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Junior Support Engineer
UChat is an #1 omni-channel chatbot platform for small businesses to engage customers 24/7, increase revenue, reduce costs, and delight users across 12+ social channels.
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iOS Developer
UChat is an #1 omni-channel chatbot platform for small businesses to engage customers 24/7, increase revenue, reduce costs, and delight users across 12+ social channels.
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Member of Technical Staff, Platform
HoneyHive is a unified platform for modern AI observability and evaluation, helping teams test, debug, monitor, and optimize AI agents in production.
Benefits:
Competitive salary + meaningful equity
Health, vision, and dental benefits
Unlimited PTO
Assistance in relocating to NYC or SF
MacBook Pro + peripherals
Experience Requirements:
5+ years of full-time experience in infrastructure / platform engineering roles
Deep expertise in Kubernetes and experience managing deployments in production environments
Familiarity with event-driven architectures and message queuing systems (e.g., NATS, Kafka)
Experience with high-throughput data systems and databases like ClickHouse
Experience operating production systems in multiple cloud environments (AWS/GCP/Azure)
Responsibilities:
Own the development and optimization of our core microservices architecture running on Kubernetes
Build scalable data processing pipelines that handle large volumes of AI interaction data
Scale distributed databases like ClickHouse to enable powerful analytics capabilities
Build and automate secure customer‑VPC deployments across AWS, Azure, and GCP
Collaborate with the founding team to shape our technical architecture and product roadmap
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Generalist Opening
Ello is your child's AI read-along companion for Kindergarten to 3rd Grade, designed to transform them into enthusiastic and confident readers.
Other Requirements:
Are you legally authorized to work in the U.S.?
Where are you located? Are you open to relocating to San Francisco?
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Senior Full Stack Engineer
Secta Labs is an advanced AI tool that generates hundreds of professional headshots in limitless styles, offering instant edits and photo replication in minutes.
Experience Requirements:
5+ years of experience as a full stack engineer
Proficiency in React, NextJS, TypeScript, and backend technologies (e.g., Node.js, Express, PostgreSQL)
Working knowledge of frontend concepts related to aesthetics, design, and usability
Experience with ORMs, deploying to cloud platforms (e.g., Railway), and understanding caching and scaling
Ability to communicate your ideas to engineers, leadership, and users
Other Requirements:
Bonus: Worked as a CTO at any previous companies you may have founded or joined so that you’ve been exposed to the full scope of problems that a startup experiences.
Bonus: Built side projects, played with Stable Diffusion, or already used Bun
Responsibilities:
Onboarding flow for our Web product surface (Consumer + Business)
Checkout flow on web using Stripe's React SDK
New AI features in our Gallery
The next version of our Enterprise dashboard for larger companies like Microsoft, Dell and Hubspot
Building and maintaining backend services, APIs, and databases
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Senior Site Reliability Engineer
Regie.ai is the world’s first AI sales engagement platform, combining predictable human outreach with AI Agents to streamline prospecting and drive revenue.
Benefits:
Stock options
Experience Requirements:
6+ years of experience in SRE, DevOps, or infrastructure engineering roles.
Other Requirements:
Extensive hands-on experience with AWS and its core services.
Strong experience with Terraform (or similar IaC tools), Docker and containerization, and modern CI/CD systems.
Proficient in scripting or programming languages such as Python and Bash.
Deep experience with monitoring and alerting tools (e.g., New Relic, Prometheus, Grafana, PagerDuty).
Strong hands-on experience with both SQL and NoSQL databases (e.g., MongoDB, PostgreSQL, MySQL).
Responsibilities:
Design and maintain scalable, secure, and reliable infrastructure to support Regie.ai's SaaS platform and AI/data workloads.
Architect a unified monitoring and alerting system for engineering teams to continuously monitor and improve system availability, reliability, performance.
Drive infrastructure automation and CI/CD improvements to reduce operational overhead and deployment risk.
Optimize infrastructure costs, support compliance efforts (e.g., SOC 2), and enforce security best practices.
