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Director, Data Science and Machine Learning

San Francisco

$250 - $300

+ Data Science & AI

Permanent
San Francisco, California

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Director/Senior Director, Data Science and Machine Learning

Location: San Francisco

Hybrid (2-3 days in office per week)

Salary: $250-300k base + bonus + equity

A growing digital healthcare technology company seeking a Data Science Leader to join our team. This player-coach role combines technical execution with strategic leadership, guiding high-impact AI and machine learning projects while mentoring a team of data scientists and data engineers.

You’ll work closely with Product Development, Customer Experience, and Solution Consulting to deliver actionable business and clinical insights for biotech and pharmaceutical companies.

Key Responsibilities

  • Lead and mentor the Data Science team, ensuring high-quality delivery of advanced analytics and ML solutions.

  • Drive the design of scalable Analytics Data Models and secure, production-level code.

  • Guide research and productionalization of machine learning solutions to enhance the user experience of the platform

  • Oversee Data Engineering functions to integrate structured and unstructured data into the data warehouse, delivering business intelligence reporting
  • Ensure the data and engineering team produces production code at high quality within the architecture, emphasizing insights, compliance, and scalability
  • Collaborate cross-functionally to enhance products and ensure operational excellence.

  • Stay current on emerging technologies to drive innovation.

Who You Are

  • 3+ years managing Data Science or Advanced Analytics teams.

  • 7+ years in advanced biopharma analytics for Commercial or Market Access.

  • Strong in Python, SQL, ML methodologies (e.g., regression, NLP, time series).

  • Experienced with data modeling, ETL processes, and Snowflake environments.

  • Effective communicator with strong prioritization and organizational skills.

  • M.S. in Computer Science, Engineering, Data Science, or related field.

If you’re passionate about healthcare innovation and want to drive meaningful impact in a fast-paced environment, we’d love to hear from you.

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Senior Staff Machine Learning Engineer – Recommendation Systems

$600000 - $800000

+ Data Science & AI

Permanent
New York

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Senior Staff Machine Learning Engineer – Recommendation Systems

Location: New York (Hybrid – 4 days onsite)

Compensation: Total package between $600,000 – $800,000

(Base salary: $315,000-$370,000 + Equity + Exceptional Benefits)

THE COMPANY

This hyper-growth, global e-commerce leader is transforming how businesses deliver personalized and relevant experiences at the point of purchase. With a strong focus on cutting-edge AI/ML technologies, this organization is scaling rapidly and looking to expand their world-class engineering team.

THE ROLE

As a Principal Machine Learning Engineer, you’ll play a critical role in shaping the next generation of intelligent decision-making systems. You’ll partner with product and engineering teams to build and productionize ML solutions that drive relevance and performance in real-time, at scale. Key focus areas include smart bidding, lookalike modeling, budget pacing, and personalized recommendations.

Key Responsibilities:

  • Collaborate with cross-functional teams to define, architect, and deploy ML solutions to complex business problems.
  • Design and build production-ready ML models, data processing pipelines, and robust deployment systems.
  • Contribute to scalable codebases, with a strong emphasis on testing (unit, integration, performance).
  • Explore and prototype state-of-the-art models, conducting both offline and online experiments.
  • Share knowledge through tech talks, internal workshops, and mentorship.

YOUR SKILLS & EXPERIENCE

  • PhD or Master’s in Machine Learning or a related field
  • 10+ years of industry experience building end-to-end production ML systems
  • Strong background in AWS, TensorFlow, Feature Store technologies, and orchestration tools (e.g., Kubeflow)
  • Expertise in at least two of the following: Bayesian methods, recommender systems, multi-task learning, meta-learning, CTR or CVR modeling
  • Bonus: Familiarity with architectures such as DCNv2, MMOE, Deep & Wide, or ESMM

BENEFITS

  • Equity in a high-growth business
  • Premium, fully covered health insurance for you and your family
  • 401(k) with 4% dollar-for-dollar match
  • Catered lunch and snacks daily
  • Global travel opportunities
  • Collaborative, inclusive culture with a strong focus on diversity and innovation

HOW TO APPLY

If you’re a senior-level ML engineer looking to make a real-world impact in a high-scale, high-growth environment, apply now to speak with one of our specialist recruiters.

