account associate

controller

driver

parts specialist

agent

Pinkerton

<div>Overview:

170+ Years Strong. Industry Leader. Global Impact. 
At Pinkerton, the mission is to protect our clients. To do this, we provide enterprise risk management services and programs specifically designed for each client. Pinkerton employees are one of our most important assets and critical to the delivery of world-class solutions. Bonded together, we share a commitment to integrity, vigilance, and excellence. 
Pinkerton is an inclusive employer who seeks candidates with diverse backgrounds, experiences, and perspectives to join our family of industry subject matter experts. 
The Agent will perform a variety of assignments including concierge-level, residential, or event security, response services, basic driving, and investigations.
Responsibilities:
<ul><li>Represent Pinkerton&rsquo;s core values of integrity, vigilance, and excellence.</li><li>
Provide the client with concierge-level security at the company location and/or events.</li><li>
Deescalate tense situations or individuals that may arise.</li><li>
Write detailed incident reports following any incident, occurrence, or variance that warrants documentation.</li><li>
Conduct quality investigations and complete investigative reports.</li><li>
Provide response services related to emergency and crisis planning, high risk terminations, workforce disruptions, natural disaster, civil unrest, and threat monitoring.</li><li>
Transport the client to and from company location and/or events.
</li><li>Secure the client&rsquo;s residential perimeter and review CCTV, manage access controls, and respond to alarms, as needed.</li><li>
Identify and escalate equipment deficiencies/failures.</li><li>
All other duties, as assigned.
</li></ul>Qualifications:

High School Diploma or GED with law enforcement, military, and/or security experience. An unarmed BSIS Security License in required. 
<div></div><ul><li>
Concierge-level customer service knowledge.</li><li>
Able to complete thorough and accurate investigations and reports.</li><li>
Access control systems, CCTV, and alarm monitoring experience.</li><li>
Problem resolution skills.</li><li>
Able to interact effectively at all levels and across diverse cultures.</li><li>
Effective verbal and written communication skills.</li><li>
Computer knowledge; Microsoft Office.</li></ul><div>
Working Conditions:</div><div>
With or without reasonable accommodation, requires the physical and mental capacity to effectively perform all essential functions;</div><ul><li>
Regular computer usage.</li><li>
Occasional reaching and lifting of small objects and operating office equipment.</li><li>
Exposure to stressful situations, such as challenging individuals who are in or approaching an unauthorized area.</li><li>
Rapid and effective decision-making during unusual or emergency situations.
</li><li>Frequent sitting, standing and/or walking for long periods of time and may involve climbing stairs and walking up inclines and on uneven terrain.</li><li>
Travel, as required.</li></ul><div>
Pinkerton is an equal opportunity employer to all applicants and positions without regard to race/ethnicity, color, national origin, ancestry, sex/gender, gender identity/expression, sexual orientation, marital/prenatal status, pregnancy/childbirth or related conditions, religion, creed, age, disability, genetic information, veteran status, or any protected status by local, state, federal or country-specific law.</div>
Benefits:
<div>
Benefit options include employer-paid life and AD&amp;D, voluntary life and AD&amp;D, medical, (HSA) Health Savings Account, (FSA) Flexible Savings Account, dental, vision, short-term disability, long-term disability, 401(K), paid time off (vacation, personal, sick, and holidays) and several employee assistance-related programs. This information provides a brief benefit overview. Upon the acceptance of an employment offer, the new employee will receive comprehensive plan details based on specific eligibility rules.</div>
Posted Salary Range: USD $35.00 - USD $35.00 /Hr.</div>