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Senior Software Engineer
Regie.ai is the world’s first AI sales engagement platform, combining predictable human outreach with AI Agents to streamline prospecting and drive revenue.
Benefits:
Stock options
Experience Requirements:
5+ years of software engineering experience or equivalent as a full stack or Backend engineer.
Experience in Node.js, MongoDB, AWS platforms and services is a plug, but not required.
Experience working with or integrating into modern sales tech stacks (e.g., CRMs, sales engagement platforms) is a plus, but not required.
Other Requirements:
Extensive experience in architecting, designing, and developing scalable and reliable backend services for SaaS platforms.
Strong problem-solving skills and proven ability to thrive in collaborative, cross-functional team environments.
Deep hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
Solid understanding of both SQL and NoSQL database systems.
Entrepreneurial mindset with experience—or a strong desire—to work in fast-paced startup environments.
Responsibilities:
Identify and address system-level challenges that hinder customer value delivery and prolong time to value by improving, overhauling, or designing new systems.
Design and implement strategic integrations with major CRM, data, and sales engagement platforms to maximize Regie.ai’s reach and stickiness within customer ecosystems.
Partner cross-functionally with product, customer success, and implementation teams to prioritize initiatives that drive customer retention, activation, and growth.
Act as a force multiplier by fostering a culture of customer-centric thinking and engineering excellence.
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QA Automation Engineer (contract)
Checksum is an AI-powered end-to-end testing tool that automatically generates, maintains, and self-heals tests based on user sessions, ensuring fast and bug-free code deployment.
Benefits:
Catered lunch 3 days a week in our San Francisco office (hybrid flexibility available)
A fast-moving, collaborative team that values execution over ego
A strategic role in shaping the growth trajectory of a cutting-edge AI startup
Hand on collaboration with our co-founders and leadership
Experience Requirements:
1+ years of experience with Playwright, Cypress, or other web automation frameworks, or a strong background in frontend development
1+ years of experience with JavaScript/TypeScript
Other Requirements:
A proactive approach and a drive to make an impact
Experience with AI models and integrating them into your workflow
Excited to work in an early-stage, fast-paced environment where playbooks are still being built
Excited about the opportunity to collaborate with external customers and manage client relationships
Ability to come into the SF Office 4-5 days a week
Responsibilities:
Write clear, concise, and well-structured automated test scripts that cover a wide range of scenarios and edge cases
Integrating AI models into your day to day work flow
Execute automated tests regularly and analyze test results to identify and report defects
Collaborate with developers to reproduce and troubleshoot issues found during testing
Maintain and update test reports and metrics to track the effectiveness of test automation efforts
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Director of Engineering, Platform Engineering
Everlaw is an advanced ediscovery software that transforms litigation and investigations, offering innovative tools for legal professionals.
Benefits:
Equity program
401(k) retirement plan with company matching
Health, dental, and vision
Flexible Spending Accounts for health and dependent care expenses
Paid parental leave and approximately 10 days (80 hours) per year of sick leave
Education Requirements:
BS/MS or PhD in Computer Science (or equivalent)
Experience Requirements:
At least 5 years of experience as a senior engineer building one or more of - developer productivity tools, highly available platform services (i.e. storage systems, pub-sub systems, search systems, caching solutions, observability solutions) and/or have expertise and experience with infrastructure and/or cloud technologies (like Ansible, Terraform, Kubernetes, Docker etc)
At least 3 years of experience managing and leading senior engineers
At least 1 year of experience managing and leading managers
Other Requirements:
Sound foundational understanding of a wide range of computer science topics and concerns relating to system and software design
Good dynamic range that you apply to different situations - you can step back and empower, while also diving deep into the code to understand the details
Communicate at the right altitude with both technical and non-technical stakeholders
Experience working with stakeholder teams (internal and/or external) in setting and collaborating on technical roadmaps
Experience communicating with customers articulating to them how the platform works on reliability, security and compliance matters
Responsibilities:
Critically observe and understand Everlaw’s platform, tooling and processes.
