Location: Brisbane, Australia
Who We Are?
We are EnerMech, a specialist service company that delivers safe, integrated solutions for complex energy projects.
For over 50 years, we’ve been energizing our clients across the world with unrivalled expertise, equipment, and technology that supports the entire asset life-cycle – offshore and on land.
We enable progress through our three global business lines: Energy Solutions, Infrastructure & Industrial Solutions, and Lifting Solutions. Within these areas, we offer a wide range of services, including cranes, lifting, fluid power, training, equipment rental, pipeline and subsea, process, and valves – all designed to help our clients optimize performance, enhance reliability, and improve efficiency. With a focus on operational excellence, we deliver value through our customized integrated solutions. This approach reduces risk and enhances efficiencies making us a leading and trusted partner every step of the way.
About the Role
Are you mechanically minded, quality focused, and looking for a hands-on role within a growing industrial services business? We are seeking a
Hose Management Technician
to join our Brisbane team in a permanent full-time capacity.
This role will be primarily supporting the Ampol Oil Refinery in Lytton, playing a key role in the planning, execution and safety of the Hose Integrity Management program on-site.
Reporting to the Hose Management Team, you will play an integral role in ensuring the safe manufacture, inspection, testing, and delivery of hose assemblies while providing exceptional customer support and technical expertise.
Key responsibilities include:
Receiving, inspecting, and managing incoming and outgoing hose assemblies.
Conducting QA/QC activities associated with hose manufacture, delivery, and dispatch.
Manufacturing hose assemblies in accordance with company procedures and relevant industry standards.
Assisting with hose pressure testing and certification activities.
Coordinating hose deliveries and logistics to customer sites.
Carrying out hose inspection, maintenance, and management activities at client locations.
Building and maintaining strong relationships with customer representatives and hose focal points.
Providing technical assistance regarding hose specifications, applications, and maintenance requirements.
Conducting inspections of used hose assemblies and preparing detailed condition reports for customers and internal stakeholders.
Maintaining a safe, organised, and efficient workshop environment.
Requirements
About You
To be successful in this role, you will ideally possess:
Minimum 2+ years experience in a mechanical, hydraulic, hose, industrial services, maintenance, or workshop environment.
Strong mechanical aptitude and attention to detail.
Experience with quality assurance and inspection processes.
The ability to read and follow technical procedures and industry standards.
Strong customer service and relationship-building skills.
Confidence in using Microsoft Outlook and Excel.
Good organisational and time management abilities.
A current driver's licence.
Full Australian Working Rights
A proactive attitude and commitment to workplace safety.
Desirable
Experience in hose assembly, hydraulic systems, fluid transfer equipment, or asset integrity services.
Exposure to industrial, mining, oil & gas, manufacturing, marine, or bulk fluids industries.
Forklift licence.
Pressure testing or inspection experience.
Benefits
What We Offer
Permanent full-time employment.
Brisbane workshop-based role with occasional site travel.
Competitive salary package.
Ongoing training and career development opportunities.
Supportive team environment.
Opportunity to work with industry-leading hose management and maintenance solutions.
A strong safety-focused culture.
Apply Now
If you are looking for a rewarding hands-on role where you can develop your technical skills and work closely with valued customers, we'd love to hear from you.
Submit your application today and become part of a team committed to quality, safety, and exceptional customer service.
Location: Ho Chi Minh City, Vietnam
About Our Client
Our client is a well-established medical technology and healthcare distribution company committed to providing clinically proven, safe, effective, and high-quality products to healthcare professionals.
Since its establishment, the company has focused on introducing advanced medical technologies and healthcare solutions to the market while maintaining high standards of quality and customer service.
With a strong presence across multiple countries in the region, our client serves a broad network of clinics, hospitals, and healthcare providers through an extensive distribution network, supported by long-term partnerships and a commitment to innovation.
Job Description
Our client is looking for Senior Medical Representatives who are passionate about re-energising an established brand and expanding its customer base. The ideal candidate is proactive and commercially minded, with the ability to identify new customer opportunities, develop existing accounts and build strong relationships that translate into sustainable sales growth.
Our client is particularly looking for talents who understand the value of KOLs and influencers in driving business growth and can identify those with genuine potential, credibility, relevance, influence within the target customer community and ability to create meaningful demand for the brand.
This person should enjoy being in the market, developing relationships, uncovering opportunities, and turning those opportunities into tangible sales results.
Key Responsibilities
Client Relationship Management: Build and maintain long-term relationships with doctors and key opinion leaders (KOLs).
Sales Target Achievement: Meet or exceed monthly and quarterly sales goals through new business development and strong customer engagement.
Market Research & Strategy: Stay up to date with market trends and competitor activity to optimize product positioning and strategy.
Product Training & Education: Educate clients on product benefits and proper usage.
Reporting & Analysis: Submit regular sales performance reports and market feedback.
Key Requirements
Bachelor’s degree in Pharmaceutical Sciences, Life Sciences, or a related field.
Minimum 4 years of experience in medical/pharmaceutical sales.
Existing experience in dermatological or skincare products, preferably in mid premium segment.
Excellent communication and interpersonal skills – understanding and ability to communicate in English.
Strong negotiation and persuasion abilities and ability to position products based on technology and clinical advantages.
Understanding of Clinic and stakeholder motivations, influencing factors and “partnership” mindset.
Strong Business acumen & hunger to maximize potential with existing client and drive new clinic expansion and curiosity to understand business potential.
Strong collaboration mindset and desire to work with colleagues for synergies.
Self-driven, goal-oriented, and proactive.
Why choose our client?
Supportive workplace culture
Excellent exposure with continuous learning opportunities
Clear paths for career growth and advancement
Location: Colombia; Mexico; Argentina; Brazil; Costa Rica; El Salvador
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Job Summary
This is a rare 0→1 Founding Engineer opportunity to build a financial platform from the ground up within an already established and profitable ecosystem.
We are looking for an exceptionally strong, hands-on engineer with direct fintech experience who has previously built core banking, payments, ledger, cards, or money-movement infrastructure at an established fintech, neobank, or financial technology company.
This is not a management-first position. We need someone who still wants to architect systems, solve difficult technical problems, and write production code. You will work directly with the founders and an existing technical developer, taking significant ownership of the architecture, product, and technical direction.
As the platform scales, you will also have the opportunity to help shape and build the engineering team around you.
Key Responsibilities
Architect and build core financial infrastructure, including accounts, balances, ledgers, transaction state machines, and money-movement systems.
