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senior data engineer Jobs in San Francisco

senior data engineer

ai application engineer Jobs in San Francisco

ai application engineer

ai engineer

etl developer

ACR Technology Inc

<p>Job Description: Data Engineer Eligibility:<br/>Only U.S. Citizen or Green Card<br/>Responsibilities<br/>Design, build, and maintain scalable ETL pipelines, data workflows, and data warehousing solutions for analytics and reporting. Develop and optimize data modeling solutions, databases, and large-scale datasets using platforms such as Google BigQuery, Hive, and cloud-native technologies. Write and optimize complex SQL queries and implement Python, Spark, and Scala-based data transformations. Build and maintain batch and streaming data pipelines using Spark, PySpark, Scala, and messaging systems such as Kafka. Orchestrate workflows and automate data processes using Apache Airflow. Integrate data from multiple sources, including third-party systems via REST APIs, ensuring data quality, consistency, governance, and compliance. Collaborate with product, engineering, and business teams to translate requirements into scalable technical solutions. Test, deploy, monitor, and support data solutions across cloud environments (AWS, Azure, or GCP). Document processes, contribute to continuous improvement initiatives, and provide technical guidance to users and cross-functional teams.</p><p>Qualifications<br/>5+ years of experience in data engineering, analytics, or related fields. Advanced proficiency in SQL and strong programming skills in Python and/or Scala. Hands-on experience with ETL processes, data modeling, and data warehousing concepts. Experience working with cloud data platforms such as Google BigQuery, AWS, or Azure. Strong experience with Spark (PySpark/Scala) and big data technologies such as Hive and Kafka. Experience building and managing workflows using Apache Airflow. Experience integrating systems using REST APIs. Knowledge of data governance, data quality, and compliance best practices. Bachelor&rsquo;s degree in Computer Science, Engineering, or equivalent experience.</p><p>Pay: $60.00 - $70.00 per hour</p><p>Work Location: In person</p>

Data Engineer (Only local to California, W2, GC and USC )