Agent

Ｃollective

<div>About Collective:
Collective is on a mission to redefine the way businesses-of-one work. Our technology and team of trusted advisors help members achieve financial independence by taking care of everything from business incorporation to accounting, bookkeeping, tax services, and access to a thriving community, all in one integrated platform. We believe in empowering self-employed people to enjoy the same tax savings that big companies get, so they can focus on their passion, not paperwork.
Featured in Forbes, Business Insider, Yahoo, Bloomberg, Financial Times, TechCrunch, and more. We are backed by General Catalyst, Sound Ventures (Ashton Kutcher and Guy Oseary), QED Investors, Google&rsquo;s Gradient Ventures, Expa, and other investors who have financed iconic companies like YouTube, Substack, Twitch, Box, Hims, Instacart, and Lyft.
About the role:
Most teams have the data they need but can&rsquo;t access it. This role is here to fix that.
We're hiring a senior engineer to build an internal data agent: a system that lets anyone at the company act as their own data analyst. Individuals can ask questions in plain English and get back correct, decision-ready answers or dashboards.
This is not a traditional data role. You'll operate across AI systems, data infrastructure, and product engineering. You'll be responsible both for building a powerful system and for ensuring the data it relies on is clean, consistent, and reliable.
The problem space is wide open. We&rsquo;re looking for a strategic operator to shape the technical direction, the data model, and system adoption.
What you'll do:<ul><li>
Develop agent infrastructure<ul><li>
Build retrieval, planning, and execution systems on top of real data</li><li>
Support multi-step reasoning and analysis workflows</li><li>
Integrate into internal tools</li></ul></li><li>
 Build an end-to-end analytics system<ul><li>
Create a natural language interface over our entire data stack</li><li>
Enable anyone to run complex analyses without writing SQL</li></ul></li><li>
Own and improve the data layer<ul><li>
Collaborate with product engineering to design and evolve clean, consistent data models</li><li>
Identify inconsistencies in the core schema and resolve them at the source</li></ul></li><li>
Build and maintain data pipelines<ul><li>
Own the reliability of our data infrastructure end-to-end</li><li>
Debug and fix broken systems (e.g. dbt models, pipeline failures)</li><li>
Make it easy to integrate new data sources into the data warehouse</li></ul></li><li>
Make it trustworthy<ul><li>
Ensure outputs are correct, consistent, and explainable</li><li>
Build evaluation loops, monitoring, and guardrails</li><li>
Eliminate ambiguity in metrics, definitions, and sources of truth</li><li>
Handle permissions, sensitive data, and edge cases</li></ul></li><li>
Drive adoption<ul><li>
Work directly with teams across EPD, Member Operations, Legal, and more</li><li>
Drive alignment on data definitions and system usage</li><li>
Turn this into the default way people interact with data</li></ul></li></ul>
What you'll bring:<ul><li>
 You are a product engineer working in data<ul><li>
You treat data models as part of the product, not a separate layer</li><li>
You have strong opinions on schema design, naming, and consistency</li><li>
You're comfortable identifying issues in production data and fixing them at the root</li></ul></li><li>
You are an owner, not a participant<ul><li>
You take vague, high-stakes problems and turn them into real systems</li><li>
You care about outcomes, not just implementation</li></ul></li><li>
You have strong data experience<ul><li>
Experience with data modeling, warehouses, and pipelines</li></ul></li><li>
You're an exceptional builder<ul><li>
You can go from idea architecture production</li><li>
You've built with LLMs, RAG, or agents in production</li><li>
You've shipped systems that people actually rely on</li></ul></li><li>
You have influence<ul><li>
You communicate effectively with both technical and non-technical stakeholders</li><li>
You can drive alignment across teams with competing priorities</li><li>
You're comfortable challenging existing systems and pushing for better approaches</li></ul></li></ul>
What we offer:<ul><li>
Hybrid Work Model: Based in San Francisco with a balance of in-office and remote flexibility.</li><li>
Fresh Lunch: Provided on in-office days.</li><li>
Commuter Support: $150 monthly reimbursement for transit expenses.</li><li>
Health &amp; Wellness: $200 quarterly reimbursement to support your well-being.</li><li>
Time Off: Flexible PTO plus 14 company holidays.</li><li>
Comprehensive Coverage: 100% medical, dental, and vision for employees; 75% coverage for dependents.</li><li>
Parental Leave: 16 weeks fully paid.</li><li>
Retirement &amp; Ownership: 401k plan plus an equity package.</li><li>
Team Connection: Quarterly virtual events and an annual in-person summit.</li></ul>
Compensation Range: $200K - $270K</div>

AI Data Engineer (Agent Platform)

British Airways

<div>Pay Rate: $22.04

Shift: 1PM - 5PM

British Airways
As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain

It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris.