Build KYC/KYB, onboarding, compliance, permissions, limits, and approval workflows.
Design integrations with banking partners, card issuers, payment rails, FX providers, and other financial infrastructure partners.
Develop provider-independent architecture that supports multiple banking and financial providers without vendor lock-in.
Build secure, reliable APIs and financial data models capable of handling reconciliation, event processing, retries, and exception handling.
Own technical problems end-to-end, from architecture and database design through implementation and production deployment.
Work directly with the founders to translate product requirements and business constraints into scalable technical solutions.
Help establish engineering standards, technology choices, and the long-term technical direction of the platform.
Requirements
3–8+ years of professional software engineering experience with strong backend or full-stack fundamentals.
Direct experience building financial infrastructure within a fintech, neobank, payments company, or similar financial technology environment.
Experience with core banking, payments, ledgers, cards, FX, reconciliation, KYC/KYB, or money movement.
Proven experience building production-grade APIs and distributed systems.
Strong database architecture and data-modeling skills.
Experience with asynchronous workflows, queues, events, retries, idempotency, and transaction processing.
Strong engineering judgment and product instincts, particularly when balancing speed, scalability, reliability, and correctness.
Comfortable operating in a highly ambiguous 0→1 environment and taking significant ownership without requiring extensive direction.
Natural initiative, creativity, and problem-solving ability.
Highly hands-on and excited to continue writing production code rather than moving into a primarily managerial role.
Nice-to-Haves
Experience as a strong individual contributor, early engineer, founding engineer, or technical lead within a high-growth fintech.
Background at companies such as Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, Modern Treasury, or similar.
Deep understanding of financial ledgers, reconciliation, transaction processing, or money-movement architecture.
Experience integrating multiple banking, payment, card, or financial infrastructure providers.
Familiarity with regulatory and compliance requirements surrounding KYC/KYB and international financial services.
Experience building multi-currency, FX, card issuing, or cross-border payments products.
Previous experience helping build a product or engineering function from an early stage.
Benefits
💰 Milestone-based compensation
🌎 Fully remote and flexible work environment
🚀 High-impact founding role with 0→1 ownership
📈 Direct influence over architecture and technical direction
🎯 Opportunity to build on top of an already profitable platform
🛠️ Modern tech stack and provider-agnostic architecture
🧠 Collaborative environment working directly with experienced founders
Location: South Africa; Pakistan; Philippines
About Huzzle
At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include fast-growing startups, digital agencies, SaaS companies, and tech-enabled businesses across industries such as MarTech, FinTech, EdTech, and eCommerce. Unlike traditional outsourcing agencies, we place you directly with innovative companies where you become a valued member of the team.
Job Summary
This is a rare 0→1 opportunity to build a financial platform from the ground up within an established and profitable ecosystem.
We are looking for a highly hands-on Founding Fintech Engineer – Banking & Payments who has previously built serious financial infrastructure and now wants significantly more ownership.
You will work directly with the founders and alongside an existing technical developer to architect and build a neobank-style platform spanning business onboarding, KYC/KYB, accounts, payments, cards, FX, ledgers, reconciliation, and money movement.
This is not a traditional engineering management position. We are looking for a strong individual contributor or technical lead who remains deeply technical, enjoys writing production code, and is comfortable solving difficult problems without an established playbook.
As one of the earliest engineers on the financial product, you will have substantial influence over architecture, technology choices, financial domain models, provider integrations, engineering standards, and eventually the team built around the platform.
Key Responsibilities
Architect and build core financial infrastructure, including accounts, balances, ledgers, KYC/KYB workflows, transaction state machines, and reconciliation systems.
Design and implement integrations with regulated banking partners, card issuers, payment providers, and payment rails including ACH, wires, international payments, and FX.
Build provider-independent architecture that enables integration with multiple banks and financial infrastructure partners without creating dependency on a single provider.
Develop secure, reliable financial APIs and data models capable of supporting complex transaction and money-movement workflows.
Build asynchronous systems involving queues, events, retries, idempotency, exception handling, and transaction processing.
Develop card issuing and card management integrations alongside multi-currency and FX functionality.
Build internal operations, compliance, permissions, limits, and approval tooling.
Own systems and features end-to-end, from architecture and database design through implementation, testing, deployment, and production operation.
Work directly with the founders to translate business and product requirements into pragmatic technical solutions.
Establish engineering standards and technical foundations that can support the future engineering team.
Take initiative in ambiguous situations and independently identify solutions to complex technical and product problems.
Requirements
3–8+ years of professional software engineering experience with excellent backend or full-stack fundamentals.
Strong hands-on experience building production-grade APIs, backend services, and distributed systems.
Proven experience working on complex systems where reliability, consistency, and data integrity are critical.
Strong database architecture, data modeling, and system design skills.
Experience with asynchronous workflows, including queues, events, retries, idempotency, and failure handling.
Strong engineering judgment and the ability to balance speed, scalability, reliability, and maintainability.
Demonstrated experience owning technical systems or major product areas end-to-end.
Strong product instincts and an ability to translate ambiguous requirements into working software.
Comfortable operating in a fast-moving, early-stage or 0→1 environment.
A natural technical leader who takes initiative without needing a large team or established processes.
Highly hands-on and genuinely excited to continue writing and shipping production code.
Nice-to-Haves
Significant hands-on experience within fintech, neobanking, banking infrastructure, payments, or financial technology.
Experience building core banking, payment, ledger, card, FX, reconciliation, or money-movement infrastructure.
Previous experience as an individual contributor or technical lead at a leading fintech, neobank, payments company, or financial infrastructure provider.
Background at companies similar to Revolut, Wise, Monzo, N26, Nubank, Brex, Stripe, Plaid, Airwallex, Nium, Razorpay, Adyen, Checkout.com, PayPal, Column, or Modern Treasury.
Experience designing financial ledgers, transaction state machines, or reconciliation systems.
Familiarity with KYC/KYB, compliance workflows, and regulated banking integrations.
Experience with card issuing or payment-processing infrastructure.
Experience building multi-currency or FX-heavy financial products.
Experience integrating multiple banking or financial infrastructure providers into a single platform.
Previous experience joining an engineering organization early and helping take a product from 0→1.