Data Engineer, Product Analytics

Qcells

<div><p><b>Description</b>
</p><h3 class="jobSectionHeader"><b>POSITION DESCRIPTION:</b></h3><p>
We are seeking a <b>Lead Data Engineer</b> to architect, build, and lead the development of scalable, cloud-based data platforms that support enterprise analytics, operational reporting, and advanced data use cases. This role provides technical leadership in designing and optimizing ETL/ELT frameworks using Azure data services (Fabric, Data Lake, Data Factory), integrating data from ERP, CRM, and operational systems, and establishing robust data models within a modern lakehouse architecture.</p><p>
The ideal candidate brings deep SQL and Python expertise, extensive experience with distributed data platforms, and strong knowledge of data architecture, governance, and performance optimization. This individual will serve as a technical leader and mentor, partnering closely with architects, analysts, application teams, and business stakeholders to deliver reliable, scalable, and well-governed enterprise data solutions.</p><h3 class="jobSectionHeader"><b>
RESPONSIBILITIES</b></h3><ul><li>
Lead the design, development, and optimization of scalable data pipelines supporting ingestion, transformation, and enterprise-wide data consumption.</li><li>
Architect and implement enterprise-grade ETL/ELT frameworks using Azure Fabric or comparable cloud data platforms.</li><li>
Oversee and optimize data integrations from ERP (NetSuite/SAP), CRM (Salesforce), internal systems, APIs, and third-party data sources.</li><li>
Design and govern high-quality, scalable data models supporting analytics, reporting, operational systems, and advanced use cases.</li><li>
Partner with Data Architects to define and implement lakehouse patterns, Delta Lake strategies, medallion architecture, and domain-driven design principles.</li><li>
Establish and enforce data quality frameworks, validation standards, lineage tracking, and observability practices.</li><li>
Drive performance optimization, scalability, reliability, and cost governance across cloud environments.</li><li>
Provide technical leadership and mentorship to data engineers; conduct design reviews and enforce engineering best practices.</li><li>
Collaborate cross-functionally with analysts, application teams, and business stakeholders to translate requirements into scalable data solutions.</li><li>
Lead MDM, metadata management, governance, and data standardization initiatives.</li><li>
Oversee CI/CD automation, DevOps integration, testing frameworks, and monitoring strategies for data workflows.</li><li>
Evaluate emerging technologies and recommend platform improvements aligned with enterprise strategy.</li></ul><h3 class="jobSectionHeader"><b>
MINIMUM QUALIFICATIONS</b></h3><ul><li>
10+ years of experience in data engineering, data architecture, or related roles.</li><li>
Proven experience leading large-scale data platform initiatives in cloud environments.</li><li>
Extensive hands-on experience with Azure data services (Data Lake, Data Factory, Fabric, Synapse, or similar).</li><li>
Advanced proficiency in SQL and Python; experience with Spark or distributed processing frameworks.</li><li>
Deep experience designing and implementing enterprise ETL/ELT frameworks.</li><li>
Strong expertise in data modeling (dimensional modeling, star schema, lakehouse/Delta modeling).</li><li>
Experience integrating complex enterprise systems (ERP, CRM, operational platforms).</li><li>
Strong understanding of data governance, metadata management, MDM, and data quality frameworks.</li><li>
Experience with performance tuning, workload optimization, and cloud cost management.</li><li>
Demonstrated ability to lead technical teams, conduct architecture reviews, and mentor engineers.</li><li>
Strong problem-solving, debugging, and system design skills.</li><li>
Travel may be required up to 5%, depending on business needs.</li></ul><h3 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h3><ul><li>
Experience with Delta Tables, Snowflake, Synapse, or comparable cloud data platforms.</li><li>
Experience with event-driven and streaming architectures (Kafka, Event Hub, streaming pipelines).</li><li>
Familiarity with finance, operations, energy, or ERP-driven data domains.</li><li>
Experience designing API-based data integrations and modern integration patterns.</li><li>
Azure certifications (Data Engineer Associate, Solutions Architect, or equivalent).</li><li>
Experience enabling analytics teams, data science workflows, or ML pipelines.</li><li>
Experience implementing enterprise data security and compliance frameworks.</li></ul><br>
Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world&acute;s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology &amp; Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.<br>
<br>
<div><div><div><br>
<b>PHYSICAL, MENTAL &amp; ENVIRONMENTAL DEMANDS:</b><br>
To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements <i>normally expected</i> to perform <i>regular</i> job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.</div></div><div><div><div><div><b><br>
Mobility</b></div></div><br>
<div><div><br>
Standing</div><div><br>
20% of time</div></div><br>
<div><div><br>
Sitting</div><div><br>
70% of time</div></div><br>
<div><div><br>
Walking</div><div><br>
10% of time</div></div><br>
<div><div><br>
<b>
Strength</b></div></div><br>
<div><div><br>
Pulling</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Pushing</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Carrying</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
Lifting</div><div><br>
up to 10 Pounds</div></div><br>
<div><div><br>
<b>
Dexterity</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Typing</div><div><br>
F</div></div><br>
<div><div><br>
Handling</div><div><br>
F</div></div><br>
<div><div><br>
Reaching</div><div><br>
F</div></div></div><div><div><div><b><br>
Agility</b> <b>(F = Frequently, O = Occasionally, N = Never)</b></div></div><br>
<div><div><br>
Turning</div><div><br>
F</div></div><br>
<div><div><br>
Twisting</div><div><br>
F</div></div><br>
<div><div><br>
Bending</div><div><br>
O</div></div><br>
<div><div><br>
Crouching</div><div><br>
O</div></div><br>
<div><div><br>
Balancing</div><div><br>
N</div></div><br>
<div><div><br>
Climbing</div><div><br>
N</div></div><br>
<div><div><br>
Crawling</div><div><br>
N</div></div><br>
<div><div><br>
Kneeling</div><div><br>
N</div></div></div></div></div><div></div><p><br>
The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job&rsquo;s minimum qualifications.</p>
<ul><li>This target salary range is for CA positions only and should not be interpreted as an offer of compensation.</li></ul>
You may view your privacy rights by reviewing Qcells' Privacy Policy or by contacting our HR team for a copy.</div>

