Machine Learning Jobs
315 jobs found
1 day ago
## **ZAUBAR** – Project & Innovation Lead (m/w/d) **ZAUBAR** gestaltet die nächste Generation ortsbasierter Erlebnisse. Mit KI-gestützter Augmented Reality verwandeln wir reale Orte in interaktive Kommunikationsräume. Unser Spatial Agent eröffnet Museen, Städten, Marken und Institutionen neue Wege, ihre Geschichten intelligent, immersiv und dialogfähig zu erzählen. Für unsere nächsten Wachstumsschritte suchen wir eine unternehmerisch denkende Persönlichkeit, die neue Projekte von der Idee bis zur Umsetzung entwickelt. In dieser Rolle arbeitest du an neuen Anwendungsfeldern, strukturierst Business Cases und bringst innovative KI- und AR-Lösungen in skalierbare Projektmodelle. Du bewegst dich zwischen Produkt, Markt und Umsetzung und entwickelst aus Ideen konkrete Wachstumsinitiativen. **Dein Ziel**: Neue Projektansätze identifizieren, tragfähige Konzepte entwickeln und Innovation in messbares Wachstum übersetzen. ### Aufgaben - **Projektentwicklung und Business Cases** – Du entwickelst neue Projektideen, strukturierst Wirtschaftlichkeitsbetrachtungen und bewertest Skalierungspotenziale. - **Use Case Entwicklung** – Du identifizierst neue Anwendungsfelder für KI und AR und formulierst klare Value Propositions für unterschiedliche Zielgruppen. - **Pilotprojekte strukturieren** – Du konzipierst Pilotprojekte, definierst Zielsetzungen und bereitest die operative Umsetzung vor. - **Markteinführung begleiten** – Du unterstützt bei der Positionierung neuer Lösungen im Markt und arbeitest eng mit Vertrieb und Produkt zusammen. - **Anforderungsanalyse** – Du strukturierst Kundenanforderungen und übersetzt sie in realisierbare Projektkonzepte. - **Interne Koordination** – Du koordinierst Teams aus Produkt, Technik und Business und stellst sicher, dass Innovationsprojekte effizient umgesetzt werden. ### Qualifikation - Erfahrung im Projektmanagement, in der Projektentwicklung oder im innovationsnahen Umfeld - Erfahrung in Business Case Entwicklung oder Wachstumsprojekten von Vorteil - Verhandlungssichere Deutschkenntnisse und sehr gute Englischkenntnisse - Analytisches Denkvermögen und unternehmerische Arbeitsweise - Fähigkeit, komplexe Ideen in strukturierte Projektpläne zu übersetzen - Eigeninitiative und Interesse an skalierbaren Geschäftsmodellen - Begeisterung für KI, AR und digitale Innovation ### Benefits - Schlüsselrolle in der Entwicklung neuer Wachstumsfelder - Hoher Gestaltungsspielraum und echte Verantwortung - Direkter Einfluss auf neue Produkte und Marktinitiativen - Enge Zusammenarbeit mit Geschäftsführung und Produkt - Regelmäßige Team- und Sportevents wie Firmenläufe oder gemeinsame Radtouren - Modernes Büro im Herzen Berlins mit Kaffee und Tee zur freien Verfügung Wenn du Projekte nicht nur planst, sondern vorantreibst, wenn du Innovation in konkrete Ergebnisse übersetzen willst, und wenn du Lust hast, KI- und AR-Projekte von der ersten Idee bis zur Skalierung zu begleiten, dann lass uns gemeinsam neue Wachstumsfelder erschließen. --- *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
## **Job Title: Senior Unity Game Developer (AR/Immersive Experiences)** This goes out to everyone who wants to push things forward. We are inventing a new kind of tour — immersive explorations powered by location-based augmented reality that are social, fun, and educating. At **ZAUBAR**, we're taking the metaverse to the streets! Right now, we're partnering with some of Germany's most interesting cultural institutions, media houses, tour operators, and brands to make immersive tours a reality. Soon, we're enabling anyone to create, distribute, and monetize immersive tours. The founders and team have deep backgrounds in AI, 3D UI, and journalism. We are looking for a seasoned game developer with experience shipping multiple **Unity** games or interactive apps. You enjoy solving complex device and game platform problems where you can exercise your practical technical knowledge. You also effectively collaborate with others to provide technical expertise on identified issues. As a small team where the code you write gets deployed fast, you'll be responsible for development, testing, and code quality. This role requires a high level of ownership over the product code and working closely with the team. You'll also be working with the creative and product teams to plan new features and prioritize problems and opportunities. In order to set you up for success, we provide everything you need within our dynamic and employee-centric company structure. Full responsibility and ownership of your work — you're making time travel possible! --- ### **Tasks** - Conceptualize and execute the architecture of a platform targeting creators and consumers - Implement a variety of gameplay mechanics and client/server components - Optimize performance for playback focused on mobile devices (**iOS**, **Android**, **AR Glasses**) - Set up in-house pipelines to boost output in code, artwork, and QA - Review pull requests and contribute to the growth of the team - Work closely and communicate openly with engineers, designers, and management team - Proactively train yourself to remain at the forefront of augmented reality development - Be part of a developer team and able to mentor new developers - Build something that people really want --- ### **Requirements** - 5+ years experience in development with high-level languages - 3+ years with **Unity** or a similar game engine, with multiple shipped products - Implicit understanding of real-time performance - Ideally have shader knowledge - A super open and friendly person - Solve problems until they are done --- ### **Benefits** - Low hierarchy - Substantial equity - Team events (VR, AR scavenger hunts, meetups, bicycle rides, parties) - Flexible work times - Partly home office - Coffee and tea flatrate in the office --- 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.**
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.* ```