Benefits
💰 Milestone-based compensation
🌎 Fully remote and flexible work environment
🚀 High-impact founding role with 0→1 ownership
📈 Direct influence over architecture and technical direction
🎯 Opportunity to build on top of an already profitable platform
🛠️ Modern tech stack and provider-agnostic architecture
🧠 Collaborative environment working directly with experienced founders
Location: Lagos, Nigeria
Who we are
We’re a passionate team determined to challenge the status quo and make financial inclusion count for the millions of under-banked individuals and small business owners in Nigeria. We provide loans, savings, and fixed deposit solutions to our customers. Our vision is to be the most convenient lending company, delivering outstanding service experience.
The position
At Renmoney, we’re solving real-world problems with innovation, technology, and a mission to deepen financial inclusion. As Executive Assistant, you will work directly with our C-suite and play a critical role in driving efficiency, strategic alignment, and operational excellence across the organization. This is more than an administrative role: you will be a thought partner, execution leader, and force multiplier for executive leadership.
What you’ll do
Serve as a key liaison between the Executive Office and internal/external stakeholders, ensuring information flows smoothly and priorities are well-coordinated
Track high-impact initiatives and business priorities, ensuring follow-through and accountability across departments
Prepare briefing documents, reports, presentations, and memos for executive decision-making
Facilitate effective meetings by developing agendas, recording and following up on action items, and supporting communication between cross-functional teams
Lead special projects and initiatives on behalf of the Executive Office
Manage executive calendars, travel plans, and high-level engagements with discretion and foresight
Conserve the leadership team’s time by proactively anticipating needs, handling sensitive correspondence, and supporting day-to-day business operations
Maintain an organized and secure system for managing executive documents and strategic materials
Provide critical support during board meetings, strategy offsites, and external stakeholder engagements
Requirements
Proven ability to operate in fast-paced, high-growth environments
Experience supporting C-suite leaders directly, coordinating across department heads, and managing external parties such as key partners
Strong business writing and presentation skills for executive audiences
Proficiency with Microsoft Office tools and report development
Education & Experience
Bachelor’s degree in any field (a business-related degree is a plus)
Minimum of 3 years of experience supporting executive leadership or leading operational functions
Experience in tech, financial services, or a startup environment is an advantage
Based in Lagos, Nigeria, with eligibility to work in Lagos, Nigeria
Benefits
You’ll receive competitive compensation and work with passionate, driven people.
You’ll collaborate directly with leadership on strategic initiatives and help shape the future of a brand solving meaningful problems.
You'll be part of a flat, agile structure where your work creates real impact.
Client: A global online sports betting company dedicated to building world-class technology products.
Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery.
Responsibilities:
— Design, build, and maintain data and reporting solutions using modern technologies.
— Test and develop Integration layer changes, ensuring user stories meet quality standards.
— Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations.
— Perform comprehensive test analysis and collaborate across cross-functional Agile teams.
Requirements:
— 3+ years of demonstrated experience with validation in Databricks.
— In-depth experience in developing and maintaining automated test suites.
— Proficiency in Python (preferred) and SQL.
— Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure).
— Strong skills in Database, ETL, Big Data, and API validations.
— Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git).
— Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL).
— Solid background in Agile ways of working.
Nice to have:
— Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK).
— Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL).
— Experience using Jira and XRAY for test management.
— Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki).
What We Offer:
— Vacation days: Up to 26 business days per year.
— 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types.
— Health and life insurance (Luxmed).
— MyBenefit platform with Multisport option.
— Internal psychological support service.
— English language classes from the first working day.
— Access to external learning platforms: O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training.
— Flexible workplace: work from the office, from home, or choose a hybrid option.
— Tech Skills Mentoring Program.
— Opportunities to develop as a public speaker, mentor, or technical interviewer.
— Fully paid idle (bench) when not involved in a project.
— Certification reimbursement (AWS, GCP, Microsoft, etc.).
УдалённоseniorГеография найма не уточнена, офис: Wrocław
Location: Colombia
Reports to:
Executive Director
Location:
Fully Remote
About the Company
Our client is a fast-growing, forward-thinking organization focused on reimagining how businesses operate through innovation, care, and agility. Their culture emphasizes collaboration, transparency, and trust, with a strong focus on empowering team members to take ownership, share ideas openly, and grow alongside the business. They value speed, adaptability, and continuous learning, and they celebrate progress and wins at every stage.
About the Role
The Finance & Data Analytics Manager will serve as the strategic owner of the company’s financial visibility and business performance insights. This role is responsible for overseeing financial operations while transforming data into actionable intelligence that supports decision-making across leadership, sales, and operations. The position blends finance, analytics, and operational reporting, with ownership over forecasting, financial reporting, sales analytics, and cash flow visibility. Success in this role requires the ability to connect financial data with operational outcomes and ensure leadership has clear, timely insights to act with confidence.
Responsibilities
Manage and analyze sales, expense, and performance data to produce clear, data-driven insights
Build and maintain dashboards and financial models that track overall company health and sales performance
Oversee bookkeeping and ensure financial records are accurate, organized, and current
Lead payroll review, billing, and payment processes with a focus on accuracy and timeliness
Review and process agent invoices and commission calculations
Reconcile accounts and track inventory across systems to ensure data consistency
Partner with leadership on revenue forecasting, growth modeling, and KPI tracking
Identify opportunities to improve processes and automate finance and reporting workflows
Experience & Education
5+ years of experience in finance, FP&A, or data analytics roles
Experience in e-commerce, DTC, or fast-moving startup environments
Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, or a related field
Advanced proficiency in Excel/Google Sheets (pivot tables, dashboards, automation)
Experience with financial and reporting tools (e.g., QuickBooks, Airtable, Power BI)
Familiarity with workflow and automation tools such as Zapier, n8n, and Make
Comfortable working with project and data visualization tools like Asana, Vibe Canvas, and Lucid
Experience integrating data across systems to create unified dashboards or reporting flows
Certifications (Preferred, Not Required)
CPA, CFA, or data analytics-related certification
Location: India
About HIKINEX
HIKINEX is a multi-channel integrated service provider helping companies scale faster, boost efficiency, and drive
greater profitability. We build dedicated remote teams in sales, recruitment, marketing, and operations so our
clients can work on their business instead of in it.
Role Summary
We're looking for a motivated Marketing Associate to support our growing Marketing Department across content,
campaigns, creative production, and marketing operations. This is an excellent opportunity for someone early in
their marketing career who is eager to learn, take ownership, and develop across multiple areas of marketing.
You'll work closely with the Creative Director, Content Strategist, Designers, and Marketing Leads while gaining
hands-on experience in branding, content creation, social media, campaign execution, project coordination, and
AI-assisted marketing.