Understand current and upcoming challenges and requirements from the viewpoint of multiple stakeholders.
Understand company goals and Engineering roadmaps.
Strategize, prioritize, resource and execute against our Engineering roadmap.
Actively coach your reports (both senior engineers and managers) to deliver on projects and ensure they get the right types of feedback and coaching they need to succeed in their careers.
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Director of Engineering, Product Engineering
Everlaw is an advanced ediscovery software that transforms litigation and investigations, offering innovative tools for legal professionals.
Benefits:
Equity program
401(k) retirement plan with company matching
Health, dental, and vision
Flexible Spending Accounts for health and dependent care expenses
Paid parental leave and approximately 10 days (80 hours) per year of sick leave
Education Requirements:
BS/MS or PhD in Computer Science (or equivalent)
Experience Requirements:
At least 5 years as a Software engineer
At least 4 years experience managing people (of which at least 3 years is as a manager managing engineers and at least 1 year managing other managers)
Experience as an engineer building our applications and/or distributed systems
Experience managing product engineering and/or full-stack teams
Other Requirements:
Sound understanding of a wide range of computer science topics and concerns relating to system and software design
Expertise and experience with full stack web technologies
Experience working with stakeholder teams (internal and/or external) communicating and collaborating on topics related to product and application infrastructure
Authorized to work in the United States. Please note that currently, Everlaw is not sponsoring employment visas.
Responsibilities:
Critically observe and understand Everlaw’s Product, platform, tooling and processes.
Understand current and upcoming challenges and requirements from the viewpoint of multiple stakeholders.
Understand company goals and Product roadmaps.
Strategize, prioritize, resource and execute against features by collaborating closely with your Engineering, Product and Design counterparts.
Actively coach your reports to deliver on projects and ensure they get the right types of feedback and coaching they need to succeed in their careers.
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Engineering Manager, Platform Engineering
Everlaw is an advanced ediscovery software that transforms litigation and investigations, offering innovative tools for legal professionals.
Benefits:
Equity program
401(k) retirement plan with company matching
Health, dental, and vision
Flexible Spending Accounts for health and dependent care expenses
Paid parental leave and approximately 10 days (80 hours) per year of sick leave
Education Requirements:
BS/MS or PhD in Computer Science (or equivalent)
Experience Requirements:
At least 5 years of experience as a senior engineer building one or more of - developer productivity tools, highly available platform services (i.e. storage systems, pub-sub systems, search systems, caching solutions, observability solutions) and/or have expertise and experience with infrastructure and/or cloud technologies (like Ansible, Terraform, Kubernetes, Docker etc)
Experience managing and building scalable database infrastructure (experience with RDBMS - Postgres, MySQL or equivalent)
At least 1 year experience leading software engineers - either as a manager managing engineers or as a technical lead managing the technical workstreams of software engineers.
Other Requirements:
Sound foundational understanding of a wide range of computer science topics and concerns relating to system and software design
Good dynamic range that you apply to different situations - you can step back and empower, while also diving deep into the code to understand the details
Communicate at the right altitude with both technical and non-technical stakeholders
Experience working with stakeholder teams (internal and/or external) in setting and collaborating on technical roadmaps
Experience communicating with customers articulating to them how the platform works on reliability, security and compliance matters
Responsibilities:
Critically observe and understand Everlaw’s platform, infrastructure, tooling and processes.
Understand current and upcoming challenges and requirements from the viewpoint of multiple stakeholders.
Understand company goals and Product and Infrastructure roadmaps.
Strategize, prioritize, resource and execute against critical infrastructure priorities
Actively coach your reports to deliver on projects and ensure they get the right types of feedback and coaching they need to succeed in their careers.
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Software Engineer I-III
Everlaw is an advanced ediscovery software that transforms litigation and investigations, offering innovative tools for legal professionals.
