Python Jobs
310 jobs found
MLabs
Today
## Founding Data Lead We are hiring on behalf of our client, an elite, venture-backed digital asset infrastructure firm who is seeking a strategic and highly autonomous **Founding Data Lead**. Backed by top-tier Web3 investors including Paradigm and Dragonfly, the client is building foundational, institutional-grade stablecoin infrastructure and full-service platforms to transform how global value moves. As the **Founding Data Lead**, the successful candidate will build the organization's data and analytics function from the ground up. This role offers high visibility and immense autonomy, with ownership over how data is defined, structured, and utilized across every facet of the business. By mapping data across the entire stack—encompassing onchain, product, financial, and operational data—this individual will translate raw behavioral and transactional metrics into actionable insights that directly shape product development, investment strategies, and growth trajectories. ### Key Responsibilities - **Build from Scratch:** Establish, scale, and own the data analytics function, infrastructure, and metrics frameworks across the entire organization - **Cross-Stack Data Mapping:** Integrate disparate data sources across onchain activities, product usage, financial transactions, and operations into a cohesive, centralized data model - **Drive Business Insights:** Deepen customer understanding by transforming raw behavioral data into strategic insights that influence product roadmaps and business growth - **Enable Self-Service Analytics:** Design, deploy, and maintain intuitive dashboards and reporting structures (e.g., Metabase, Looker) to empower cross-functional teams to make rapid, independent, data-driven decisions - **Engineering Partnership:** Collaborate closely with the engineering team to optimize data pipelines, implement product analytics tracking, and elevate the capabilities of the data stack - **Executive Communication:** Synthesize complex data findings into clear, high-impact recommendations for the executive leadership team ### Requirements #### Basic Qualifications - **Experience:** 5+ years of professional experience in analytics, business intelligence, or data engineering, with a strong preference for individuals who have served as an early data hire within a high-growth startup environment - **Advanced SQL:** Exceptional mastery of SQL, with the ability to seamlessly construct complex queries utilizing advanced joins, window functions, CTEs, and subqueries - **BI & Dashboarding:** Proven experience building and scaling dashboards and metrics frameworks within platforms like Metabase, Looker, or similar tooling - **Data Modeling:** Demonstrated ability to translate highly ambiguous, messy business contexts into clean, structured, and scalable data models - **Big Data Tooling:** Familiarity working with high-volume event data and processing tools such as Spark, Databricks, ClickHouse, or equivalent technologies - **Orchestration & Product Analytics:** Working knowledge of data orchestration tools (e.g., dbt, Airflow, Dagster, Prefect) and proficiency with product analytics platforms (e.g., Amplitude, Mixpanel, PostHog, Heap) - **Communication:** Outstanding communication skills, with a track record of presenting clear data stories and driving strategic recommendations at the executive level #### Preferred Qualifications - **Web3/Blockchain Expertise:** Direct experience handling blockchain data, including onchain indexing, subgraphs, multi-chain analytics, or DeFi protocols - **Domain Knowledge:** A professional background within fintech, digital payments, or institutional financial services ### Benefits - Competitive compensation package - Opportunity to shape the foundational data culture and infrastructure of a high-growth, well-funded startup - Collaborative environment working alongside a high-performance team of finance and crypto-native pioneers --- Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. ### Commitment to Equality and Accessibility At MLabs, we are committed to offering equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job advert in an accessible format, please let us know at the earliest opportunity by emailing human-resources@mlabs.city. MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd's Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting legal@mlabs.city. *When applying, mention the word CANDYSHOP to show you read the job post completely.*
1 day ago
## **ZAUBAR** ZAUBAR builds location-based AR experiences that turn cities into interactive layers of stories, knowledge, and entertainment. We work with leading cultural institutions, brands, and destinations to create immersive experiences in the real world. Our next step: bringing these experiences to AI-powered glasses and enabling creators to build and monetize them through the ZAUBAR platform. --- ### **The Role** We're looking for a senior developer who takes ownership from architecture to deployment. You will shape the core of our AR platform across mobile and emerging AR glasses. This is a hands-on role in a small team where your decisions directly impact the product. You will be working with the latest AI and AR glasses prototypes before everyone else has access. --- ### **Tasks** - Own the architecture of our AR platform across mobile and AR glasses - Build and ship features across Unity, native apps, and backend systems - Develop and optimize real-time, location-based AR experiences - Work closely with ML engineers to integrate computer vision into production - Ensure performance across iOS, Android, and wearable devices - Set up and improve testing, CI/CD, and release pipelines - Collaborate with product, design, and creative teams on new features - Review code and mentor other developers --- ### **Requirements** - 5+ years experience in software development - Proven track record of shipping and maintaining products - Strong experience in one or more of: Unity, mobile development, real-time 3D - Experience with performance optimization on constrained devices - Ability to design systems end-to-end and take full ownership - Interest in AR, spatial computing, or AI-driven interfaces - Pragmatic problem solver who gets things done *Nice to have:* - Experience with computer vision or ML integration - Experience with AR frameworks or wearable devices - Familiarity with cloud infrastructure (e.g. GCP) - Experience with WebGL or cross-platform stacks --- ### **Benefits** - Access to latest AR/AI glasses hardware before everyone else - Build real-world AR experiences used by millions of people - Work on cutting-edge use cases for AI glasses - High ownership and fast iteration cycles - Small, experienced, interdisciplinary team - Equity potential with real upside - Flexible work setup (Berlin or remote in EU) --- We're looking forward to your application! Please include a portfolio when submitting. When applying, mention the word **CANDYSHOP** to show you read the job post completely.