To Apply for this Job Click Here

Lead Product Manager

San Francisco

$190000 - $210000

+ Data Engineering

Permanent
San Francisco, California

To Apply for this Job Click Here

Title: Lead Product Manager

Location: San Carlos, CA – Full-time, On-site

Company Background:

Rapidly growing Series A public safety hardware and software startup. Their mission is to revolutionize public safety through innovative technology solutions that combine cutting-edge hardware with intelligent software systems. This role will report directly to the CTO/Co-founder. This is a high-ownership role that requires someone who can drive product strategy and execution across hardware and software offerings.

Key Responsibilities:

  • Define and execute product roadmap for hardware and software components, ensuring alignment with business objectives
  • Serve as the strategic bridge between engineering and go-to-market teams, driving seamless collaboration across all product initiatives
  • Own the entire product lifecycle from conception through launch and iteration, making critical decisions that shape the company’s future
  • Work closely with engineering teams to bring innovative solutions to market while collaborating with GTM teams to ensure product-market fit
  • Conduct market research and competitive analysis to identify opportunities and inform product strategy
  • Manage product requirements, prioritization, and feature development in a fast-paced startup environment
  • Lead product launches and go-to-market strategies to ensure successful market entry

Requirements:

  • Minimum 6 years of product management or product ownership experience
  • Proven experience at a hardware-focused startup (SaaS-only experience is not sufficient)
  • Public safety or govtech experience strongly preferred
  • Track record of successfully launching and scaling hardware products
  • Experience working directly with engineering teams on complex technical products

Technical Competencies:

  • Strong technical aptitude with ability to understand complex hardware and software systems
  • Experience with product development processes for hardware products
  • Understanding of regulatory requirements and compliance considerations in public safety markets

Leadership & Collaboration:

  • Exceptional cross-functional collaboration skills, particularly with engineering and go-to-market teams
  • Proven ability to drive product strategy and make data-driven decisions
  • Strong ownership mentality with ability to work independently and drive results
  • Experience managing complex stakeholder relationships

Additional Qualifications:

  • Excellent communication and presentation skills
  • Experience with agile development methodologies
  • Ability to thrive in a fast-paced, high-growth startup environment
  • Passion for public safety and making a positive impact on communities

To Apply for this Job Click Here

Forward Deployed Engineer

San Francisco

$120000 - $190000

+ Data Science & AI

Permanent
San Francisco, California

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Title: Forward Deployed Engineer

Location/Schedule:

San Francisco HQ (Strong in-office culture) – 5 days a week onsite

✈️ Frequent travel to client sites (nationwide)

Company/Role Overview:

Our client is helping companies unlock the power of Large Language Models by turning ideas into production-ready AI systems-fast. As an AI Solutions Engineer, you’ll sit at the beating heart of our client relationships, guiding teams from the initial idea to a fully deployed solution. You’ll be a trusted technical partner to account executives and a hands-on builder for our clients, transforming ambiguity into clean, scalable AI deployments.

This is not a behind-the-scenes role. You’ll be in the room where it happens-on discovery calls, in whiteboard sessions, and onsite with clients-helping architect, implement, and explain AI-powered workflows that change the way businesses operate.

If you’re excited by messy problems, love talking to customers, and can wire up APIs with one hand while sketching systems diagrams with the other, this might be your dream job.

Responsibilities:

  • Partner with Sales and Customer Success teams to support the entire customer journey-from presales discovery through full post-sales implementation.
  • Lead technical discovery calls with customers to uncover their pain points and explore AI use cases.
  • Design high-level architecture and integration pathways, then own the implementation from start to finish.
  • Write lightweight code (Python, JS) to connect APIs, automate workflows, and deploy LLM solutions.
  • Translate complex LLM behavior and edge cases into clear, actionable insights for both technical and non-technical audiences.
  • Travel frequently to work onsite with clients and ensure hands-on, successful delivery.
  • Act as a key voice in evolving how we deploy AI-your feedback will shape our platform, playbooks, and product direction.