Benefits:
Substantial equity
401k with company matching
Health, dental, and vision
Flexible Spending Accounts for health and dependent care expenses
Paid parental leave and sick leave
Education Requirements:
BS or MS in Computer Science
Computer Engineering
Electrical Engineering
Data Science
Computer Information Systems or equivalent coursework
Experience Requirements:
For SWE I: good knowledge of algorithms and fundamental computer science concepts; experience and proficiency in coding in a dominant language such as C++, Java, Python, or Javascript; some experience building small software projects as part of class assignments or summer internships.
For SWE II or higher: full-time experience working as a Software Engineer.
Other Requirements:
Authorized to work in the United States. Please note that currently, Everlaw is not sponsoring employment visas for this role.
Strong CS fundamentals, humility, and interest in expanding their skills in new directions.
Self-driven engineers that love their craft, write clean software, use the right tools for the job, and avoid dogma.
Responsibilities:
Choose from a wide variety of features options, owning them from inception to release as the sole contributor.
Collaborate with one or more of the Product, Design, Engineering Operations, Security Engineering, and DevOps teams to build out and implement new features that are used in our production environments.
Fix defects in our product by triaging product or system issues and writing code to debug and resolve these issues.
Providing on-call support for the product by answering questions from customers, and triaging defects and exceptions.
Contribute to documentation for internal engineering consumption.
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Backend Engineer
Globality is an AI-driven platform that guarantees significant savings for all enterprise spend, improving business outcomes for Global 2000 companies.
Education Requirements:
Bachelor’s or Master’s in Computer Science/Engineering or equivalent experience
Experience Requirements:
3+ years of experience in software engineering with a proven track record of shipping successful projects
Hands-on experience with agile development methodologies and microservice architecture
Strong ability to effectively communicate complex ideas to both technical and non-technical audiences, both verbally and in writing
A passion for continuous learning, customer empathy, and a desire to innovate within a fast-paced environment
Other Requirements:
Strong problem-solving skills
Sound judgment
Commitment to delivering high-quality software
Curiosity and translating learning into systematic improvement
Thinking clearly and communicating effectively
Responsibilities:
Owning delivery end-to-end and releasing without drama
Treating team success as personal success
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Product Designer - Bengaluru
Flagright is an AI-native platform providing transaction monitoring and AML compliance solutions for financial institutions globally, automating risk detection and streamlining operations.
Benefits:
Work alongside a highly competent, top-tier team (Y Combinator, ex Palantir, AWS, Revolut, Zalando).
Great career development opportunities in a fast-growing company.
Low bureaucracy, minimal meetings, async communications culture, and flat structure.
Significant equity option package at a YC-backed startup.
You’ll be paid at the top of your market level.
Experience Requirements:
A minimum of 3 years experience working as a product designer shipping preferably for an enterprise or a complex product.
Other Requirements:
Portfolio with a minimum of 2 case studies is a must.
Can understand our product or have experience working with complex enterprise products.
Have the ability to see and understand the requirements beyond the problem statements.
Can understand user insights & requirements.
Have the ability to quickly adapt to the product and take ownership of it.
Responsibilities:
Can understand our product or have experience working with complex enterprise products.
Have the ability to see and understand the requirements beyond the problem statements.
Can understand user insights & requirements.
Can translate requirements into user-friendly designs.
Can perform user testing and understand how design can affect metrics/goals.
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Senior Devops Engineer
Compass is an AI-powered sales incentive and commission management software that automates payouts, gamifies sales, and provides real-time performance tracking.