1 day ago
## Quant Trader (Sports & Prediction Markets) **Location:** United States **Department:** Trading – Quant Front Office **Employment Type:** Full-time **Workplace Type:** Hybrid --- ### About the Role You will help design the engine powering OG.com’s liquidity. You’ll build and maintain a system for continuous, two-way quotes across thousands of simultaneous markets, bridging high-level theory and production-grade automation. **Focus:** Architecting a multi-market autonomous pricing engine. --- ### Responsibilities - **Autonomous Live Valuation:** Engineer the logic synthesizing real-time sports data, player metrics, and market feeds into fair-value anchors and dynamic, real-time spreads. - **Liability & Inventory Skewing:** Build self-correcting models that automatically adjust odds based on book exposure and lopsided betting volume to incentivize balancing the book. - **Defensive Design & Sharp Mitigation:** Implement high-velocity protocols to mitigate adverse selection from "sharp" action, court-siding, and information asymmetry in milliseconds. - **Risk Automation & Hedging:** Define the algorithmic logic for warehousing sports risk internally versus routing and hedging exposure across external exchanges and market makers. - **Technical Translation:** Convert complex sports pricing strategies and mathematical models into scalable requirements for data and platform engineering teams. - **Trading Desk Guardrails:** Partner with the risk desk to define the engine’s operational boundaries, maximum liability thresholds, and automated kill-switches. - **Real-Time Leadership:** Act as the technical anchor during high-leverage sporting events, providing rapid calibration and manual intervention when the system is under peak pressure. --- ### Requirements - **Quantitative Sports Fluency:** Deep understanding of probability, binary prediction contracts, and sports analytics; treating every match, inning, or political event as a shifting probability curve. - **Pipeline Design:** Experience building production-ready betting or trading systems, from low-latency sports data ingestion (e.g., Opta, Sportradar) to automated bet acceptance engines. - **Applied Data Science:** Success deploying predictive models that learn from in-play microstructure, public betting sentiment, and price velocity. - **Systems Integrity:** Expertise in building error-tolerant infrastructure that remains rock-solid under extreme throughput (e.g., Super Bowl, World Cup, or election nights). --- *We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.* --- **When applying, mention the word CANDYSHOP to show you read the job post completely.**
Scarab Technology LLC
1 day ago
## Job Description ### Key Responsibilities & Requirements - **SOP** (Standard Operating Procedures) - **EPC** (Engineering, Procurement, Construction) - **KPI** (Key Performance Indicators) - **IT** (Information Technology) ### Technical Skills - **Linux** - **Grafana** - **Prometheus** - **Python / Shell** scripting ### Language Requirements - **B1/B2** level proficiency ### Experience & Scale - **10MW+** projects - **0–1** years of experience ### Hardware & Systems - **WhatsMiner** - **Avalon** - **AHU** (Air Handling Unit) - **EPC** systems --- **Note:** When applying, mention the word **CANDYSHOP** to show you read the job post completely.