Lead Data Engineer

Baselayer

<div>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   About Baselayer
   <br/>
  </strong>
  Trusted by 2,200+ financial institutions, Baselayer is the intelligent business identity platform that helps verify any business, automate KYB, and monitor real-time risk. Baselayer&rsquo;s B2B risk solutions and identity graph network leverage state and federal government filings and proprietary data sources to prevent fraud, accelerate onboarding, and lower credit losses.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   About the Role
   <br/>
  </strong>
  We are looking for a Data Engineer to build and scale Baselayer&rsquo;s data infrastructure. You will own the pipelines and data systems that power analytics, reporting, and machine learning across the company, with a focus on reliability, performance, and data quality.
 </p>
 <p>
  This role is hands-on and highly cross-functional. You will work closely with Product and Engineering to ensure data is accessible, trusted, and delivered in a way that supports product capabilities in a regulated environment.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Design, build, and maintain scalable data pipelines that ingest, clean, validate, and transform data from internal systems and external sources
   </p>
  </li>
  <li>
   <p>
    Own data reliability and quality through monitoring, alerting, lineage, and validation frameworks
   </p>
  </li>
  <li>
   <p>
    Build and maintain data models and curated datasets that support analytics, dashboards, customer reporting, and downstream ML use cases
   </p>
  </li>
  <li>
   <p>
    Partner with Engineering to define best practices for data architecture, storage, access controls, and performance
   </p>
  </li>
  <li>
   <p>
    Implement orchestration and scheduling for batch and near-real-time workflows as needed
   </p>
  </li>
  <li>
   <p>
    Optimize pipeline performance, cost, and scalability as data volumes grow
   </p>
  </li>
  <li>
   <p>
    Develop and maintain documentation and runbooks for pipelines, datasets, and operational procedures
   </p>
  </li>
  <li>
   <p>
    Identify data gaps and instrumentation needs, and work with engineering teams to improve event capture and logging
   </p>
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   About You
   <br/>
  </strong>
  You want to learn fast, take ownership, and do work that matters. You are not just doing this for the win. You are doing it because you have something to prove and want to be great.
 </p>
 <p>
  You thrive in the details, care about correctness, and take pride in building robust systems that other teams can rely on. You operate with urgency, handle ambiguity well, and consistently raise the bar on data quality and reliability.
 </p>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Required Experience and Skills
  </strong>
 </p>
 <ul>
  <li>
   <p>
    1 to 3 years of experience in data engineering, analytics engineering, or backend engineering with significant data pipeline ownership
   </p>
  </li>
  <li>
   <p>
    Strong Python skills and experience building production-grade data workflows
   </p>
  </li>
  <li>
   <p>
    Strong SQL skills with experience designing data models and transforming large datasets
   </p>
  </li>
  <li>
   <p>
    Experience building and maintaining ETL or ELT pipelines and working with data warehouses or analytics databases
   </p>
  </li>
  <li>
   <p>
    Familiarity with orchestration tools and workflow scheduling (for example Airflow, Dagster, Prefect, or similar)
   </p>
  </li>
  <li>
   <p>
    Strong understanding of data quality, testing, observability, and operational best practices
   </p>
  </li>
  <li>
   <p>
    Comfort working with large-scale datasets and troubleshooting performance issues
   </p>
  </li>
  <li>
   <p>
    Ability to communicate clearly with technical and non-technical stakeholders
   </p>
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   What Sets You Apart
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Experience working with identity, fraud, risk, compliance, or other regulated datasets
   </p>
  </li>
  <li>
   <p>
    Experience integrating with external data sources, APIs, and government or registry data
   </p>
  </li>
  <li>
   <p>
    Familiarity with streaming or near-real-time data patterns
   </p>
  </li>
  <li>
   <p>
    Highly feedback-oriented with a desire for continuous improvement
   </p>
  </li>
 </ul>
 <p>
  &nbsp;
 </p>
 <p>
  <strong>
   Work Location
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Hybrid in SF, in office 3 days per week
   </p>
  </li>
 </ul>
 <p>
  <strong>
   Compensation and Benefits
  </strong>
 </p>
 <ul>
  <li>
   <p>
    Salary range of $122,000 to $167,000
   </p>
  </li>
  <li>
   <p>
    Equity package
   </p>
  </li>
  <li>
   <p>
    Unlimited vacation
   </p>
  </li>
  <li>
   <p>
    Comprehensive health coverage
   </p>
  </li>
  <li>
   <p>
    401(k) with company match
   </p>
  </li>
 </ul>
</div>