Qualifications (Must-Have):

  • 3-7 years of experience in solutions engineering, product-minded software engineering, startup founding, or any role where you’ve taken something from zero to production with a customer in the loop.
  • Strong understanding of REST APIs, JSON, and the ability to quickly prototype with Python.
  • Comfort with ambiguity-you know how to make progress without perfect specs or ideal environments.
  • Clear and confident communicator-you can tailor your technical explanations to any audience.
  • Comfortable operating in a fast-paced, early-stage startup-you’re ambitious, gritty, and obsessed with doing great work.

Bonus Points For:

  • Experience deploying or integrating LLMs or other AI/ML systems.
  • Familiarity with enterprise environments and integration constraints (SAML, SOC2, etc).
  • Startup or consultancy background with strong client exposure.
  • Prior technical sales or sales engineering experience.

Benefits:

  • Competitive salary + equity at a high-growth startup
  • Full medical, dental, and vision coverage
  • Frequent travel and client-facing opportunities

All applicants must be fully authorized to work in the U.S. to qualify. Our client is unable to offer sponsorship for this role at this time.

To Apply for this Job Click Here

Director of Data Architecture and Governance

San Antonio

$180000 - $210000

+ Data Management & Governance

Permanent
San Antonio, Texas

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Title: Director of Data Architecture and Governance

Location: San Antonio, TX – Full-time, On-site (Relocation Required)

Company Background:

Our client is a major fast-food company experiencing rapid growth across the United States. They are transforming their data landscape to support data-driven decision making and need a skilled Director of Data Architecture and Governance to build their data foundation from the ground up.

Key Responsibilities:

We are seeking a Director of Data Architecture and Governance on behalf of our client to lead data quality, integrity, and compliance initiatives in a greenfield technical environment.

  • Manage data quality and integrity across all organizational data sources and systems
  • Own and implement comprehensive data governance processes and compliance frameworks
  • Ensure data cleanliness and establish robust data quality monitoring and remediation processes
  • Design and implement scalable data architecture solutions to support business growth
  • Manage small teams of data professionals and provide technical leadership
  • Focus on operations improvements, expanding to cover supply chain and human resources
  • Scale data governance and architecture across the entire organization
  • Collaborate with cross-functional teams to understand data requirements and business needs
  • Establish data standards, policies, and procedures for enterprise-wide adoption
  • Lead compliance efforts to ensure data handling meets regulatory and industry requirements

Requirements

Experience & Background:

  • Minimum 8 years of data architecture and governance experience
  • Proven experience managing small teams of data professionals
  • Experience building data solutions in greenfield environments
  • QSR (Quick Service Restaurant) or restaurant industry experience preferred but not required

Technical Skills:

  • Strong expertise in Azure cloud platforms and services
  • Broad technical knowledge across multiple frameworks and technologies
  • Experience with data quality tools and data governance platforms
  • Proficiency in data modeling, ETL processes, and data warehousing concepts
  • Knowledge of compliance requirements and data privacy regulations

Additional Qualifications:

  • Strong leadership and team management skills
  • Excellent communication and stakeholder management abilities
  • Proven track record of scaling data operations across multiple business functions

To Apply for this Job Click Here

Business Intelligence Manager

San Antonio

$130000 - $150000

+ Advanced Analytics & Marketing Insights

Permanent
San Antonio, Texas

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Title: BI Manager

Location: San Antonio, TX – Full-time, On-site (Relocation Required)

Company Background:

Our client is a major fast-food company experiencing rapid growth across the United States. They are transforming their data landscape to support data-driven decision making and need a skilled BI Manager to lead their analytics capabilities.

Key Responsibilities:

  • Build and maintain dashboards and reports primarily for operations teams
  • Develop a self-service analytics environment
  • Lead BI initiatives
  • Coordinate closely with HR, finance, marketing, and other teams to deliver tailored analytics solutions
  • Establish a self-service analytics environment for business users
  • Identify and track key performance indicators (KPIs) aligned with business objectives
  • Transform complex data into actionable insights and compelling stories for stakeholders
  • Write complex SQL queries and develop Power BI visualizations
  • Partner with IT teams to ensure data quality and accessibility
  • Provide training and support on self-service analytics tools

Requirements

Experience & Background:

  • Minimum 5 years of professional business intelligence experience
  • Proven experience setting up self-service analytics environments
  • Fast-food, restaurant, or retail industry experience is a plus