1 day ago
## Treasury Manager (Crypto, Data & Automation) **Location:** Hong Kong, Hong Kong SAR **Department:** Corporate – Treasury **Employment Type:** Executive **Workplace Type:** Hybrid --- The F&A team comprises multiple functions from Financial Control & Business Performance Management, Procurement, Digital Transformation, Tax, Treasury, and Operations. Together, the team optimizes our global finance initiatives and enjoys being detail-oriented while multitasking across various exciting project scopes. --- ### Responsibilities - Design and develop automated workflows and solutions to streamline repetitive financial tasks and boost efficiency - Analyze blockchain & financial data and identify trends to support strategic decisions - Collaborate with cross-functional teams including Engineering, Products, etc. to develop or refine tech-driven financial solutions - Prepare reports and dashboards using tools like Excel, SQL, or Python to visualize insights - Integrate AI models into business processes, ensuring practical application and measurable outcomes - Communicate initiative progress and results to senior leadership, focusing on business value and strategic alignment --- ### Requirements - Bachelor's degree in Finance, Accounting, Economics, or related disciplines - 7+ years of experience in data analytics, automation, or advanced data solutions - Solid experience in ETL processes and BI tools (e.g., Tableau, Power BI, etc.) - Excellent proficiency in writing complex SQL and complicated business data logic - Solid understanding of financial products and markets - Good knowledge of FinTech trends like Blockchain, Digital Payments, and AI in Finance - Strong communication and stakeholder management skills - Detail-oriented with the ability to manage multiple high-priority projects in a high-growth environment - Passionate about Crypto and the growth of digital assets - Excellent command of spoken and written English --- ### Life @ Crypto.com - Empowered to think big. Try new opportunities while working with a talented, ambitious, and supportive team. - Transformational and proactive working environment. Empower employees to find thoughtful and innovative solutions. - Growth from within. We help to develop new skill-sets that would impact the shaping of your personal and professional growth. - Work Culture. Our colleagues are some of the best in the industry; we are all here to help and support one another. - One cohesive team. Engage stakeholders to achieve our ultimate goal — Cryptocurrency in every wallet. - Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up. - Aspire career alternatives through us — our internal mobility program offers employees a new scope. - Work Perks: **Crypto.com Visa card** provided upon joining. **Are you ready to kickstart your future with us?** --- ### Benefits - Competitive salary - Attractive annual leave entitlement including: birthday, work anniversary - Work Flexibility Adoption. Flexi-work hour and hybrid or remote set-up - Aspire career alternatives through us. Our internal mobility program can offer employees a diverse scope. - Work Perks: **Crypto.com Visa card** provided upon joining Our Crypto.com benefits packages vary depending on region requirements; you can learn more from our talent acquisition team. --- ### About Crypto.com Founded in 2016, **Crypto.com** serves more than 150 million customers and is the world's fastest growing global cryptocurrency platform. Our vision is simple: **Cryptocurrency in Every Wallet™**. Built on a foundation of security, privacy, and compliance, Crypto.com is committed to accelerating the adoption of cryptocurrency through innovation and empowering the next generation of builders, creators, and entrepreneurs to develop a fairer and more equitable digital ecosystem. Learn more at [https://crypto.com](https://crypto.com). **Crypto.com** is an equal opportunities employer and we are committed to creating an environment where opportunities are presented to everyone in a fair and transparent way. Crypto.com values diversity and inclusion, seeking candidates with a variety of backgrounds, perspectives, and skills that complement and strengthen our team. Personal data provided by applicants will be used for recruitment purposes only. Please note that only shortlisted candidates will be contacted. --- *We may use artificial intelligence tools to analyze the content of your Resume/CV against the specific requirements for the position. The purpose is to support our recruitment team in reviewing applications more effectively. These tools assist our recruitment team in their evaluation of your application by providing recommendations, but they do not replace human judgment. Final hiring decisions are ultimately made by humans who consider the insights generated by the tools along with other relevant information. If you would like more details about how your personal information is processed, please contact us.* --- When applying, mention the word **CANDYSHOP** to show you read the job post completely.