This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues.

So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make.

We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit.

The role: Customer Experience Agent

Are you passionate about delivering world-class customer service? Do you thrive in a dynamic, fast-paced environment? British Airways is seeking outstanding individuals to join our team as Customer Experience Agents at our Worldwide Airports across the United States, Canada, South America, Bermuda &amp; Mexico!

As the face of British Airways, you'll play a crucial role in crafting unforgettable experiences for our passengers, ensuring their journey with us is smooth, enjoyable, and truly reflective of our dedication to perfection.

What You'll Do
<ul>
<li>Greet and offer personalised service to all British Airways and codeshare customers, ensuring a welcoming and seamless experience throughout their airport journey.</li>
<li>Assist passengers with check-in, boarding, connecting and arrival processes.</li>
<li>Address customer queries and concerns efficiently, always aspiring to go above and beyond to provide outstanding service.</li>
<li>Where required, basic ticketing, documentation and baggage handling with the occasional lifting of bags up to 70 lbs.</li>
<li>Operation of the loading bridges and driving of company vehicles assigned to Customer Services is required for anyone holding a valid driver's license</li>
<li>Support our premium customers with tailored, high-end service both at check-in and our award winning business and first class lounges</li>
<li>Facilitate safe, secure, and punctual departures</li>
<li>Collaborate with team members to ensure seamless operations and customer satisfaction</li>
<li>Adapt quickly to changing situations, always maintaining a positive and proactive demeanour</li>
</ul>
What You'll Bring to British Airways
<ul>
<li>A passion for hospitality and an enthusiasm for creating exceptional customer experiences</li>
<li>Strong communication skills and the ability to engage confidently with a diverse range of customers</li>
<li>Maintain composure and adaptability, even in difficult or fast-paced situations.</li>
<li>Flexibility to work shifts covering 24/7 operations,</li>
<li>Pride in your personal appearance and a dedication to upholding British Airways' high standards</li>
<li>Comfortable using various computer systems and applications</li>
<li>A proactive approach to problem-solving and decision-making</li>
<li>Able to work optimally both independently and as part of a team</li>
</ul>
Your Experience
<ul>
<li>Experience in a hospitality or customer service role is desirable</li>
<li>Proficiency in spoken and written English (additional languages are a bonus!)</li>
<li>Aged 18 or over at the time of application, with the unrestricted right to live and work in the specific country of employment. (USA/CANADA/BRAZIL/ARGENTINA/ BERMUDA/MEXICO)</li>
<li>Must be able to obtain Security clearance, which includes cleared drug screen, criminal history and/or fingerprinting</li>
</ul>
British Airways supports a drug and alcohol-free work environment

Safety is paramount in the aviation industry. British Airways is committed to protect the health and safety of its employees and the traveling public by ensuring that colleagues on duty are drug and alcohol free. Therefore, reporting for work or working while impaired by, or under the influence of alcohol, controlled substances, or any other drug (including inhalants) or possession on the work site of these substances or any other lawful drug (including inhalants), by any employee is expressly prohibited.

Join us at British Airways, where your dedication to customer service will help us maintain our position as a leading global airline.

Together, we'll create moments that matter for our customers and build lasting connections around the world!