Beyond supporting campaigns, you'll play an important role in keeping the Marketing Department organized by
coordinating projects, maintaining documentation, managing marketing assets, and ensuring deliverables move
efficiently through the team's workflow.
We're building an AI-first Marketing Department, so curiosity about AI tools and a willingness to adopt new
technologies is highly encouraged.
Key Responsibilities
Assist with creating and editing marketing materials in Canva (social media posts, presentations, one-pagers,
landing page assets, etc.).
Support the Creative Director and Content Strategist with day-to-day marketing initiatives.
Schedule and publish content across social media platforms.
Coordinate marketing campaigns, product launches, and internal marketing activities.
Organize and maintain the department's digital asset library, ensuring files are consistently named,
categorized, and easy to locate.
Update and maintain project progress in project tracking tools.
Conduct research to support marketing campaigns, products, competitors, and industry trends.
Proofread and format marketing content before publication.
Track project timelines and follow up with team members to ensure deliverables stay on schedule.
Help create and maintain SOPs, templates, training materials, and marketing documentation.
Support recruiting and employer branding initiatives when required.
Leverage AI tools to accelerate research, content creation, documentation, and administrative tasks.
Take ownership of assigned work, communicate progress proactively, and identify blockers early.
Required Skills
Strong organizational and time management skills.
Excellent attention to detail.
Good written and verbal communication skills.
Working knowledge of Canva.
Comfortable learning new tools and software quickly.
Ability to manage multiple projects simultaneously.
Problem-solving mindset with a proactive approach.
Comfortable working in a fast-paced environment where priorities may change.
Tools & Technologies
Canva, Microsoft 365
AI Tools
HIKINEX is building an AI-first Marketing Department. Familiarity with tools such as ChatGPT, Claude, Canva AI, or
similar AI productivity tools is highly desirable. We encourage continuous learning and experimentation with AI
to improve efficiency and quality of work.
Experience Required
0–2 years of experience in marketing, internships, or related projects.
No formal degree required. Relevant experience, personal projects, certifications, or a strong portfolio are
equally valued.
Experience using Canva or similar design tools is preferred.
Work Samples
Please include 2–3 examples of work you're proud of. This could include social media posts, presentations,
personal projects, university work, marketing campaigns, or content you've created. Professional experience is
not required — we're interested in your potential, creativity, and attention to detail.
Who Will Thrive in This Role
You're organized, curious, and eager to learn. You enjoy bringing structure to fast-moving projects, communicating
with people, and helping teams stay organized. You're excited to build your marketing career, comfortable using
technology to work smarter, and willing to take ownership as your responsibilities grow.
We Encourage You to Apply
If you don't meet every requirement listed above, we still encourage you to apply. We're looking for people with
curiosity, initiative, and a willingness to learn. Skills can be developed over time — we value attitude, ownership,
and growth potential just as much as experience.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
This role owns how Higgsfield measures its product - from the first sign-up to whether people come back.
You are the measurement owner for onboarding, first generation, the paywall, plans and credits, and retention. Product managers ship fast here - your job is to make sure they ship knowing.
You make sure:
- Every product decision has a number attached to it before it ships and after it ships
- Experiments are designed to be readable, and then read honestly - including when the answer is “this didn’t work”
- The events the product emits can be trusted; you own the definition, not just the query
- A PM gets an answer in hours, not next sprint
You are the person who decides what “it worked” means.
WHAT YOU WILL DO
Product measurement
- Own the core product metrics: activation, first-generation success, generation depth, free→paid conversion, repeat usage, retention by cohort and segment.
- Define each metric once, write the definition down, and hold the line on it - one definition across dashboards, decks, and Slack.
- Instrument new features before launch, with product and engineering: which events, which properties, what success looks like, when we call it.
- Watch the health of the event stream itself - tracking drift, double counting, missing parameters, naming breakage and find the problem before a decision gets made on top of it.
Experimentation
- Design A/B tests properly: hypothesis, one primary metric, unit of randomization, MDE, sample size, run length, guardrail metrics.
- Read them honestly: significance, peeking, novelty effects, sample-ratio mismatch, segment heterogeneity.
- Separate “we proved this works,” “we proved this doesn’t,” and “we can’t tell from this test” - and say which one out loud.
Product & monetization analysis
- In-product funnel work: onboarding and quiz, first generation, paywall, checkout, plan choice, credit top-ups.
- Pricing and packaging analysis: plan mix, credit consumption, unit economics per generation, margin by feature and by model.
- Feature adoption and its real effect on retention and revenue — separating “users who do X retain better” from “making people do X improves retention.”
- Behavioural segmentation: casual creators vs corporate/B2B, new vs returning, by model and by use case. Mixing them hides everything that matters.
Making it usable
- Build the few dashboards PMs actually open on their own — decision-shaped, not comprehensive.
- Write short readouts a non-analyst can act on. Visualize data for humans, not for other analysts.
- Automate recurring reporting so your hours go to new questions, not refreshes.
- Work in SQL, Python, BigQuery and product analytics tools. We use AI heavily - resourcefulness beats syntax.
WHO WE'RE LOOKING FOR
We're looking for an analyst with opinions.
You should have:
- Strong SQL: window functions, cohorts, funnels and retention on raw event data, without help.
- Python at working level for analysis (pandas, notebooks). Entry level is fine - we use AI heavily.
- Real experimentation experience: you have designed tests, run them, and killed features with the results.
- Statistical honesty: you know what a p-value does and does not entitle you to say, and you have refused to call a flat test a win.
- Understanding of subscription + one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, deferred value of unspent credits.
- The instinct to check the instrument before explaining the movement - a surprising number is a claim, not a fact.
- Ownership: you decide what's worth analyzing, you chase the fix, you follow the recommendation to a shipped change.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Product analysts from consumer subscription or PLG products
- Growth/BI analysts who moved into product and stayed
- Early-startup analysts who built product measurement from zero
- Data scientists who got tired of models and want decisions
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Wait for a ticket to tell you what to analyze
- Want to build models more than you want to change decisions
- Need a data engineering team and clean tables to exist before you can start
- Would report a lift you don't believe in because a stakeholder wants it
- Need perfect data before you can say anything useful
- Want predictable 9–5 workdays
HIRING PROCESS
- Screening call (30 min)
- Hiring-manager screen (30 min)
- Business case (1 hour)
- Take-home with real-shaped data (7 days, ~10–12 hours of work)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 25M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands. We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT THIS ROLE MEANS AT HIGGSFIELD
Right now we treat 25M+ people as one user. The same paywall, the same discount, the same lifecycle email, the same retention effort. And we mostly conclude that a campaign worked by looking at what the people we sent it to did next — which is not the same thing.
