards, and common operational language; create guidelines, policies, and frameworks for process modeling, standardization, and continuous improvement.
Team Leadership & Platform Governance: Direct, mentor, and set priorities for the Jira Administrator, Salesforce Administrator, and Documentation Specialist to ensure tool configurations and documentation align with core process standards.
Process Analysis & Re-Engineering: Map, visualize, and analyze existing cross-departmental workflows to identify inefficiencies, errors, and delays; plan and execute short- and long-term business process re-engineering projects.
Executive Support & Stakeholder Alignment: Work directly with senior management across all business units to gather process data, build buy-in for BPM concepts, and provide hands-on guidance during rollout phases.
Monitoring, Compliance & Metrics: Establish continuous auditing procedures to ensure ongoing organizational compliance with corporate BPM standards; define and track process efficiency metrics to demonstrate cost reduction and quality gains.
Knowledge Base Oversight: Guide the Documentation Specialist in building and maintaining a centralized repository of standardized operating procedures (SOPs), process visualizations, and user guides.
Requirements
Management Experience: 3+ years of leadership experience in business process management, business architecture, or operational excellence, including direct management of technical and operational specialists.
BPM & Methodology Expertise: Deep working knowledge of process modeling methodologies (e.g., BPMN, Lean, Agile) and visualization tools (e.g., Drawio, Miro).
Tool & Platform Proficiency: Functional understanding of Jira (Agile administration, workflow automation) and Salesforce (CRM process execution, data governance) sufficient to oversee platform administrators.
Change Management & Communication: Proven ability to manage organizational change and collaborate effectively with C-level executives and department heads to drive adoption.
Strategic & Analytical Mindset: Demonstrated capability to design long-term operational roadmaps, turn qualitative feedback into quantitative process improvements, and control operational costs.
Education & Credentials: Bachelor’s or Master’s degree in Business Administration, Operations Management, BPM certifications (e.g., CBPP, Lean Six Sigma Black Belt) are preferred.
Benefits
Why do talents choose and stay at MMDSmart?
Embrace the opportunity to work in a company that cares about:
Your Wellness:
Access to mental health programs, comprehensive medical insurance, and a sports card*.
Your Happiness:
Enjoy the company of cool teammates, a friendly atmosphere, a strong mentorship, and a variety of bonuses & corporate gifts.
Your Development:
Benefit from free educational events & courses, and English classes with native speakers.
Your Career:
Focus on your professional development in a supportive environment.
Work-Life Balance:
Choose your working format – remote, office-based, or hybrid and engage in team-building activities.
Think this role’s got your name on it? Go ahead and apply, we’d love to see what you’ve got!
Equal-Opportunity Employment
We are an equal opportunity employer committed to creating a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Location: San Francisco
Workplace: Hybrid
WHY HARVEY
At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.
This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.
Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.
At Harvey, the future of professional services is being written today — and we’re just getting started.
ROLE OVERVIEW
As a Staff Software Engineer on the Model Infrastructure team, you'll lead the design and development of the systems that power every AI request at Harvey. You'll partner closely with AI Research, Product Engineering, Infrastructure, and external model providers to build a platform that is highly reliable, scalable, observable, and efficient.
WHAT YOU’LL DO
- Lead the design and implementation of Harvey's Model Infrastructure platform.
- Build systems to ensure high availability, low latency, and operational excellence for AI inference.
- Design and improve Harvey's Unified Model Controller (UMC) and Model Selector platform to automatically detect model degradations and intelligently route traffic based on reliability, latency, quality, compliance, and cost.
- Develop systems for model provisioning, capacity management, failover, and traffic engineering across multiple AI providers.
- Integrate new model providers and maintain provider APIs and SDKs, enabling Harvey to rapidly adopt emerging frontier models.
- Improve observability through health dashboards, alerting, token usage analytics, cost reporting, and end-to-end telemetry.
- Partner with Product Engineering to support model launches, experimentation, and proactive monitoring of production AI workloads.
- Drive infrastructure efficiency through capacity planning, utilization optimization, and cost visibility.
- Collaborate with AI Research to build the infrastructure foundation for future model evaluation, training, and deployment.
- Lead cross-functional technical initiatives and mentor engineers across the organization.