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
3 days ago
## About the Company A leading global accelerator supporting top crypto founders and early-stage startups. Since 2020, the accelerator has backed hundreds of startups across **Web3**, **infrastructure**, **DeFi**, **AI**, and **fintech**, with portfolio companies collectively valued in the billions. The team is now looking for a highly driven **General Partner** to work directly with founders and help scale the next generation of category-defining companies. ## What You’ll Do - Mentor and advise founders throughout the accelerator program - Support startups in achieving product-market fit through strategic and operational guidance - Help teams prepare for fundraising, **Demo Day**, and investor meetings - Introduce founders to investors and support seed round execution - Evaluate startup applications and conduct founder interviews - Build conviction around exceptional technical founders and emerging markets - Act as a trusted advisor during critical company moments including pivots, fundraising pressure, and co-founder challenges - Create engaging content across podcasts, essays, **LinkedIn**, and **X/Twitter** ## Requirements - Proven founder experience building and scaling startups - Deep understanding of the startup journey from **0→1** and beyond - Strong expertise in **crypto**, **Web3**, **AI**, or emerging technologies - Excellent judgment evaluating founders, markets, and early-stage opportunities - High emotional intelligence and ability to work closely with ambitious founders - Comfortable operating in fast-paced, high-performance environments ### Nice to Have - Early-stage investment or venture capital experience - Strong network within crypto or AI ecosystems - Experience supporting fundraising and investor relations ### Ideal Candidate - Highly hands-on and execution-oriented - Entrepreneurial mindset with strong ownership mentality - Passionate about **crypto**, **AI**, and frontier technologies - Willing to relocate to **New York** (required) ## Why Join - Work closely with some of the most ambitious crypto and AI founders globally - Join a lean, high-impact team with operators from leading tech and startup companies - Gain exposure to hundreds of startups and investors across the ecosystem - Opportunity to shape the future of emerging technologies and venture ecosystems ## Compensation - **Base Salary:** USD $250K – $300K - **Equity** included ## Location - **New York, United States** (On-site) --- *When applying, mention the word **CANDYSHOP** to show you read the job post completely.*
3 days ago
## Entrepreneurship Opportunity in Fashion-Luxury Tech **(Only for US citizens based in New York City or Los Angeles)** ### Company Description - Co-Founder opportunity to build and scale an innovative customer engagement and community platform for consumer industries including fashion, luxury, beauty, and sustainability — leveraging Blockchain and AI to drive disruption. - **Rise and Fame** is transforming the way brands engage with customers through personalized experiences, meaningful interactions, and lasting emotional loyalty. - [risenfame.com](http://risenfame.com) enables businesses to launch token-powered loyalty ecosystems offering premium memberships, exclusive benefits, personalized experiences, event access, and gamified customer engagement. ### Desired Interpersonal Skills - Energetic individual, challenge seeker, interested in exploring a new entrepreneurship journey, and looking to build something disruptive and valuable. - Natural ability to connect with people and communicate new ideas effectively. - The ability to overcome obstacles and find creative solutions. - Eager to dive into the fast-paced environment of a rapidly evolving startup and driven to make an impact from day one. ### Skill Sets and Experiences We Are Looking For - Early to mid-career - Expertise in LinkedIn B2B GTM, with the ability to convert potential clients - Good with content creation and engaging with potential businesses on LinkedIn - Awareness of technologies like Web 3.0, Blockchain, NFTs, and AI **(Must)** - Experience in the fashion and luxury business **(Must)** - Connections to investors or potential business clients **(Preferable)** ### What You’ll Be Driving - Define and execute the company’s go-to-market (GTM) and growth strategy in the US - Open new business opportunities with fashion, luxury, and retail brands - Create engaging LinkedIn content and drive thought leadership for the brand - Represent the company at industry events and networking opportunities - Support fundraising activities like investor outreach, communicate market opportunity, traction, and long-term scalability with confidence and clarity ### Compensation Structure - Equity in the company - Salary compensation range: $50K – $75K (will be included post fundraising) - 25% to 50% profit sharing on closing sales - Successful fundraising bonus ### Commitment - 4–5 hours per day (Monday – Friday), including daily alignment meetings ### Working Environment - Open, inclusive, remote, online, flexible hours *When applying, mention the word **CANDYSHOP** to show you read the job post completely.*