Education Requirements:
Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
Certifications like AWS Certified DevOps Engineer, Certified Kubernetes Administrator (CKA), or Certified Information Systems Security Professional (CISSP) are a plus
Experience Requirements:
Minimum 5 years of experience in DevOps, SRE, or infrastructure engineering
Proven experience with on-premise infrastructure management as well as public cloud platforms (AWS, GCP, Azure)
Proficient in scripting languages like Bash, Python, or Go
Hands-on experience with CI/CD tools like Jenkins, GitLab CI/CD, ArgoCD, or CircleCI
Solid understanding of networking, firewalls, VPNs, and load balancing in both cloud and on-prem contexts
Other Requirements:
Experience with hybrid workload orchestrators (e.g., Anthos, Azure Arc)
Knowledge of observability best practices and tools like Open Telemetry
Familiarity with policy-as-code tools like OPA/Gatekeeper or HashiCorp Sentinel
Responsibilities:
Design, build, and maintain scalable and resilient CI/CD pipelines for on-prem, cloud (AWS/Azure/GCP), and hybrid environments
Implement and manage infrastructure-as-code (IaC) using tools such as Terraform, Ansible, or Pulumi
Oversee container orchestration and deployment using Docker, Kubernetes, and other relevant platforms
Lead configuration and monitoring of infrastructure with Prometheus, Grafana, ELK Stack, or similar tools
Implement security best practices in infrastructure and deployment pipelines (DevSecOps)
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Business Intelligence Manager
Skan AI is an AI-powered process intelligence platform that provides 360° process insights, enabling businesses to optimize operations, drive automation, and ensure compliance.
Experience Requirements:
10+ years of hands-on leadership in business intelligence, advanced analytics, or data science
Other Requirements:
Expert-level proficiency in Databricks or Snowflake, Microsoft Power BI, and Tableau
Advanced SQL skills with substantial experience in modern data warehousing architectures
Strong Python capabilities for sophisticated data manipulation and transformation in AI/ML environments
Proven track record of creating intuitive, AI-enhanced dashboards that effectively communicate complex insights
Extensive experience conducting business process analysis and generating actionable intelligence for automation and optimization
Exceptional autonomy with the ability to drive projects independently while collaborating seamlessly across functions
Strategic analytical mindset focused on converting data into measurable business impact through both descriptive (what happened) and prescriptive (what should happen) approaches
Outstanding communication skills with the ability to translate complex AI-powered data narratives into compelling, strategic recommendations
Bonus experience in process mining, AI-driven analytics, value engineering, or automation intelligence
Responsibilities:
Lead the analytics revolution by designing and implementing both descriptive analytics that illuminate what's happening and prescriptive analytics that guide what should happen next
Architect and deliver sophisticated customer-facing dashboards that translate AI-powered process intelligence into clear automation opportunities and performance metrics
Pioneer industry-specific analytics frameworks that showcase the transformative potential of AI in optimizing business processes
Execute deep-dive analyses that uncover hidden patterns and trends, enhancing Skan's AI models and driving continuous product improvement
Push the boundaries of data visualization to make complex insights immediately accessible and actionable
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Sr. Business Intelligence Developer
Skan AI is an AI-powered process intelligence platform that provides 360° process insights, enabling businesses to optimize operations, drive automation, and ensure compliance.
Experience Requirements:
6-10 years of business intelligence or data analytics experience – experience with Snowflake and Microsoft PowerBI preferred
3+ years’ experience working with BI tools or any data-specific role with a sound knowledge of database management, data modeling, business intelligence, SQL querying, data warehousing, and online analytical processing
Other Requirements:
In-depth understanding and experience with Microsoft BI stacks such as Power Pivot, SSIS, SSRS, and SSAS
Experience using Python to parse, structure, and transform data
Affinity for numbers and metrics
Ability to create user friendly and concise dashboards which enable the customer to understand their process better
Clear and effective communication skills
Team Player with willingness to learn
Ability to coordinate with different teams across the organization
Analyzing industries, overall economic and corporate trends
Conduct and facilitate internal and external research and discovery around customer business processes
Hands-on experience with PowerBI
Previous industry experience in Banking, Finance or Healthcare
Data Analytics certification
Responsibilities:
Ability to interpret data and build/modify dashboards jointly with customers, and based on data, propose potential process improvement solutions with internal teams and customer stakeholders
Work with data to arrive at key metrics and KPI’s for our customers. E.g. NPS (Net Promoter Score), FPR (First Pass Rate) etc
Create dashboards with a high level of creativity to bring out powerful business value through insights and stories and present to internal stakeholders
Uncover trends and correlations through data mining and analysis to develop insights that can improve the business and help make effective decisions
Analyze unique operational data to find new and deep insights that bring our customers' value
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AI Engineer
Skan AI is an AI-powered process intelligence platform that provides 360° process insights, enabling businesses to optimize operations, drive automation, and ensure compliance.