This role makes the company act per user, and know what that action was worth.
You own both halves of that: the models that decide who we aim at, and the causal reads that say whether it landed. Who is about to leave. Who will come back on their own without us spending anything. Whose decision a discount actually changes. And what a payer is worth over their life, once the discount, the refunds and the compute they consume are all inside the number.
You make sure:
- Discounts and credit vouchers go to the people whose behaviour they change, and nowhere else
- We know who is about to churn early enough to do something about it — and we know whether the something worked
- Lifetime value is a number we can defend by cohort, by plan and by the discount a cohort was acquired on, not one blended average that hides all three
- Every model and every campaign has a holdout behind it, so we can always state what it is worth in money
WHAT YOU WILL DO
Churn, retention & lifecycle propensity
- Build churn and downgrade prediction for subscribers, and repeat-purchase propensity for one-time credit-pack buyers — two different machines, not one model with a flag on it.
- Know the difference between a model that predicts churn and a model that reduces it. AUC earned by detecting users who already stopped using the product is worth nothing.
- Hunt leakage relentlessly. Cancellation-adjacent features will hand you a beautiful offline number and a useless system.
- Pair every score with an intervention and a holdout. The deliverable is a retained user, not a ranked list.
Uplift modelling & offer targeting
- Own incrementality on everything we aim at a user: discounts, credit vouchers, trials, upgrade prompts, win-back campaigns, retention saves.
- Model uplift, not propensity.Targeting the users most likely to convert spends margin on people who were going to convert anyway; the entire value of this work is finding the users whose decision the offer changes.
- Design the randomized holdouts that make uplift trainable and measurable in the first place, and keep them running permanently — including the ones marketing will ask you to switch off.
- Respect the guardrails. An offer model optimizing conversion alone will happily find the accounts that convert at negative gross margin, and it will find the abuse rings first. Margin and abuse signals are constraints on the objective, not a later cleanup.
- Work with Legal on what may be personalized. Personalized pricing and discounting touches consumer-protection and consent rules in several of our markets — you should want that conversation, not route around it.
Lifetime value & payer economics
- Own LTV: cohort-based, censored honestly, stated on contribution margin rather than gross revenue, and split by plan, segment and acquisition discount.
- Model the parts that actually move it — refunds and chargebacks, credit breakage and expiry, plan migration and downgrades, and the compute an unlimited plan consumes.
- Make it a decision input, not a slide: what we can pay for a user, which discount depth pays back, which plan we should stop selling.
- Keep it current and versioned. A stale LTV curve is worse than no curve, because people act on it.
Experimentation & causal measurement
- Design and read the experiments behind pricing, packaging, offers and lifecycle — with the product analytics team, not in parallel to it.
- Reach for the right tool when a clean experiment is impossible: difference-in-differences, matching, switchback and geo tests, synthetic control — and name the assumption each one is buying.
- Separate "users who do X retain better" from "making users do X improves retention." Every time, out loud.
- Kill your own results. A finding that doesn't survive a second look should die at your hands, not in a board deck.
How we ship
- Own the work end to end: framing the decision, features, training, evaluation, the scored audience landing in the tool that sends the offer, monitoring, retraining.
- Models ship as batch scores and policy rules into lifecycle tooling, the paywall and pricing — plus the readout that says what they earned. There is no real-time serving stack to babysit.
- Monitor for drift. New model launches, price changes, discount campaigns and seasonality all move the ground under a deployed score.
- Write down what each model is worth, in money, and keep that number current.
WHO WE'RE LOOKING FOR
- Experience shipping models that changed what the business did to real users— a targeted campaign, a pricing rule, a retention programme. Notebooks and offline benchmarks are not this.
- Depth in at least two of: churn and propensity modelling, uplift & causal ML, LTV and subscription economics, experimentation at scale.
- Genuine causal literacy: randomized holdouts, incrementality, Qini and uplift curves, selection effects, and why a lift measured before-and-after is usually not a lift.
- Strong SQL and Python: cohorts, funnels and retention on raw event data without help; gradient boosting; and the boring parts — feature pipelines, retraining cadence, a scoring job that runs on a schedule and doesn't rot.
- Understanding of subscription plus one-time purchase mechanics: recurring vs one-off revenue, refunds, plan changes, the deferred value of unspent credits, and why revenue and margin disagree about the same customer.
- Commercial judgment: you name the decision and the metric before you pick the model, and you know when the answer is a rule rather than a model.
- Pragmatism. A segment rule shipped this month that lifts retention beats a two-quarter uplift platform. Then you replace the rule.
- Clear written and spoken English, B2+.
Backgrounds that often do well:
- Growth, retention or monetization data scientists from subscription, gaming, fintech or e-commerce — anywhere offers and churn are modelled with real money attached
- CRM and lifecycle data scientists who owned campaign targetingandits incrementality
- Causal inference and uplift specialists who ship policies rather than papers
- Strong product analysts who moved into modelling and kept the decision instinct
WHAT THIS ROLE IS NOT
This role is not a fit if you:
- Want to train or fine-tune generative video models — that's what our R&D ML Engineer roles do, and they're open
- Want to own a recommender or a serving stack — ranking is not in this role's scope today
- Would target an offer at the users most likely to buy and call it personalization
- Report a lift from a before-and-after comparison, or from comparing the users you targeted to everyone you didn't
- Optimize AUC and hand the score to someone else to work out what to do with it
- Need clean labelled data, a feature store and an experimentation platform to exist before you can start
- Want predictable 9–5 workdays
HIRING PROCESS
We move fast:
- Screening call (30 min)
- Technical interview & case study (1 hour)
- Practical home task (7 days)
- Team interview (60 min)
- Paid on-site trial (1 month)
WHAT WE OFFER
- Competitive base salary in USD, based on your experience, skills, and the scope of the role.
- Equity participation through the company’s stock option program, giving you the opportunity to share in Higgsfield’s long-term growth.
- Relocation support to Almaty for candidates moving from another city or country.
- A highly collaborative, fast-paced environment where you can work directly with experienced leaders and have a meaningful impact on the product and company.