CertiK
2 days ago
```markdown # Senior Data Analyst **Location:** New York, New York **Department:** Operations **Type:** Full-time, On-site --- ## About the Company Born from groundbreaking research at Columbia University and Yale University, **CertiK** is a leading Web3 security company focused on securing blockchain protocols, smart contracts, and decentralized applications through cutting-edge security research, formal verification, and AI-powered technology. Founded in 2017 and headquartered in New York City, CertiK provides end-to-end security solutions including smart contract audits, penetration testing, on-chain monitoring, incident response, and compliance services for some of the largest projects in the digital asset ecosystem. Today, CertiK supports thousands of enterprise clients and Web3 projects globally, with a distributed international team spanning North America, Asia, and Europe. The company is backed by leading investors including Coatue, Goldman Sachs, Insight Partners, and Sequoia Capital, and has been recognized by organizations such as the World Economic Forum and CB Insights for its contributions to blockchain security innovation. --- ## About the Role The primary responsibility of this role is to build and maintain ETL pipelines and process large datasets from APIs, databases, and third-party platforms to enable real-time team analytics. You will automate data preprocessing (cleaning, normalization, validation) for client accounts using rule-based logic and statistical checks to ensure data quality and prepare analysis-ready datasets for modeling and reporting. --- ## Responsibilities - Develop data models to extract, classify, and summarize metadata from unstructured documents to forecast market dynamics and support data-driven strategy. - Design interactive **Tableau** dashboards to visualize KPIs, trends, and progress, and interpret key patterns to support data-driven decisions for stakeholders. - Conduct data analysis on large datasets and apply segmentation, clustering, regression, and exploratory data analysis (EDA) to support client management, market intelligence, and pricing strategies. - Collaborate with business, product, finance, and engineering teams to translate business challenges into data projects (e.g., churn prediction, sales funnel analysis) and provide growth and retention recommendations to leadership. --- ## Requirements - Master of Science in **Data Science**, **Business Analytics**, or a related field. - Minimum 1 year of work experience in large-scale data processing, quality management, predictive modeling, and working with cloud-based data platforms (**Databricks**, **AWS**) in Agile environments using project management tools like **Jira** and **Confluence**. - Expertise in designing interactive dashboards with **Tableau**. - Familiarity with **Scikit-learn**, **XGBoost**, **LightGBM**, and **NLP**. - Proficient in **Python**, **SQL** (PostgreSQL, MySQL, NoSQL), and ETL tools (**Apache Airflow**). --- ## Compensation & Benefits Target annual salary compensation for this role is **$110,000 to $125,000**. The exact compensation at which this job is filled will be determined by the skills and experience of qualified candidates. **CertiK** is proud to offer medical, vision, and dental insurance, a 401(k) plan with company matching, life and accidental death and dismemberment insurance, HSA (with high deductible plan), FSA, and other benefits to all full-time employees, along with flexible paid time off and holidays. CertiK also offers a variable commission program for business development sales roles. --- ## Additional Information In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. **CertiK** is proud to be an equal opportunity employer. We will not discriminate against any applicant or employee on the basis of age, race, color, creed, religion, sex, sexual orientation, gender, gender identity or expression, medical condition, national origin, ancestry, citizenship, marital status or civil partnership/union status, physical or mental disability, pregnancy, childbirth, genetic information, military and veteran status, or any other basis prohibited by applicable federal, state, or local law. CertiK will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. For more information, please refer to the [EEOC Poster](https://www.eeoc.gov/sites/default/files/migrated_files/employers/poster_screen_reader_optimized.pdf). All CertiK employees are expected to actively support diversity on their teams and in the Company. --- ## AI Disclaimer We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. --- *When applying, mention the word **CANDYSHOP** to show you read the job post completely.* ```
2 days ago
Here is the job description converted to clean, well-structured markdown format. --- ## Binance Accelerator Program - Product DA **Location:** Asia / Hong Kong / Taiwan, Taipei **Department:** Product & Design – Product **Program:** Binance Accelerator Program **Workplace Type:** Remote --- ### About Binance Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. ### About Binance Accelerator Program The Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the world’s leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program [HERE](#). ### Who May Apply - Current university students and recent graduates. --- ### Responsibilities - Manage follow-up communications with all stakeholders to ensure proposed actions and data-driven solutions are effectively implemented. - Monitor detailed reports and systematic tracking systems to track project and product progress for better transparency and