Data Engineer

Afresh

<div><div><p>Afresh is the leading AI company in fresh food&mdash;partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide.</p>
<p>
Following record-breaking 70% growth in 2025, we've expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying.</p>
<p>
We're on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us.</p></div><p><b>
About the Role</b></p>
<p>
As a Senior Data Engineer, you'll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. You'll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution.</p>
<p><b>
What You'll Do</b></p>
<ul>
<li>Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data.</li>
<li>Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use.</li>
<li>Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs.</li>
<li>Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features.</li>
<li>Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations.</li>
<li>Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need.</li>
<li>Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback.</li>
</ul>
<p><b>What Makes You a Great Fit</b></p>
<p>
We encourage all highly-qualified candidates to apply, even if they don't meet every listed qualification.</p>
<ul>
<li>Significant experience designing and maintaining ETLs that process large-scale datasets.</li>
<li>Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT.</li>
<li>Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions.</li>
<li>A focus on practical outcomes&mdash;you're skilled at balancing technical rigor with the need to get things done.</li>
<li>Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them.</li>
<li>A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort.</li>
<li>Excellent communication skills&mdash;you're able to explain your ideas clearly to both technical and non-technical audiences.</li>
<li>Proven leadership in technical projects, with a willingness to mentor and help others grow.</li>
</ul>
<p><b>Why Work Here</b></p>
<ul>
<li>Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year.</li>
<li>Work on challenging, real-world problems that have a direct impact on our customers.</li>
<li>Be part of a collaborative, supportive team where your ideas are valued and acted on.</li>
<li>Use cutting-edge tools and platforms to solve meaningful data challenges.</li>
</ul>
<p>We're looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we'd love to hear from you!</p>
<p><b>
This position is not eligible for employer sponsorship.</b></p>
<p>
Salary Range in U.S.: $156,000 - $211,000</p>
<p>
Salary Range in Canada (CAD): $137,000 - $185,000</p><p></p><div><p><b><br>
About Afresh</b><br>
<br>
Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices.
<br>
<br>
Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors.</p>
<p>
Fresh is the past, present, and future of our food system &ndash; the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company's values of proactivity, kindness, candor, and humility.<br>
<br>
<b>Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law.</b></p>
<p><b>
Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI</b>.</p></div></div>

Senior Data Engineer

GoodLeap

<div><div>About GoodLeap:</div><div>
GoodLeap is a technology company delivering best-in-class financing and software products for sustainable solutions, from solar panels and batteries to energy-efficient HVAC, heat pumps, roofing, windows, and more. Over 1 million homeowners have benefited from our simple, fast, and frictionless technology that makes the adoption of these products more affordable, accessible, and easier to understand. Thousands of professionals deploying home efficiency and solar solutions rely on GoodLeap&rsquo;s proprietary, AI-powered applications and developer tools to drive more transparent customer communication, deeper business intelligence, and streamlined payment and operations. Our platform has led to more than $30 billion in financing for sustainable solutions since 2018.</div><div>
</div><div>
GoodLeap is also proud to support our award-winning nonprofit, GivePower, which is building and deploying life-saving water and clean electricity systems, changing the lives of more than 1.6 million people across Africa, Asia, and South America.</div><div></div><h3 class="jobSectionHeader"><b><br>
Position Summary</b></h3>
<div>We are seeking a Staff Analytics Engineer with skills in pipeline development and data modeling to support data enablement and operational reporting for our Corporate teams, including legal, compliance, and accounting. Our ideal candidate has a strong foundation in pipeline development, data modeling, and integration with third-party data tools, and a proven track record of working with business teams to understand and enable their data needs. In this role, you will work closely with business stakeholders and other members of the Analytics team to structure data for easy access and analysis and to maintain and expand on data reports used by Corporate teams. As Corporate teams use data generated in all parts of the business, you will have the opportunity to work closely with other members of the Analytics team to learn about a range of datasets and determine how best to surface them to Corporate teams, and to contribute to foundational projects to empower analysts and business users across the company with more and easier access to data.</div>
<h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul>
<li>Engage with stakeholders and business teams to understand priorities and identify opportunities to advance their analytics solutions</li>
<li>Provide support to stakeholders by triaging requests, investigating data issues, and building tools and processes to support data needs.</li>
<li>Develop datasets and dashboards within an agile framework.</li>
<li>Share new data tools with non-technical stakeholders and educate end users on how best to access the data they need.</li>
<li>Assist business users in identifying and deploying the right tool for each use case, including performing new tool and technology evaluations.</li>
<li>Work with other members of the Analytics team to define, implement, and test new data sources and pipelines and ensure that new reports are built on consistent, reliable, and maintainable data foundations.</li>
<li>Provide input to Data Engineering on requirements and enhancements to existing data ingestions, pipelines, and platforms.</li>
</ul><h3 class="jobSectionHeader"><b>Requirements</b></h3><ul>
<li>BS in Computer Science, DS, or related technical degree or equivalent work experience</li>
<li>6-10 years' experience as an Analytics Engineer, BI Analyst, Data Analyst, or similar role</li>
<li>5+ years' hands-on SQL experience in a work environment</li>
<li>Experience with data management, documenting process and data flows, and ensuring data quality</li>
<li>Experience with ETL processes, software development, and lifecycle awareness</li>
<li>Strong communication skills, including the ability to clearly describe technical work to non-technical stakeholders</li>
<li>Demonstrated ability to quickly learn new technologies and think critically about their strengths and weaknesses</li>
<li>Analytical mindset and willingness to identify and question assumptions</li>
</ul><div>In addition to the above salary, this role may be eligible for a bonus and equity.</div><div><b>
Additional Information Regarding Job Duties and Job Descriptions:</b></div><div></div><div><br>
Job duties include additional responsibilities as assigned by one's supervisor or other managers related to the position/department. This job description is meant to describe the general nature and level of work being performed; it is not intended to be construed as an exhaustive list of all responsibilities, duties and other skills required for the position. The Company reserves the right at any time with or without notice to alter or change job responsibilities, reassign or transfer job position or assign additional job responsibilities, subject to applicable law. The Company shall provide reasonable accommodations of known disabilities to enable a qualified applicant or employee to apply for employment, perform the essential functions of the job, or enjoy the benefits and privileges of employment as required by the law.</div><div></div><div><b><br>
If you are an extraordinary professional who thrives in a collaborative work culture and values a rewarding career, then we want to work with you! Apply today!</b></div><div></div><div><br>
We are committed to protecting your privacy. To learn more about how we collect, use, and safeguard your personal information during the application process, please review our <b>Employment Privacy Policy</b> and <b>Recruiting Policy on AI</b>.</div>
<p>
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.</p></div>