- Opportunities for professional growth, ownership, and career development as the company scales.
- Company-provided equipment, meals, transportation, or other office benefits.
Location: Almaty, Kazakhstan
Workplace: OnSite
WHY WORK AT HIGGSFIELD AI?
Higgsfield AI is the fastest-scaling generative AI company in history, hitting $1B in annual revenue run rate, 30M+ users worldwide, 6M+ generations per day, and powering 390 of Fortune 500 brands.
We're building at the absolute frontier of AI-powered video creation and next-generation creative tools. Joining Higgsfield means becoming part of a high-impact team shaping the future of AI-native experiences, at a company that isn't just moving fast, but rewriting what fast looks like.
WHAT ORGANIC GROWTH MEANS AT HIGGSFIELD
Organic growth here is the set of channels that convert without media spend: search, AI assistants, and the content ecosystem they pull from. The channel has already brought in $2M in under a month, and conversion keeps climbing.
So this isn't an experiment in the dark. It's a proven channel that nobody has figured out how to scale yet, because the rules are still being written.
Millions of people now ask ChatGPT, Claude, Gemini and Perplexity which tool to use instead of typing it into Google. What those answers say about Higgsfield decides who discovers us and whether they choose us.
An Organic Growth Manager here is a high-agency operator who:
- treats SEO, AEO and GEO as one channel, not three disciplines;
- turns observations into hypotheses, tests them, and scales what moves the number;
- builds systems and automations instead of doing the same research by hand every week;
- moves work through adjacent teams, not just through their own hands;
- owns the line from visibility to sign-ups, not just rankings.
WHAT YOU WILL OWN
Visibility across search and AI assistants
- Understand how Higgsfield and competitors appear across Google and across LLMs — and why;
- Map how people actually ask for products in our category, and identify the queries worth winning;
- Find the gaps and the weak spots, including results that currently work against us.
The source ecosystem
- Understand which sites, communities, creators and formats different engines trust and retrieve;
- Shape what information exists about Higgsfield online and how our category gets described;
- Work with content, product and external partners to turn that into things that actually get published.
Measurement and experimentation
- Connect visibility, citations, traffic, sign-ups and revenue — the channel is judged on conversion, not vanity metrics;
- Build lightweight systems (Sheets, APIs, scripts, automation tools) to cut manual work;
- Continuously test new sources, formats and tools as the engines evolve.
WHO WE'RE LOOKING FOR
We don't require experience in AEO or GEO — almost nobody has it. We care about how you solve unfamiliar problems, and about what you've already delivered somewhere else.
Must-have
- A measurable result you can walk us through. Which metric you moved, by how much, and what part of it was yours;
- You turn data into decisions — and can explain why that decision and not another
- Technically curious: you figure out new tools, systems and data on your own;
- Has built or automated something before, rather than doing the same thing by hand every week;
- Can move work through adjacent teams and external sites, strong cross-functional and partner skills
- Fluent English, and comfortable working with content when needed;
- High ownership: you don't wait for a task list, you understand the goal and figure out how to get there;
Good to have
- Experience in SEO, growth, analytics, content, engineering or automation;
- Familiarity with LLM retrieval, RAG, or technical SEO;
- Your own project, product or business — anything you built without a brief;
- Strong understanding of the GenAI ecosystem.
WHAT THIS ROLE IS NOT
- It's not a channel with an existing playbook to execute;
- It's not a role where someone hands you a task list;
- It's not a fit if you prefer strategy over execution, or want predictable 9-to-5 workdays.
THE DEAL
- Competitive salary in USD, reviewed as you grow;
- On-site role in Almaty, Kazakhstan;
- Access to Higgsfield products and the AI tools we use internally;
- Breakfast, lunch and good coffee on us;
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: Remote in EMEA
Location: This is a 100% remote role and is open to candidates residing in EMEA. Visa sponsorship is not available.
About the job
Testlio's fully managed crowdsourced testing platform integrates expert, on-demand testers directly into your release process. Ship faster and more confidently with global coverage across 600,000+ devices, 800+ payment methods, 150+ countries, and 100+ languages. To learn more, visit
www.testlio.com
.
We are seeking an Engineering Manager to lead the team that owns every way the outside world connects to Testlio: our partner integrations, our public API, our identity and access surfaces. If a client’s Jira, a client’s CI pipeline, a client’s engineer, or a client’s AI agent touches Testlio, it goes through your team’s systems. This role reports to the Director, Engineering.
Why will you love this job?
Own the platform’s contract with the world. You’ll lead the one team that covers the whole programmatic perimeter: bi-directional sync with a dozen tools (Jira, Xray, Azure DevOps, GitHub, GitLab, Asana, Linear, Monday, TestRail, Trello, YouTrack, Slack), enterprise SSO, our public API.
Build the API as a product, not a byproduct. We have a written public-API strategy: OpenAPI contracts as the source of truth, major and dated versioning, uniform auth, granular API roles, rate limiting, end-to-end request tracing.
Make support self-serve. You’ll cut recurring support work at the source, with self-serve setup and diagnostics, integration health visible to the people who need it, and automation and permanent fixes instead of repeat manual triage.
Partner with product and with real customers. You’ll work closely with a dedicated product manager on discovery, prioritization, and outcomes, and also directly with enterprise client engineering teams who build against our API.
Why will you love being a part of Testlio?
Great Culture:
Testlio is a female-founded company, and half of our team identifies as women. We’re proud of our
inclusive, purpose-driven culture
where people genuinely enjoy collaborating. As part of our team (we call ourselves TestLions), you’ll help create exceptional digital experiences for our customers, while also contributing to our freelance network.
Remote Work:
Our culture is built around remote work. We’ve created systems to allow us to successfully work together asynchronously as a
fully remote and globally distributed team.
Testlio provides the tools and guidance for everyone to succeed in their careers in a fully remote setting. Our working style encourages everyone to make decisions, communicate effectively, and work at a sustainable pace.
Investment in You:
Your growth and well-being matter to us. You’ll have flexible paid time off—including national holidays, personal days, and sick days—plus stock options so you can grow with Testlio. We also provide a $300 annual learning stipend to support your personal and professional development.
Winning Business:
Testlio is growing, profitable, and cash-strong. We are leading our industry with
exceptional clients
who provide us with a high NPS score and a 4.7 rating on G2. Our business model is global, enterprise, and subscription-based. Several of our largest clients have been with us for 7+ years, and many spend $500K+/year with Testlio.
What would your day look like?