productivity. - Evaluate product performance data by tracking core metrics including user growth, conversion, retention, and funnel health. Collaborate with internal stakeholders to address performance gaps and drive continuous improvement. - Support AB Test full-cycle execution: sample sizing, significance test, outlier processing, metric tracking, and result analysis. - Assist in developing and optimizing automation processes to improve operational efficiency, while ensuring compliance with security, privacy, and regulatory standards. - Use SQL to conduct data extraction, analysis, and modeling; build and maintain DWA intermediate tables and complex aggregation logic. - Translate business issues into measurable indicators, deliver clear analysis reports, and support data-driven decision making. ### Requirements - Currently pursuing a bachelor’s or master’s degree in a local university. - Data-centric mindset with the ability to analyze large-scale data and derive actionable insights. - Demonstrated understanding of and strong interest in the cryptocurrency / Web3 / fintech industry. - Strong proficiency in SQL preferred; able to write complex queries and perform data modeling. - Understanding of data warehouse layers (DWD / DWA / DWS) and AB Test fundamentals is a strong plus. - Strong communication skills, enabling effective engagement and follow-up with internal stakeholders. - Persistent, proactive, and keen attention to detail. - Adaptable, open-minded, and comfortable working in a fast-paced and remote working environment. - Hands-on, self-driven, and able to deliver structured analysis and clear presentations. --- ### Why Binance - Shape the future with the world’s leading blockchain ecosystem. - Collaborate with world-class talent in a user-centric global organization with a flat structure. - Tackle unique, fast-paced projects with autonomy in an innovative environment. - Thrive in a results-driven workplace with opportunities for career growth and continuous learning. - Competitive salary and company benefits. - Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team). Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. *By submitting a job application, you confirm that you have read and agree to our [Candidate Privacy Notice](#).* --- **AI Disclaimer:** We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. --- *When applying, mention the word **CANDYSHOP** to show you read the job post completely.*
LawnStarter
2 days ago
This is a remote role for candidates located in Belo Horizonte, Brazil. About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Engineering at LawnStarter We're restructuring engineering around initiative teams: a Product Engineer paired with a PM and a designer, with an Engineering Manager who covers a couple of initiatives and supports your growth. The engineer leads AI agents like a team, ships the work, and is accountable — with the rest of the triangle — for whether the initiative moves its metric. We're betting that 1–2 strong engineers running AI agents can outship the labor-team model that defined the last decade of software. That bet only works if the engineers we hire are wired for ownership and can ship to a marketplace with real customers and pros on both sides. The Role You're the engineering anchor of one initiative at a time. The initiative is a team effort — an iron triangle of you, your PM, and your designer — and you have key participation across the full lifecycle: shaping the problem, deciding the technical approach, leading the AI agents that implement most of the code, shipping to production, and answering for the outcome alongside the rest of the triangle. You're accountable for the outcome — not for the volume of code merged. If an agent can ship it safely, your job is to make sure the agent does it right and the metric moves. If the initiative needs hand-written code in a sensitive area, you write it yourself. What makes this role different: You lead AI agents, not humans. Claude Code, Cursor, Codex, and our internal agent stack are your team. You own the quality, safety, and velocity of what they produce. You own an outcome, not a ticket queue. Problem-framing through production through the metric review 2–4 weeks after launch. You partner horizontally with PM and design. No tech lead above you. No architect approval. No ticket grooming committee. The bar is staff, not senior. You make the call when the call needs to be made. If you're waiting to be told, this isn't the role. What You'll Own The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make the call, document it, and revisit it if the data says you were wrong. Agent-led implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code on your initiative. Most lines will be agent-authored. You're accountable for them. Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and your designer (UX decisions, in-tool prototyping with agents), and weekly check-ins with your EM (initiative health, blockers, growth). The initiative outcome — the specific metric the initiative was set up to move. In partnership with your PM, you present results 2–4 weeks post-launch and share the "did it work" answer. A high bar for what ships under your name — production correctness, security posture, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar. Problems to Solve Leading AI agents at staff-level qualityMost of the code on your initiative will be authored by AI agents. The work is making agents ship as if a senior engineer wrote it: prompts that encode our codebase conventions, evals that catch hallucinations before merge, tests that exercise the edges, observability that catches the regression in production before a customer reports it. How do you build the agent workflow that lets one engineer ship what used to take a team? Owning an outcome without a tech leadYou don't have a tech lead to approve your design or an architect to escalate to. You have an EM who covers a couple of initiatives and peers on adjacent ones. How do you make calls fast, document them clearly, and stay accountable to the outcome — without slowing down for hierarchy that no longer exists? Shipping outcomes, not featuresThe initiative will be measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit economics shift. You're accountable for the number, not the feature. How do you scope to actually move it, decide what to not build, and have the discipline to follow up 2–4 weeks after launch even when the next initiative is calling? What Success Looks Like (Year 1) Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved the metric they were set up to move (with the post-launch review to prove it). Agent workflow that travels — The prompts, evals, and review loop you built for your initiative are adopted by at least one other engineer on an adjacent initiative. Cycle time — Median time from problem-framing to first production rollout on your initiatives is meaningfully shorter than the pre-restructure baseline. Zero "agent-shipped that" incidents — No customer- or pro-facing regression traceable to agent-authored code that you missed in review. Visible leverage — Other engineers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use. Who You Are AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship — daily, on production work. You have opinions about prompts, evals, agent loops, MCP servers, and review workflows, and you know when to let the agent run vs. write it yourself. This is unlikely to be a good fit if you describe AI coding as "something you're exploring" or prefer to write everything by hand. Already operating at lead level. You may currently be titled Senior, Staff, Lead, or Principal — but in practice you've been the person making the call, shipping the hard thing, and answering for whether it worked. This is unlikely to be a good fit if you've always had a tech lead breaking down the work for you. Outcome-driven, not output-driven. You measure your week in "did the metric move" and "did the experience get better," not in tickets closed. You read the post-launch dashboard and you own the answer. This is unlikely to be a good fit if you take pride in volume of code shipped or feel uncomfortable being measured on a number you don't fully control. A strong horizontal partner. You hold your own with a strong PM and a strong designer. You bring engineering judgment to product calls and product judgment to engineering calls. This is unlikely to be a good fit if you hide behind "that's product's decision" or default to RICE-scoring tickets handed down to you. Decisive and documented. Architecture decisions, data-model choices, rollout plans — you write them down, get fast input, and move. This is unlikely to be a good fit if you wait for consensus on questions that have a clear right answer, or if you make calls and never write them down. Raises the floor, not just the ceiling. Your impact compounds beyond your own initiative because you leave artifacts — agent workflows, evals, runbooks, post-launch reviews. This is unlikely to be a good fit if you're a lone wolf who ships brilliantly but leaves nothing reusable behind. Cares about customers and pros. This is a real-world marketplace with real people on both sides. This is unlikely to be a good fit if you're chasing pure engineering elegance over business and customer outcomes. This Role Is NOT A tech lead in an old-style team. No 4–5 engineers reporting up to you on technical direction. The team is you + PM + designer + EM, with AI agents doing most of the implementation. A management role today. People management is the EM's job in this role. That said, the path can grow into management for those who want it — it's an open door, not a closed one. A platform-only or architecture-only role. You're a Product Engineer. You ship features that move metrics, end-to-end. Platform work happens inside the initiative when it's needed for the outcome. A "let AI do everything" role. Agents handle implementation grunt work. You handle judgment, design, safety, and accountability. The bar is higher than the old senior bar, not lower. A research role. This is shipping to a marketplace with $100M+ in bookings. Customers and pros are using what you ship inside the same week. Tech You'll Touch AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling Backend — PHP/Laravel Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile) Data — Redshift, dbt, Segment, Airflow Infra — AWS, Datadog, Sentry, GitHub Actions Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents. Benefits Competitive salary of USD $80,000–$100,000 annual base Work from anywhere High ownership and autonomy Fast-moving team that loves to build, learn, and grow
LawnStarter
2 days ago