Ready to elevate your career?
Apply now and become an integral part of the British Airways team!</div>

Customer Experience Agent (Part-Time) San Francisco International Airport

Hex Technologies

SF or NYC
 About the role
 
Hex is an AI-powered platform for modern Data Science and Data Analytics workflows. AI Research Engineers at Hex partner with product teams to build industry-leading AI experiences such as the Notebook Agent. In the process, AI Research Engineers will run experiments, fine-tune models, deploy AI infrastructure, and build and maintain experimentation tooling.
 
As an AI Research Engineer partnered with Hex's product teams, your focus will be driving Hex's context engine and pushing forward the capabilities of our Notebook Agent. Built for people doing the most complex and impactful data work in an organization, the Notebook Agent is a highly technical data copilot that writes SQL and python, builds beautiful reports and visualizations, and collaborates with the analyst on new avenues of inquiry. Whether its pushing the frontiers of SQL generation quality or using LLMs to evaluate agent threads, your job will be to enable the data teams that work in Hex to build out highly accurate and curated data experiences for their stakeholders, unlocking the power of data driven decisions for the rest of the business.
 
If you’re a strong builder excited to bring these capabilities to thousands of users, come do it on the best Data Science platform around, with the best user context.
 
We are looking for a senior engineer (from an AI Eng, SWE or MLE background) eager to rapidly expand our capabilities in several greenfield applications. As one of our team’s early hires, you will work on a variety of initiatives including:
 
Building features and experiences from 0 to 1
 Partnering on determining the architecture and stack for our AI-enabled capabilities
 Shipping product experiences that fundamentally change the way that Data Scientists and Analysts operate
 Working at the cutting edge of production AI applications
 
This type of ownership will provide incredible opportunities for personal and professional growth. You will have ample technical and team leadership opportunities, depending on your interests.
 
We aim to deliver AI capabilities that radically accelerate and augment the data science workflow – we’ve got an exciting roadmap and are willing to share more details during the process. We’re particularly interested in candidates who bring inspired excitement about what is possible in this space.
 
We'd love to hear from you if you have: 
Experience getting AI/ML capabilities into production and serving real users – we’re not currently looking for new grad folks.
 A lot of enthusiasm for applications of AI to real business problems.
 Understanding of core MLOps/SW Architecture concepts for modern ML-based applications.
 Ideal candidates are strong on Infra aspects of MLOps as well.
 You’re comfortable working in both Python & JS/TS – it’s okay if you’re only strong in one, but openness to both is important.
 Experimentalist mindset – understanding that quick iteration, and discerning critical thinking, can yield rapid progress on new challenges.
 Interest in the data space, and a love of shipping great products and building tools that empower end users to do more.
 Experience maintaining a high quality bar for design, correctness, and testing.
 Our stack
 
Our product is a web-based notebook and app authoring platform. Our frontend is built with Typescript and React, using a combination of Apollo GraphQL and Redux for managing application state and data. On the backend, we also use Typescript to power an Express/Apollo GraphQL server that interacts with Postgres, Redis, and Kubernetes to manage our database and Python kernels. Our backend is tightly integrated with our infrastructure and CI/CD, where we use a combination of Terraform, Helm, and AWS to deploy and maintain our stack.
 
This is a full-time role based out of either our San Francisco or New York office. Employees are encouraged to come into the office at least twice a week, with Tuesdays and Thursdays being our main in-person days.
 
In addition to our unique culture, Hex proudly offers a competitive total rewards package, including but not limited to, market-benched salary & equity, comprehensive health benefits, and flexible paid time off.
 
The salary range for this role is: $214,000 - $285,000
 
The salary range shown may be a reflection of additional factors such as geographical location and skill ranges/levels we’re open to. Placement in the salary range will be decided upon completion of the interview process, taking into account factors like leaving room for growth, internal fairness & parity, your demonstrated skills, and the depth of your experience. Our Recruiting team will be able to provide more details during the interview process.
 
By submitting an application the candidate consents to the use of their personal information in accordance with the Hex Privacy policy: https://learn.hex.tech/docs/trust/privacy-policy.
 