Shaping what's next
Stay close to the code:
Expect to spend roughly 20–30% of your time on hands-on engineering, including writing production code, providing substantive reviews on critical-path pull requests, and signing off on key technical designs. You'll help remove critical technical bottlenecks and contribute directly when needed, while empowering the team to own and deliver work independently.
Public API strategy:
Own Testlio's public API end to end: OpenAPI specifications kept current in every service repo and treated as the consumer contract, a coherent versioning and deprecation policy, consistent authentication and authorization on every endpoint, rate limiting, and traceability across the request path.
Integration architecture:
Set the multi-quarter technical direction for a sync platform that must stay correct across a dozen third-party APIs, each with its own data model, rate limits, and release cadence. Reduce per-vendor special-casing in favour of a common mapping and sync core.
Roadmap ownership:
Turn strategy into a sequenced roadmap with your product partner, and own technical delivery from concept to production.
Running it with rigor
Engineering operating rhythm:
Establish effective planning, prioritization, and design review practices that balance delivery speed with long-term scalability.
Technical leadership:
Combine engineering vision and team mentorship with hands-on technical contribution, staying close to the codebase to understand the team's work and make informed technical decisions.
Third-party dependency management
: Own the risk that comes with depending on other people's APIs. Track vendor changelogs, deprecations and sunset dates, plan migrations before they become incidents, and keep credential, token, and connection failures from turning into client-visible outages.
Production support and escalations:
Own production support for your domains, including triage, escalation management, and root-cause resolution. Drive automation, self-serve setup, and permanent fixes that measurably reduce recurring support volume and improve operational efficiency.
Reliability and observability:
Define service level objectives for sync freshness, sync success rate, and API availability and latency; build the dashboards that make integration health self-serve; and lead root-cause analysis on production issues.Engineering standards: Ensure work is traceable and the Definition of Done is consistently met, minimizing escaped defects and keeping cloud costs in check.
Team growth:
Coach engineers technically, bring AI-assisted development workflows (e.g., Claude Code) into daily practice, and reduce knowledge silos through reviews and documentation.
What do you need to succeed?
Technical skills
Engineering management:
5+ years managing a team of 4+ engineers in an agile, remote environment.
Hands-on technical leadership:
Recent experience writing production code and designing or evolving production systems. You are comfortable working directly in the codebase, contributing to implementation, reviewing code, and making architectural decisions alongside your team.
Public or partner-facing API ownership:
Proven experience designing, versioning, documenting, and deprecating APIs consumed by people outside your own company. You've made a breaking-change decision and lived with the consequences. OpenAPI, idempotency, pagination, webhooks, and rate limiting are familiar ground.
Third-party integration systems:
Experience building or running integrations against external APIs at scale: OAuth flows, credential storage and rotation, retries and backoff, queue and poison-message handling, conflict resolution in bi-directional sync, and per-tenant blast-radius control.
Technical stack:
Strong affinity with TypeScript and Node.js on AWS, including serverless (Lambda), DynamoDB, and event-driven patterns.
Nice-to-haves
Identity and access:
Practical knowledge of OAuth 2.0, OIDC, SAML, and enterprise SSO, plus token scoping and least-privilege API roles.
Broader stack familiarity:
Kafka, GraphQL, Python, and React are a plus.
Observability and performance:
Experience with observability and APM tools (e.g., New Relic, Datadog, Sentry) and optimizing slow database transactions.
Application security:
Knowledge of application security best practices and integrating security review into the SDLC.
Legacy modernization:
Experience modernizing legacy systems or paying down significant technical debt while keeping a product running.
SaaS experience:
Prior experience managing a SaaS product is a plus.
Human skills
Fluency in English, with excellent written and verbal communication.
Collaborative. Works effectively with product management and cross-functional partners in a distributed, asynchronous setting.
Organized and thorough, with a meticulous approach to standards and process.
Growth catalyst. Passionate about team productivity, technical excellence, and continuous improvement.
Results-oriented, with data-driven decision-making.
What is the application process?
We do our best to bring on individuals who are excited about their role and have the potential for a great future with Testlio. Since we are 100% distributed, you'll meet with several people from our organization so you get a clear picture of who you'd work with and what the role expects. Our process typically takes 3 to 4 weeks.
Application review
Recruiter interview
Hiring Manager Interview
Live Technical Exercise
2 team and stakeholder interviews
Reference checks
Offer
Diversity and inclusion
Testlio is an equal-opportunity employer deeply committed to creating an inclusive environment for people of all backgrounds and identities. We are female-founded, and 46% of our team members identify as women. For more information, see the
DEI section
of our website.
#LI-Remote
Location: Remote / Germany
Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.
Role
As Group ISB, you own the information security strategy, programme, and posture of the Vektor Group, from strategy to hands-on execution. You work in close operational partnership with the Director of Internal IT on technical controls and implementation. Your core mandate is ISO 27001 certification on the basis of BSI IT-Grundschutz, together with NIS-2 compliance: from gap analysis and controls implementation through audit readiness, ongoing maintenance, and the regulatory obligations arising under both frameworks.
We build AI platforms for customers in the defence and government sector. Information security is a precondition for our business, not an afterthought. We are building the security organisation while the group grows. During this phase, everyone including leadership works hands-on: day-to-day operational security, direct support for the IT team, and tasks outside the boundaries of a traditional governance role. External consultants support the ramp-up. As the ISMS and the team mature, the balance shifts toward strategy and governance.
What you'll do
Build and operate the group-wide ISMS following BSI standards 200-1/200-2/200-3: structure analysis, protection needs assessment, modelling, risk analysis
Create and maintain the security policy framework and processes at group level; coordinate company-specific additions
Prepare and accompany ISO 27001 certification, run internal audits, work with external auditors
Implement NIS-2 obligations: reporting processes, evidence management, corrective action tracking
Manage risk across technical and organizational domains, including reporting to executive management
Steer external consultants and service providers within the running programme
Build and run the security awareness programme: training and sensitization
Own incident response planning and coordinate during incidents, together with IT, Legal, and leadership
Assess third-party and vendor risk, run security assessments for new tools and partners
Work closely with the Director of Internal IT (technical controls: access governance, endpoint security, identity) and with platform engineering (interface to product security)
Support sales and customer trust processes: security questionnaires, due diligence, customer audits
Track further regulatory requirements (EU AI Act, Cyber Resilience Act, among others) and derive required action
About you
Several years of experience as an ISB or in comparable responsibility for information security
Proven practice with BSI IT-Grundschutz: BSI standards 200-x and the Grundschutz-Kompendium, ideally including a completed certification procedure
Experience building or leading ISO 27001 programmes, from gap analysis to audit readiness
Solid risk management: you assess, prioritize, and communicate risk clearly to technical and non-technical audiences
Willingness to work hands-on during the build-up phase
Confident interaction with executive management, auditors, and customers
German at C1 or above, English at B2 or above
Nice-to-haves
Certifications: IT-Grundschutz-Praktiker/-Berater, ISO 27001 Lead Implementer or Lead Auditor, CISSP, CISM
Experience with security governance across multiple legal entities or jurisdictions
Experience in regulated environments: defence, government, critical infrastructure; familiarity with VS-NfD, Geheimschutz, or AQAP
Practical NIS-2 implementation experience
Experience with sales-adjacent security processes (pre-sales, customer audits)
What we offer
Remote-first, Germany-wide:
Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations.