This is a remote role for candidates located in Florianópolis, Brazil About LawnStarter LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $100M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Engineering at LawnStarter We're restructuring engineering around initiative teams: a Product Engineer paired with a PM and a designer, with an Engineering Manager who covers a couple of initiatives and supports your growth. The engineer leads AI agents like a team, ships the work, and is accountable — with the rest of the triangle — for whether the initiative moves its metric. We're betting that 1–2 strong engineers running AI agents can outship the labor-team model that defined the last decade of software. That bet only works if the engineers we hire are wired for ownership and can ship to a marketplace with real customers and pros on both sides. The Role You're the engineering anchor of one initiative at a time. The initiative is a team effort — an iron triangle of you, your PM, and your designer — and you have key participation across the full lifecycle: shaping the problem, deciding the technical approach, leading the AI agents that implement most of the code, shipping to production, and answering for the outcome alongside the rest of the triangle. You're accountable for the outcome — not for the volume of code merged. If an agent can ship it safely, your job is to make sure the agent does it right and the metric moves. If the initiative needs hand-written code in a sensitive area, you write it yourself. What makes this role different: You lead AI agents, not humans. Claude Code, Cursor, Codex, and our internal agent stack are your team. You own the quality, safety, and velocity of what they produce. You own an outcome, not a ticket queue. Problem-framing through production through the metric review 2–4 weeks after launch. You partner horizontally with PM and design. No tech lead above you. No architect approval. No ticket grooming committee. The bar is staff, not senior. You make the call when the call needs to be made. If you're waiting to be told, this isn't the role. What You'll Own The technical approach — architecture, data model, integration choices, rollout plan, observability, and rollback strategy for your initiative. You make the call, document it, and revisit it if the data says you were wrong. Agent-led implementation quality — the prompts, guardrails, evals, tests, and review loop that let agents ship safe, correct, production-ready code on your initiative. Most lines will be agent-authored. You're accountable for them. Cross-functional partnership — daily working contact with your PM (scope, tradeoffs) and your designer (UX decisions, in-tool prototyping with agents), and weekly check-ins with your EM (initiative health, blockers, growth). The initiative outcome — the specific metric the initiative was set up to move. In partnership with your PM, you present results 2–4 weeks post-launch and share the "did it work" answer. A high bar for what ships under your name — production correctness, security posture, performance, observability, and the experience for customers and pros. Agents accelerate you; they don't lower the bar. Problems to Solve Leading AI agents at staff-level qualityMost of the code on your initiative will be authored by AI agents. The work is making agents ship as if a senior engineer wrote it: prompts that encode our codebase conventions, evals that catch hallucinations before merge, tests that exercise the edges, observability that catches the regression in production before a customer reports it. How do you build the agent workflow that lets one engineer ship what used to take a team? Owning an outcome without a tech leadYou don't have a tech lead to approve your design or an architect to escalate to. You have an EM who covers a couple of initiatives and peers on adjacent ones. How do you make calls fast, document them clearly, and stay accountable to the outcome — without slowing down for hierarchy that no longer exists? Shipping outcomes, not featuresThe initiative will be measured by a metric — a conversion rate, a retention curve, a pro-funnel KPI, a unit economics shift. You're accountable for the number, not the feature. How do you scope to actually move it, decide what to not build, and have the discipline to follow up 2–4 weeks after launch even when the next initiative is calling? What Success Looks Like (Year 1) Initiative outcomes hit — You've shipped 3–4 initiatives end-to-end, and at least two clearly moved the metric they were set up to move (with the post-launch review to prove it). Agent workflow that travels — The prompts, evals, and review loop you built for your initiative are adopted by at least one other engineer on an adjacent initiative. Cycle time — Median time from problem-framing to first production rollout on your initiatives is meaningfully shorter than the pre-restructure baseline. Zero "agent-shipped that" incidents — No customer- or pro-facing regression traceable to agent-authored code that you missed in review. Visible leverage — Other engineers point to artifacts you left behind — runbooks, evals, agent workflows, post-launch write-ups — as references they use. Who You Are AI-native. Claude Code, Cursor, Codex, or equivalent are how you ship — daily, on production work. You have opinions about prompts, evals, agent loops, MCP servers, and review workflows, and you know when to let the agent run vs. write it yourself. This is unlikely to be a good fit if you describe AI coding as "something you're exploring" or prefer to write everything by hand. Already operating at lead level. You may currently be titled Senior, Staff, Lead, or Principal — but in practice you've been the person making the call, shipping the hard thing, and answering for whether it worked. This is unlikely to be a good fit if you've always had a tech lead breaking down the work for you. Outcome-driven, not output-driven. You measure your week in "did the metric move" and "did the experience get better," not in tickets closed. You read the post-launch dashboard and you own the answer. This is