Technical Skills:

  • Advanced proficiency in SQL for data analysis
  • Strong expertise in Power BI for dashboard development
  • Experience with data warehouse concepts and ETL processes

Additional Qualifications:

  • Excellent communication and storytelling skills with data
  • Strong problem-solving skills and attention to detail
  • Willingness to relocate to San Antonio, TX area

To Apply for this Job Click Here

Chief AI Engineer

New York

$300000 - $350000

+ Data Science & AI

Permanent
New York

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Chief AI Engineer – AdTech

New York, New York – 4 days onsite

$300,000 – $350,000 + bonus + equity

THE COMPANY

Harnham is partnering with a new client that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

RESPONSIBILITIES

  • Work closely with product managers and engineers to align on business goals, define machine learning challenges, and design effective ML solutions.

  • Develop and deploy machine learning models, including building data pipelines, orchestrating ML workflows, and optimizing system performance and reliability.

  • Maintain a robust codebase by writing well-tested code, covering both functional and non-functional aspects such as unit, integration, and load testing.

  • Stay informed on industry trends and advancements in deep learning, experiment with new model concepts, and run both offline and online evaluations.

  • Actively share knowledge through internal presentations, tech talks, and by promoting best practices in engineering and technology use.

SKILLS AND EXPERIENCE

  • Advanced degree (Master’s or PhD) in Computer Science, Machine Learning or a related field.

  • Over 10 years of hands-on experience developing and deploying production-ready machine learning systems, covering the full model lifecycle-training, tuning, deployment, serving, and monitoring.

  • Advertising experinece with real-time bidding, auction models, dynamic pricing, recommendation engines, multi-armed bandits and causal inference techniques preferred.
  • Expertise in cloud infrastructure (especially AWS), machine learning orchestration tools like Kubeflow, TensorFlow, and the use of Feature Stores in live environments.

  • Experience scaling out MLE teams as tech lead or manager preferred.

  • Commercial experience combination of big tech and scaling startups a plus.

BENEFITS

The compensation package contains a base salary, a bonus, and a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV via the Apply link on this page.

KEY TERMS

Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time Bidding | Auction | Statistics | Mathematics | AdTech | Advertising | Python | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience

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Frontend Engineer (React)

$60000 - $80000

+ Data Engineering

Permanent
USA

To Apply for this Job Click Here

About the Company
Our client is on a mission to make high-quality math education accessible to every student, no matter where they live. Our platform blends handwriting, speech, and text with cutting-edge AI to create personalized, interactive learning experiences.

The Role
We’re looking for a React Developer who thrives on creating playful, modern interfaces that engage K-12 learners. You’ll help build features that feel alive and intuitive, with delightful animations and clean design. You’ll work closely with designers, founders, and AI engineers to create an experience students love.

This is a unique opportunity to shape the front-end of a global edtech product from the ground up. You must be comfortable working within a start up environment, on a small team.

Responsibilities:

  • Own and build new features for student and parent dashboards using React, Tailwind, and Shadcn.

  • Design smooth animations and thoughtful micro-interactions.

  • Collaborate across design, AI, and backend teams to create multimodal (handwriting, speech, text) experiences.

  • Write clean, maintainable code with strong state management.

  • Contribute to the component library and advocate for front-end best practices.

  • Continuously improve UX and suggest new ideas to enhance engagement.

Experience required:

  • 2+ years of experience building production-grade React apps.

  • Must have experience with component-based architecture and state management (Redux, Zustand, Jotai, etc.).

  • Must have experience with handling side effects and asynchronous operations (e.g., with useEffect, useSWR, React Query)

  • Experience with Tailwind CSS and/or Shadcn UI (or similar libraries).

  • Must be able to code in JavaScript/Typescript without assistance
  • Self-motivated, collaborative, and comfortable in a fast-paced startup environment.

Bonus Points If You Have

  • Experience in K-12, edtech, or accessibility-focused applications.

  • Familiarity with animation libraries (Framer Motion, Lottie, etc.).

  • Exposure to audio/image/speech integrations or AI-based products.

  • Backend familiarity with Python/Django or working with AI services.