WHAT YOU’LL BUILD
- Model Reliability & Operations
- Model health monitoring
- Automated failover and recovery
- Capacity provisioning
- Operational tooling and incident automation
- Unified Model Controller (UMC)
- Policy-based model routing
- Intelligent Model Selector
- Model health monitoring
- Traffic management
- Reliability and latency optimization
- Provider Platform
- Multi-provider architecture
- API and SDK integrations
- OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, and future providers
- Rapid adoption of new frontier models
- Observability & Cost Platform
- Token usage analytics
- Cost attribution
- Latency and reliability dashboards
- Capacity forecasting
- Utilization optimization
- AI Platform Foundation
- Infrastructure supporting model evaluation
- Model deployment and operations
- Future model training platform
- Agent infrastructure and CcaaS
WHAT YOU HAVE
- 10+ years of software engineering experience building large-scale distributed systems.
- Experience designing and operating highly available production services.
- Strong programming skills in Go, Java, Python, Rust, or C++.
- Deep understanding of distributed systems, cloud infrastructure, networking, and observability.
- Experience leading technical projects across multiple engineering teams.
- Ability to balance long-term architecture with pragmatic execution.
- Strong communication and collaboration skills.
- Passion for building foundational platforms that enable other engineering teams.
NICE TO HAVE
- Experience with AI infrastructure, LLM serving, or machine learning platforms.
- Experience with model routing, inference gateways, or policy-based serving systems.
- Experience working with OpenAI, Anthropic, Azure OpenAI, Fireworks, Baseten, or open-source LLMs.
- Experience with Kubernetes, cloud infrastructure, and service mesh technologies.
- Experience with large-scale observability and SRE best practices.
- Experience with data infrastructure technologies such as Kafka, Spark, Flink, Airflow, or Iceberg.
- Familiarity with GPU infrastructure or model training platforms.
COMPENSATION
$236,000 - $340,000 USD
DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74.
#LI-AK1
Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai
Location: Atlanta, GA
About Ernesta
Ernesta is on a mission to bring gorgeous, design-focused custom rugs to homes and places of gathering through an enjoyable, frictionless, and affordable experience. At the same price as a store-bought standard-sized rug, a custom-cut rug from Ernesta will not only be a better fit, but also a better buying experience. We believe that high-quality custom design shouldn't be out of reach for consumers and aim to address this need in the multi-billion-dollar global rug industry.
Driven by our collective mission, our team is hungry, hardworking, and highly ambitious. We’re problem solvers, innovators, design enthusiasts, and executors. We are relentlessly focused on creating and delivering beautiful and delightfully simple solutions and experiences for our customers. Together, we are excited and humbled by the opportunity to expand the market for custom rugs and allow more people to live in elevated design settings. Put simply, we believe more soft surfaces mean happier homes.
About the Role
Ernesta is looking for an experienced
Retail Trade Account Executive
to join our Retail team. This role will report to the Showroom Leader and be responsible for building and growing Ernesta’s trade business within the local design community.
At Ernesta, we believe long-term partnerships are more valuable than one-time sales. As a Retail Trade Account Executive, you will own and nurture relationships with interior designers, architects, and other trade partners—becoming a trusted resource for their projects and helping them incorporate Ernesta into their work.
You will be equally focused on
growing existing relationships and creating new ones
, proactively developing a pipeline of trade business through thoughtful outreach, exceptional service, and consistent follow-through. You will build relationships both inside and outside of the showroom, spending approximately
20–30% of your month in the local trade community
through firm and office visits, Lunch & Learns, industry events, networking, and other relationship-building opportunities.
This is an entrepreneurial sales role for someone who is energized by building a book of business, passionate about design, highly organized, and motivated by results. You will work closely with the Showroom Leader and Design Assistants to ensure our trade partners receive a best-in-class Ernesta experience from initial introduction through project completion and beyond.
What You’ll Do
Build and grow Ernesta’s local trade business
by developing meaningful, long-term relationships with interior designers, architects, and other trade partners.
Own a portfolio of trade accounts and proactively develop those relationships to drive repeat projects, retention, and revenue growth.
Identify, prospect, and acquire new trade accounts within the local design community through targeted outreach, referrals, networking, and community engagement.