Education Requirements:
Bachelor's/Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field
Experience Requirements:
Experience in training and deploying ML models in production
Other Requirements:
Strong programming skills in Python
Proficiency with AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn)
Knowledge of cloud computing (AWS, GCP, Azure) and MLOps tools
Understanding of data structures, algorithms, and optimization techniques
Experience with data engineering, feature extraction, and model evaluation
Knowledge of deep learning techniques (CNNs, RNNs, Transformers, GANs, etc.)
Experience with LLMs (GPT, BERT, LLaMA, T5) and fine-tuning models
Knowledge of multi-modal AI (text, image)
Knowledge of reinforcement learning, planning, and decision-making models
Hands-on experience with big data processing and big data frameworks
Familiarity with vector databases
Experience in real-time AI applications for high-performance systems
Responsibilities:
Design, develop and optimize ML/AI models for classification, regression, and recommendation systems.
Implement machine learning pipelines (end-to-end), from data preprocessing to model deployment.
Develop and fine-tune deep learning architectures using TensorFlow, PyTorch etc.
Apply MLOps best practices for model versioning, monitoring, and retraining.
Work with large-scale datasets, performing feature engineering and data augmentation.
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DevOps Manager
Skan AI is an AI-powered process intelligence platform that provides 360° process insights, enabling businesses to optimize operations, drive automation, and ensure compliance.
Education Requirements:
Bachelor’s degree in Computer Science, Information Technology, or related field (or equivalent experience)
Experience Requirements:
5+ years of experience in a DevOps role with at least 2 years in a managerial position
Proven experience with Kubernetes, Azure cloud services, PostgreSQL, and message queue technologies
Other Requirements:
Strong expertise in Azure DevOps CI/CD pipelines
Hands-on experience with Terraform and Ansible
Deep understanding of infrastructure security best practices
Proficiency in managing messaging services (RabbitMQ, Kafka, etc.) and data platforms
Experience with Azure governance and policy management tools
Proficiency in monitoring and observability tools like Prometheus, Grafana, and Azure Monitor
Proficient in incident response, post-mortem analysis, and managing changes via ITIL practices or ServiceNow integration
Microsoft Certified: Azure Solutions Architect / DevOps Engineer
Certified Kubernetes Administrator (CKA)
Terraform Associate
Responsibilities:
Manage and mentor a team of DevOps engineers, fostering a collaborative and high-performance environment.
Drive cloud initiatives using Microsoft Azure, including deployment, monitoring, and optimizing cloud services.
Lead the adoption and enhancement of Infrastructure as Code (IaC) practices using Terraform for resource provisioning and Ansible for configuration management and automation.
Ensure robust security practices across all infrastructure layers, including regular audits, compliance, and threat mitigation strategies.
Design, implement, and manage Azure cloud infrastructure, optimizing for scalability, cost-efficiency, and security.
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Founding Engineer
Paradigm is a spreadsheet-based interface that empowers users to gather, structure, and take action on data with human-level precision, leveraging AI agents.
Benefits:
generous equity grants
health insurance
401k matching
provided meals
team offsites
Experience Requirements:
Experience building production application layer AI products
Experience with any of GoLang, TypeScript, NextJS, Redis, RAG systems, and agent architectures is a plus
Other Requirements:
Willingness to work in-person in San Francisco
Ability to work in fast-paced and ambiguous environments
Insatiably curious and learns quickly
History of superlative achievement
Responsibilities:
Build in a full stack capacity
Talk to users, track metrics, and iterate quickly
Scope out and implement core features
Shape product vision and roadmap
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