Note: This candidate must be authorized to work in the U.S. We cannot provide sponsorship for this role now or in the future. We will not accept C2C applicants and are not looking to partner with outside vendors.

Name:

To Apply for this Job Click Here

Lead Product Manager

San Carlos

$180000 - $210000

+ Advanced Analytics & Marketing Insights

Permanent
San Carlos, California

To Apply for this Job Click Here

This is the first product hire and will report directly to the founder. It’s designed for someone who wants to drive product direction end-to-end – not just manage a roadmap. You’ll own the “what” and the “why,” work closely with engineering to deliver, and partner with go-to-market to ensure the product reaches users successfully.


The Role

This is the first product hire and will report directly to the founder. It’s designed for someone who wants to drive product direction end-to-end – not just manage a roadmap. You’ll own the “what” and the “why,” work closely with engineering to deliver, and partner with go-to-market to ensure the product reaches users successfully.

Initially scoped as an individual contributor role, but with a clear path to grow into a leadership position.
What They're Looking For
  • Execution-Oriented PM with a track record of shipping high-impact work at high-growth companies - someone who's done more than hold a title.
  • Structured Thinker who can break down ambiguous problems and help engineering make sound, fast decisions.
  • Technically Conversant - you don't need to write code, but you should be able to engage deeply with engineers and understand trade-offs.
  • Strong Communicator who can prioritize, align stakeholders, and operate cross-functionally with clarity.
Preferred Background
Experience at an early or mid-stage company in AI, hardware, or IoT - especially during a time of meaningful growth. Candidates from companies like Flock Safety, Samsara, Verkada, or Axon tend to align well. Impact and contribution matter more than brand names.
Team Structure
  • Reports to Founder (currently the acting PM)
  • Small engineering team spanning AI, hardware, and full-stack
  • Highly collaborative, technical environment
Benefits
  • Unlimited PTO
  • Strong healthcare coverage
  • No 401k at this stage

To Apply for this Job Click Here

Head of Data & Analytics

New York

$270000 - $300000

+ Advanced Analytics & Marketing Insights

Permanent
New York

To Apply for this Job Click Here

Head of Data & Analytics
New York City (Hybrid)
Education
Salary: $270,000 – $300,000 + Bonus

Harnham is currently supporting a high-growth organization in the education sector as they look to appoint a Head of Data & Analytics. This is a senior leadership role within a well-established and innovative technology division, responsible for enabling data-driven decision-making across the enterprise.

Overview

The organization is undergoing a significant digital transformation and views data as a key strategic asset. The Head of Data & Analytics will lead a multifunctional team and oversee enterprise data architecture, reporting, advanced analytics, and data science. This individual will play a critical role in ensuring accurate, timely, and actionable insights are available to inform decisions at all levels of the business.

Key Responsibilities

  • Build strong relationships with stakeholders across the business to understand and serve their data needs
  • Lead and develop the enterprise data and analytics function, maintaining high standards for data quality, delivery, and insight
  • Oversee data engineering and analytics processes, ensuring scalability and efficiency through automation and standardization
  • Present complex data findings in a clear and actionable manner to senior leadership and non-technical audiences
  • Develop and drive the strategic roadmap for analytics and AI adoption across the organization
  • Collaborate with technology teams to optimize data flow and system integration
  • Ensure best practices in data governance, visualization, and statistical modeling

Required Experience

  • Strong track record of managing large-scale data teams encompassing data engineering, visualization, and data science
  • Advanced proficiency in statistical modeling, predictive analytics, machine learning, and time-series analysis
  • Hands-on experience with tools such as Python, Java, SQL, and cloud platforms like AWS or Azure
  • Deep knowledge of BI platforms such as Looker, Power BI, or Qlik
  • Exceptional communication and stakeholder management skills, with the ability to influence executive leadership
  • Experience with agile methodologies and working in fast-paced, resource-constrained environments
  • Prior exposure to education, EdTech, or public sector organizations is beneficial but not required

Why Apply?

This is a rare opportunity to lead a high-performing data team at a values-driven organization making a measurable impact in the education space. The successful candidate will play a pivotal role in shaping enterprise data strategy and enabling innovation through analytics.

To learn more or express interest in this role, please contact Oisin Ennis at Harnham for a confidential discussion.