Activate new trade accounts by understanding their business, introducing them to Ernesta’s products and services, and identifying opportunities to support active and future projects.
Business Development:
Spend approximately
20–30% of your month externally
meeting with the trade community through designer and firm office visits, Lunch & Learns, industry events, networking opportunities, and other relationship-building activities.
Develop a strong understanding of each trade partner’s business, aesthetic, project pipeline, and needs to provide relevant and personalized support.
Deliver exceptional product and design expertise across materials, construction, sizing, styling, custom services, and the Ernesta assortment.
Provide an elevated, consultative sales experience rooted in listening deeply and recommending solutions tailored to each project.
Maintain consistent and thoughtful follow-up across sample orders, open quotes, active projects, and previously engaged accounts.
Maintain an organized and actionable account pipeline, including clear next steps, project timelines, relationship activity, and opportunities for growth.
Partnerships within Retail and HQ:
Partner with Design Assistants and the Showroom Leader to deliver a seamless experience when trade partners bring clients or projects into the showroom.
Host and support showroom events that strengthen Ernesta’s presence within the local design community.
Share feedback from the trade community with internal partners to help improve our products, services, tools, and overall trade experience.
Track performance and maintain accountability to goals across trade revenue, new account acquisition, account activation, pipeline development, retention, and relationship growth.
Represent Ernesta externally with professionalism, integrity, enthusiasm, and a genuine passion for design.
What Success Looks Like
You develop trusted relationships with trade partners who increasingly turn to Ernesta as a resource for their projects.
You consistently grow revenue from your portfolio through repeat business and deeper account relationships.
You proactively build the business by creating new relationships rather than relying solely on inbound showroom traffic.
New trade accounts become active customers with meaningful project pipelines and repeat purchasing behavior.
You maintain a healthy and well-managed pipeline with clear visibility into opportunities, next steps, and expected timing.
You are known within the local design community as a knowledgeable, responsive, and reliable partner.
You work collaboratively with the showroom team while taking personal ownership of your accounts and results.
You consistently demonstrate Ernesta’s values of customer centricity, integrity, passion for design, collaboration, growth mindset, and reliability.
Qualifications Include
1–2+ years of relevant experience
within interior design, home furnishings, architecture and design sales, trade sales, account management, or a related design-focused industry.
Demonstrated ability to build strong professional relationships and develop trust with clients or accounts over time.
Passion for interior design, home décor, architecture, and the broader design community.
Entrepreneurial and self-motivated, with the drive to proactively create new business opportunities and grow a book of business.
Commercially minded and motivated by achieving sales and relationship-growth goals.
Highly organized with strong time management skills and disciplined follow-through.
Comfortable prospecting, initiating new relationships, and engaging people you have not previously worked with.
Confident communicating and presenting one-on-one and to groups, including designers, architects, and design firms.
Curious and consultative, with the ability to listen deeply, understand project needs, and recommend thoughtful solutions.
Solutions-oriented with sound judgment, business sense, high integrity, and a willingness to take ownership.
Comfortable managing multiple accounts, projects, quotes, samples, and follow-up timelines simultaneously.
Strong written and verbal communication skills across in-person, phone, email, text, and video interactions.
High level of comfort working across digital tools and systems used to manage customer relationships, communication, and sales activity.
Ability and willingness to travel locally for trade meetings, office visits, Lunch & Learns, and industry events.
Ability to work a flexible retail schedule as needed, including occasional evenings, weekends, or events based on the needs of the business and local trade community.
Nice to Have
Existing relationships within the local interior design, architecture, or home furnishings community.
Experience working in a high-end or design-focused showroom environment.
Experience managing a portfolio or book of trade, designer, or professional accounts.
Experience with custom products, textiles, rugs, furniture, or other home furnishings.
Experience with design tools, spatial planning, or custom measurement processes.
BA or experience working in a creative field such as interior design, architecture, art history, or a related discipline.
Ernesta is committed to inclusion. We are an equal opportunity employer and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
This role pays an hourly rate of $30/hour plus a quarterly bonus. The anticipated maximum annual compensation range for this role (including the quarterly bonus) is approximately $90,000.
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London, United Kingdom
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Singapore; Candidates from bigtech, telco, gaming, or research-computing backgrounds have transferable skills for this role and are actively encouraged to apply
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