Staff Analytics Engineer, Corporate

Aikido Security

<div><p><b>Location: San Francisco</b></p><p></p><p><b>
 We&rsquo;re making security suck less for developers.</b></p><p>
Security tools haven&rsquo;t kept up with how software is built today. They interrupt teams, slow releases, and turn security into a bottleneck instead of a capability. We built Aikido to change that. Aikido builds developer-first security products that reduce real risk without getting in the way of shipping software. We focus on what actually matters and automate the rest.</p><p>
We&rsquo;re taking on legacy security tools teams have been stuck with, and we&rsquo;re winning. If you want to help us take market share and build products developers actually enjoy using, you&rsquo;re in the right place.</p><p><br>
Founded in 2022 by third-time founders, Aikido has $85M in the bank, a long runway ahead, and unicorn status. We&rsquo;re building toward self-securing software. Join an all-star team. Take real ownership. Push boundaries. Build things that matter.</p><p></p><p>
We&rsquo;re looking for a Growth Marketing Manager to help accelerate Aikido&rsquo;s presence in North America. This role is focused on pipeline generation, brand visibility, and experimentation across growth channels. You&rsquo;ll work closely with marketing, sales, and partnerships to find creative ways to get Aikido in front of developers and security teams.
</p><p></p><p>Think influencer partnerships, unconventional campaigns, events, and out-of-home marketing, anything that drives awareness and pipeline.</p><p></p><p>
This is a high-impact role where you&rsquo;ll help shape Aikido's growth in the US market.</p><p></p><h3 class="jobSectionHeader"><b>
Responsibilities</b></h3><ul><li>
Design and execute growth campaigns focused on pipeline creation in North America
</li><li>Build partnerships with developer influencers, creators, and security communities
</li><li>Launch creative campaigns across social, developer communities, and emerging channels
</li><li>Run experiments across growth channels to identify what drives awareness and demand
</li><li>Work with sales to translate marketing activity into qualified pipeline
</li><li>Support campaigns around events, conferences, and community activations
</li><li>Develop out-of-home and unconventional marketing initiatives
</li><li>Analyze campaign performance and double down on what works
</li><li>Help scale marketing programs as Aikido continues to grow in the US</li></ul><ul><li>
4+ years in growth marketing, demand generation, or performance marketing
</li><li>Experience building campaigns that drive pipeline or measurable growth
</li><li>Strong understanding of developer audiences or B2B SaaS marketing
</li><li>Experience working with content creators, influencers, or developer communities
</li><li>Comfortable running experiments and testing new channels
</li><li>Data-driven mindset with strong ownership
</li><li>Experience in cybersecurity, developer tools, or DevOps is a strong plus</li></ul><p></p><h3 class="jobSectionHeader"><b>
What you can expect</b></h3><ul><li>
High-impact position in a fast-growing company.</li><li>
Fast growth of responsibility.</li><li>
Competitive salary package.</li><li>
A company that sticks to its values in an open and informal atmosphere (see our culture page on the website for more details).</li><li>
Flexibility in working hours.</li><li>
You will be recruited based on competencies. Qualities of people are decisive, regardless of gender, religion, ethnic origin, age, sexual orientation, or disability.</li></ul></div>

Growth Marketing Manager US

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