unlikely to be a good fit if you take pride in volume of code shipped or feel uncomfortable being measured on a number you don't fully control. A strong horizontal partner. You hold your own with a strong PM and a strong designer. You bring engineering judgment to product calls and product judgment to engineering calls. This is unlikely to be a good fit if you hide behind "that's product's decision" or default to RICE-scoring tickets handed down to you. Decisive and documented. Architecture decisions, data-model choices, rollout plans — you write them down, get fast input, and move. This is unlikely to be a good fit if you wait for consensus on questions that have a clear right answer, or if you make calls and never write them down. Raises the floor, not just the ceiling. Your impact compounds beyond your own initiative because you leave artifacts — agent workflows, evals, runbooks, post-launch reviews. This is unlikely to be a good fit if you're a lone wolf who ships brilliantly but leaves nothing reusable behind. Cares about customers and pros. This is a real-world marketplace with real people on both sides. This is unlikely to be a good fit if you're chasing pure engineering elegance over business and customer outcomes. This Role Is NOT A tech lead in an old-style team. No 4–5 engineers reporting up to you on technical direction. The team is you + PM + designer + EM, with AI agents doing most of the implementation. A management role today. People management is the EM's job in this role. That said, the path can grow into management for those who want it — it's an open door, not a closed one. A platform-only or architecture-only role. You're a Product Engineer. You ship features that move metrics, end-to-end. Platform work happens inside the initiative when it's needed for the outcome. A "let AI do everything" role. Agents handle implementation grunt work. You handle judgment, design, safety, and accountability. The bar is higher than the old senior bar, not lower. A research role. This is shipping to a marketplace with $100M+ in bookings. Customers and pros are using what you ship inside the same week. Tech You'll Touch AI agents — Claude Code, Cursor, Codex, internal agent stack, MCP servers, evals tooling Backend — PHP/Laravel Frontend — TypeScript/React/React Native (customer & pro apps, web and mobile) Data — Redshift, dbt, Segment, Airflow Infra — AWS, Datadog, Sentry, GitHub Actions Documentation & process — Brain (Claude Code skills + docs repo), Confluence, Jira You don't need every box checked. You need deep skill in at least one of our stacks plus credible production experience with AI coding agents. Benefits Competitive salary of USD $80,000–$100,000 annual base Work from anywhere High ownership and autonomy Fast-moving team that loves to build, learn, and grow
Confirmo
3 days ago
## **Data Engineer at Confirmo** **Confirmo** is a global stablecoin-first payment platform trusted by market leaders. Originally founded in Prague in 2014, we now run one of the most established infrastructures in the industry. We're a 60-person global team, and we're looking for a **Data Engineer** to help shape the foundation of how we work with data — you'd be joining as our second hire in this space, with plenty of room to make your mark. ### **Key Responsibilities** You're going to make sure people at Confirmo can make data-driven decisions. We don't expect you to be creating reports or running data analyses yourself — we expect you to enable pretty much everyone else to do so. As Confirmo's second data engineer, you'll achieve this by: - Understanding Confirmo's business model, deeply mastering our data model, and then significantly shaping it so it stays maintainable and representative. - Building trustworthy and robust data pipelines that deliver information from various internal and 3rd-party sources (our transactional systems, banks, PSPs, exchanges, blockchain(s), etc.). - Proposing tooling that's suitable, affordable, and adoptable for a scaleup of Confirmo's size and needs. - Our current workhorses are **PostgreSQL**, **Airflow**, **Python**, and **AWS** — but we're open to extending the stack with anything else that makes sense. ### **Your Profile** - A data engineering background and a taste for exploring and quickly adopting new technologies and approaches. - Demonstrated experience with both traditional (OLTP, OLAP) and horizontally scalable warehousing approaches (Data Lake, Data Mesh, built on **BigQuery**, **Spark**, **Snowflake**, or anything similar). You may have been a follower so far, adopting techniques at your previous company — but at Confirmo, we expect you to speak up, and possibly even lead the way, on this front. - Professional software engineering experience. **Python** is ideal, but any other major language used in data processing is almost as relevant. - Real, non-tutorial knowledge of data modelling and data warehousing principles. - Data infrastructure engineering experience, or the willingness to quickly pick it up. We don't have many dedicated infrastructure engineers, so we expect everyone — and definitely the data engineer — to become proficient in **Terraform** and other IaC-based infrastructure management techniques. - An interest in fintech and/or crypto technologies is a plus. ### **Location & Application** **Location:** Our office is in Prague, but the role can be remote across the Czech Republic or Slovakia. If you're interested in learning more, please submit your CV and our recruiter will get back to you promptly. When applying, mention the word **CANDYSHOP** to show you read the job post completely.