About Hex
 
Hex is growing our team of builders on a mission to make everyone a data person. Our platform solves key pain points with today's data and analytics tooling, and empowers anyone to explore data using natural language, with or without code, on trusted context. Thousands of customers like Ramp, Figma, Stubhub, Anthropic, and Gamma love Hex for our beautiful UI, agentic superpowers, and boundless flexibility.
 
Hex has raised over $100M from leading investors like Sequoia, a16z, Snowflake and Amplify. With office hubs in San Francisco and New York, as well as remote team members throughout the US and UK, we're a high-agency team that ships fast and has fun doing it. Check out our Intro to Hex video and employee handbook to learn more about what it's like to work at Hex.

AI Research Engineer

BLAND

<div><h2 class="jobSectionHeader">Machine Learning Researcher, Multimodal LLMs</h2>
Location: San Francisco, CA or Remote (US)<h2 class="jobSectionHeader">
About Bland</h2>
At Bland.com, our mission is to empower enterprises to build AI phone agents at scale. Voice is quickly becoming the primary interface between businesses and their customers, and we are building the models and infrastructure that make those interactions feel natural, reliable, and genuinely human.
We&rsquo;ve raised $65M from leading investors including Emergence Capital, Scale Venture Partners, Y Combinator, and founders of Twilio, Affirm, and ElevenLabs.<h2 class="jobSectionHeader">
The Role</h2>
We are looking for someone to contribute to the development of our next-generation multimodal LLM stack, combining speech, text, tools, and real-time reasoning into a single unified system. You&rsquo;ll be responsible for building industry-leading conversational AI models that power Bland's agent, and taking them all the way from idea to production.
At Bland, we're not just thinking about text modeling. You will define how our agents listen, think, and act in real time, integrating streaming audio, tool execution, and dynamic context into a single coherent system. You will take ideas from research through production systems serving millions of calls per day.<h2 class="jobSectionHeader">
What Makes You a Great Fit</h2>
Strong LLM / Multimodal Background<ul><li>
Experience with LLMs, multimodal models, or speech-language systems</li><li>
Deep understanding of prompting, fine-tuning, and alignment techniques</li><li>
Familiarity with neural audio codecs and modern multimodal LLM techniques</li></ul>
Fast Experimental Loop<ul><li>
You can go from idea dataset experiment conclusion in days</li><li>
You know how to design experiments that actually answer the question</li></ul>
Product Intuition<ul><li>
Strong sense for what makes an interaction feel natural vs robotic</li><li>
Ability to translate abstract modeling ideas into user-facing improvements</li></ul>
Builder Mentality<ul><li>
You take ownership from research through deployment</li><li>
You thrive in ambiguous, fast-moving environments</li><li>
You care about impact, not just elegance</li></ul><h2 class="jobSectionHeader">
How You Show Up</h2><ul><li>
You think in systems, not just models</li><li>
You obsess over latency, correctness, and real-world behavior</li><li>
You are comfortable discarding ideas quickly when data disagrees</li><li>
You push toward simple abstractions for complex problems</li></ul><h2 class="jobSectionHeader">
Bonus Points</h2><ul><li>
Experience with real-time voice systems or conversational AI</li><li>
Background in tool-using agents or agent frameworks</li><li>
Experience with multimodal datasets (audio + text + actions)</li><li>
Contributions to LLM or speech-related research or open source</li></ul><h2 class="jobSectionHeader">
Compensation &amp; Benefits</h2><ul><li>
Competitive salary: $180,000 &ndash; $260,000</li><li>
Meaningful equity</li><li>
Full healthcare, dental, vision</li><li>
Office in Jackson Square, SF</li><li>
High autonomy, high impact</li></ul>
Compensation Range: $140K - $250K</div>

Machine Learning Researcher, Multimodal LLMs

Apple

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Data Services provides Data Solutions across Apple is looking for a creative and motivated AI Engineer with excellent problem solving and interpersonal skills. We are seeking a hands-on AI Solutions Engineer with deep technical expertise in Artificial Intelligence and Generative AI who can design, prototype, and implement scalable, high-impact AI solutions. This role blends system architecture, rapid prototyping, and cross-functional execution to shape the next generation of intelligent products. We would love to hear from you if you're enthusiastic, highly motivated, and want to make an impact! 
 