To Apply for this Job Click Here

Lead AI Engineer – Chatbot

New York

$200000 - $220000

+ Data Science & AI

Permanent
New York

To Apply for this Job Click Here

Lead AI Engineer – Financial Services | $200,000-220,000 + Bonus + Benefits
Location: New York, NY (REMOTE)
Industry: Financial Services

Harnham is proud to partner with a dynamic and fast-growing financial services firm which works directly with people to help along their financial journey. They are looking to hire their first Lead AI Engineer, someone passionate about building innovative machine learning solutions and driving thoughtful AI & LLM initiatives at an enterprise level.

This is a unique opportunity to take a hands-on leadership role, building machine learning and LLM capabilities, while shaping a team and strategy that supports long-term innovation and responsible AI use.


THE ROLE

As Lead AI Engineer, you will:

  • Partner closely with engineering and business teams to design and deliver machine learning solutions that address complex challenges.

  • Build and deploy ML and LLM models that support key initiatives in chatbot, voicebot and customer support center agents.

  • Lead development of NLP applications such as text classification, summarization, and information extraction to support customer engagement and insights.

  • Help define meaningful performance metrics (KPIs) for AI solutions and foster an environment of transparency and learning.

  • Contribute to a culture of innovation by mentoring others, sharing knowledge, and laying the groundwork for a growing AI team.


YOUR SKILLS & EXPERIENCE

We’re looking for someone with:

  • 5+ years of experience in applied data science, machine learning, or related AI fields. 2+ most recent years using LLM / RAG technologies.

  • A degree in a STEM or quantitative field such as Computer Science, Engineering, Mathematics, or Statistics.

  • A strong track record of translating technical work into business value, particularly with cross-functional or non-technical stakeholders.

  • Experience leading projects end-to-end, with mentorship or team-building experience.

  • Proficiency in Python and familiarity with LLM tools like LangChain, Hugging Face, Llama.

  • Exposure to cloud platforms (AWS preferred, but not required) and data visualization tools.

  • Comfort and familiarity working in fast-paced environments like hyper-growth startups is a plus.


THE BENEFITS

  • Competitive salary range of $200,000-220,000

  • Performance-based bonus

  • Comprehensive health and wellness benefits

  • Better than market average retirement match
  • Opportunity to build a strategic AI function from the ground up in a highly respected firm

  • Supportive, forward-thinking leadership team invested in responsible innovation


HOW TO APPLY

If you’re excited about building impactful AI solutions and leading with curiosity, care, and purpose, we’d love to hear from you.

Please submit your résumé to Tim Jonas using the “Apply” link on this page.


Keywords:
AI Engineering | Machine Learning | NLP | LLM | Large Language Models | Financial Services | Responsible AI | Python | Cloud | Data Science | Llama | Leadership | Agents | Cross-functional Collaboration | Team Management | LangChain | Hugging Face | Chatbots | Voicebots

To Apply for this Job Click Here

AI Deployment Engineer

San Francisco

$120000 - $160000

+ Data Science & AI

Permanent
San Francisco, California

To Apply for this Job Click Here

WHAT YOU’LL DO

  • Own customer deployments end-to-end: scoping, onboarding, integration, and support
  • Deploy low-code solutions using APIs, webhooks, and integration tools like Postman
  • Handle a demanding volume of customer interactions and configuration work
  • Manage technical relationships with enterprise clients and internal engineering teams
  • Translate customer needs into clear internal requests and product suggestions
  • Operate in an environment of constant change and high urgency

WHAT THEY’RE LOOKING FOR

  • 3-7+ years of experience in high-growth startups or similarly fast-paced environments
  • Strong stakeholder and customer management skills
  • Hands-on experience deploying software products (or the technical chops to ramp up fast)
  • Familiarity with API tools and webhook integrations
  • Background in engineering, solutions, or technical product roles
  • Excellent communication and execution skills under pressure

SOFTWARE ENGINEERING | AMBITION | STAKEHOLDER ENGAGEMENT | API

DETAILS

  • Location: Onsite 5 days/week in San Francisco
  • Compensation: $120,000-$160,000 base salary
  • Urgency: Team is hiring fast – several recent hires and more roles to fill

To Apply for this Job Click Here

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