Flexibility by default:
Flexible working hours help you make work fit your life.
Your setup, your way:
Get a personal home-office equipment budget to create a workspace that works for you.
30 days of vacation:
Take the time you need to recharge and come back with fresh energy.
Keep growing:
We invest in your personal and professional development.
Get rewarded for impact:
Performance bonuses are tied to agreed objectives and key results.
A warm welcome:
Every new team member gets a welcome goodie bag.
Good people, good times:
From summer and Christmas parties to regular team gatherings, we make time to celebrate together.
A mission that matters:
Work on challenges with tangible impact on public safety and national security.
Location: Paris; London
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As a direct Business & Operations partner to our Solutions team, including Deployment Strategists and Applied AI Engineers. You will work closely with Solutions leadership to build & scale the operating system that powers value & operational excellence across pre-sales and post-sales activities.
You will translate our value vision into a scalable operating model by building automations, defining processes and ways of working, standing up KPIs and reporting, operationalising our internal ROI framework, feeding the feedback loop to capitalize on our successes, and embedding reusable value frameworks into customer engagements.
This role is critical to turning our go-to-market strategy into repeatable, AI-native action, aligning delivery quality, output per FTE, and customer satisfaction to improve the efficiency and impact of our Solutions organisation and accelerate the value Mistral delivers to customers.
WHAT YOU WILL DO
Operating System & Automation
- Build the secure-by-design operating system that links our tooling stack to the Solutions team’s needs, and design the internal tools & automations that raise output per FTE.
- Streamline Deployment Strategist operations across pre-sales scoping and delivery, compounding shared knowledge, templates, and reusable IP.
- Drive daily adoption of our AI layer throughout the Solutions team, productising internal work into reusable assets for the team.
Value Intelligence & ROI
- Operationalise the internal ROI framework per project / use case, defining and surfacing where we build value.
- Define the reporting layer and metric catalog (what we collect and surface) and build the dashboards that turn our data foundation into decisions and proof of value.
- Stand up the customer satisfaction measurement system (define, collect, surface) as a core input to value & operational excellence.
Processes, Ways of Working & Cross-Functional Collaboration
- Codify delivery playbooks, ways of working, and scaling programs end-to-end across the customer lifecycle
- Partner with Revenue Growth, People Growth, RevOps, CSMs and Product & Engineering to align the operating system with company strategy and fuel the flywheel.
- Ensure our operational processes are followed across geographies, embedding safety, security & compliance into our ways of working.
WHAT WE'RE LOOKING FOR
- 4+ years of experience in strategic operations, business operations, or a chief-of-staff role within technical sales or solutions engineering.
- Strong ability to bring structure to ambiguity and drive complex, cross-functional initiatives from strategy through execution.
- Proven track record in optimising processes, impacting business KPIs, and aligning resources with business priorities.
- Exceptional negotiation and diplomacy skills: ability to navigate complex stakeholder dynamics and align competing priorities.
- Hands-on, execution-focused mindset with a bias for action in ambiguous, fast-changing environments.
- Hands-on builder of internal tools and data workflows; comfortable turning manual processes into scalable systems.
- Strong analytical skills to design ROI and value frameworks, build reporting, and translate data into operational decisions.
- Technical acumen and AI fluency: understanding of AI implementation, use cases, and scaling challenges.
- Native-level fluency in English; additional European languages are a plus.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
Location: Remote UK
At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.
As a Merchant Risk Analyst, you will assess financial risk related to credit, fraud and identity associated with the merchants. You will also coordinate with cross-functional partners to assess non-financial risk – brand, reputational, legal and compliance risk.
The ideal candidate will have knowledge or experience in e-commerce underwriting and/or commercial lending. They will also have a solid understanding of evaluating merchant financial risk based on 3rd party data, credit reports, and other merchant attributes. Prior work experience in payments, lending, banking or financial institutions is a plus!
What you’ll do
Assess brand, compliance, fraud and financial risk and determine credit exposure risk on new and existing merchants
Use business credit reports, financial documents, investigative research tools, and financial market data to conduct risk assessment of Affirm’s merchants
Investigate and use new sources of third party data to assess merchant financial risk
Conduct ongoing monitoring of credit, fraud, and dispute/chargeback trends by merchants
Business Improvement In Execution: Leverage your knowledge to provide guidance towards the automation/improvements of merchant risk evaluation
What we look for
3+ years of experience in assessing merchant risk in a function such as Merchant/Seller Risk Management, Fraud, Collections, or Merchant Underwriting
Experience working with cross functional partners across the organization, especially Sales and Business Development teams
Experience reviewing financial documents, business credit reports and payment processor statements
Ownership mentality: Demonstrate an appropriate sense of accountability, ownership, urgency and execution
Compensation & Benefits
Base Pay Grade - G
Equity Grade - 3
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents.)
Base pay range per year: £66,000 - £76,000
Location: UK Remote
#LI-Remote
Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.
Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:
Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.
We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.
For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.
By clicking "Submit Application," you acknowledge that you have read Affirm's
Global Candidate Privacy Notice
and consent to the use of your personal information as described.
seniorHo Chi Minh City, Vietnam
УдалённоColombia; Mexico; Argentina; Brazil; Costa Rica; El Salvador
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
ОфисAlmaty, Kazakhstan; Relocation support to Almaty for candidates moving from another city or country
ОфисAlmaty, Kazakhstan
London, United Kingdom
УдалённоRemote in EMEA
УдалённоRemote / Germany
Paris; London; Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks
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