Description 
 
As a strategic and technical leader, you will partner closely with engineers, product managers, product designers, data scientists, and business stakeholders to identify high-value AI opportunities, translate them into scalable architectures, and ensure successful deployment into production environments. The ideal candidate is a proactive self-starter who excels in cross-functional collaboration to empower our Sales and Sales Finance organizations. In addition to deep technical expertise, this role demands exceptional communication and presentation skills. You&rsquo;ll need to translate complex AI concepts for senior leadership, cross-functional peers, and non-technical partners- ensuring clear alignment, strong collaboration, and high-impact delivery. It&rsquo;s a unique opportunity for someone who thrives in a fast-paced environment and takes full ownership of their work from idea to execution.&quot;,&quot;responsibilities&quot;:&quot;Design end-to-end AI solutions with clear business impact, from concept to deployment, with a strong focus on feasibility, scalability, and performance. 
 
Build prototypes to evaluate architecture and modeling approaches, working closely with engineering teams to transition concepts into robust systems. 
 
Guide architectural decisions across LLM applications, multimodal systems, and agentic frameworks. 
 
Assess and integrate open-source tools, orchestration frameworks, context management solutions, and vector databases. 
 
Collaborate with product and business teams to define KPIs and ensure alignment of AI initiatives with strategic goals. 
 
Stay on top of emerging trends in Generative AI, prompt engineering, and agent-based architectures. 
 
Define and advocate for best practices in model serving, integration patterns, and runtime efficiency-not just training ops. 
 
Preferred Qualifications 
 
Experience leading zero-to-one initiatives for AI product development 
 
Familiarity with synthetic data generation, fine-tuning techniques, and performance optimization for large models 
 
Understanding of agent-based interaction patterns, multi-agent communication protocols (e.g., MCP, A2A), and AG-UI concepts 
 
Prior work in designing user-facing AI features or tools; familiarity with frontend integration is a plus 
 
Excellent communication skills with the ability to translate technical concepts into business terms 
 
Ph.D. in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
Minimum Qualifications 
 
2+ years industry experience with a Master&rsquo;s in Computer Science, AI, or related field, or equivalent industry experience with demonstrated impact in real-world applications 
 
1+ years plus of experience building AI-powered systems with a strong fundamental grasp of architecture and deployment 
 
Experience designing and delivering NLP or LLM-based systems, with knowledge of multi-modal and agentic AI frameworks 
 
Proficiency with Python to use ML libraries (e.g., PyTorch, TensorFlow, Transformers), vector search engines (e.g., FAISS, Weaviate or similar) and vector databases (e.g., Milvus, Vespa, or similar) 
 
Experience developing cloud platforms solutions (e.g., AWS, GCP, or public cloud, etc.) 
 
Hands-on experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex or similar), containerization (Docker, Kubernetes or similar), and scalable APIs 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AI Engineer, AI & Data Platforms (AiDP)

You.com

<div>
 
 About Us
 
 
 
 At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information.
 
 
 Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful.
 
 
 Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.
 
 
 
 About The Role
 
 
 
 We are looking for a hands-on Data Engineer to help build and scale our modern data platform. In this role, you will work closely with engineering, product, and analytics teams to develop reliable, high-performance data pipelines and systems.
 
 
 You'll contribute to both batch and real-time data processing using technologies like Databricks, AWS, and Kafka, while helping ensure data quality, accessibility, and usability across the organization. You'll play a key role in enabling data activation, ensuring that high-quality data flows not only into the warehouse but also outward to business tools like Salesforce, HubSpot, and Braze. Additionally, you will help power next-generation
 
 AI-driven applications
 
 , including agent-based systems and retrieval-augmented generation (RAG), by building robust data foundations and pipelines. This is a great opportunity for someone who enjoys solving data challenges end-to-end from ingestion to insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines (batch and streaming) using tools like Databricks, Spark, Kafka, and AWS services
 </li>
 <li>
 Design, develop, and optimize ETL/ELT workflows using DBT, PySpark, SQL, and tools like Fivetran
 </li>
 <li>
 Partner closely with marketing and growth teams to enable data use cases such as segmentation, campaign targeting, and lifecycle analytics
 </li>
 <li>
 Develop and maintain reverse ETL pipelines to sync data from the warehouse to tools like Salesforce, HubSpot, Braze, and other downstream systems
 </li>
 <li>
 Create and manage curated datasets to support analytics, reporting, and go-to-market initiatives
 </li>
 <li>
 Build and maintain dashboards and reporting layers to support marketing and business performance tracking
 </li>
 <li>
 Support AI/ML and agent-based applications by preparing and serving high-quality datasets for RAG pipelines and MCP (Model Context Protocol) integrations
 </li>
 <li>
 Monitor pipeline performance, troubleshoot issues, and ensure high data reliability and quality
 </li>
 <li>
 Implement data quality checks, validations, and alerting mechanisms across both ingestion and activation layers
 </li>
 <li>
 Collaborate with cross-functional teams to define data contracts and ensure consistency across systems
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 
 6+ years
 
 of experience in data engineering or a related field
 </li>
 <li>
 Strong hands-on experience with Databricks, AWS (S3, Glue, Athena, EMR, etc.), and Kafka
 </li>
 <li>
 Proficiency in Python (PySpark) and SQL for large-scale data processing
 </li>
 <li>
 Experience building and maintaining ETL/ELT pipelines (DBT/Airflow or similar experience preferred)
 </li>
 <li>
 Experience with data ingestion tools such as Fivetran (or similar)
 </li>
 <li>
 Familiarity with reverse ETL / data activation workflows and syncing data to tools like Salesforce, HubSpot, Braze
 </li>
 <li>
 Exposure to or experience with AI/ML data pipelines, including RAG architectures, vector databases, or embeddings workflows
 </li>
 <li>
 Familiarity with agent-based systems, MCP integrations, or LLM-powered applications is a strong plus
 </li>
 <li>
 Experience working with marketing, Product or growth teams on data use cases (segmentation, attribution, campaign analytics, etc.)
 </li>
 <li>
 Understanding of data modeling and working with large-scale datasets (batch and streaming)
 </li>
 <li>
 Experience creating dashboards and supporting reporting workflows (BI tools) for both internal and external audiences
 </li>
 <li>
 Strong problem-solving skills and ability to debug production data issues
 </li>
 <li>
 Strong communication skills and ability to work collaboratively across teams
 
 
 </li>
 </ul>
 Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.
 
 
 Salary Band
 
 
 $185,000&mdash;$225,000 USD
 
 
 
 Company Perks:
 
 
 
 <ul>
 <li>
 Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions
 </li>
 <li>
 Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge*
 </li>
 <li>
 A competitive health insurance plan covers 100% of the policyholder and 75% for dependents*
 </li>
 <li>
 12 weeks of paid parental leave in the US*
 </li>
 <li>
 401k program, 3% match - vested immediately!*
 </li>
 <li>
 $500 work-from-home stipend to be used up to a year of your start date*
 </li>
 <li>
 $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*
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 $1,200 per year Health &amp; Wellness Allowance to support your personal goals*
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 The chance to collaborate with a team at the forefront of AI research
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 Certain perks and benefits are limited to full-time employees only
 
 
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 </ul>
 
 You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work)
 
 
 We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.
 
 
 
 
 
 Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
 
 
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Data Engineer

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