Pam is the #1 AI BDC for dealers. Pam integrates directly with your systems to give callers what they need. Pam speaks dozens of languages, makes customers happier, drives more revenue, and saves the team days worth of time.

Industry: Technology, Information and Internet
Company Size: 11-50 employees

Savvy Admin PROD

**Data Engineering Intern — PAM AI **

**Location: ** Tysons, Virginia

**Type: ** Internship (Full-time or Part-time)

**About the Company: **

Pam is the AI workforce for automotive dealerships.

Pam answers calls, books appointments, follows up with customers, and proactively reaches out to keep conversations moving 24/7. The fastest growing Voice AI solution reaching over 700+ dealerships across North America.

Learn more: **pam.ai **

~~Pam.ai is not able to provide employment visa sponsorship at this time. Candidates must be authorized to work in the United States without current or future sponsorship. ~~

**The Problem **

Car dealerships lose billions in revenue every year—not because demand isn’t there, but because **customer communication is broken **. Missed calls, slow responses, poor follow-ups, and fragmented systems lead to lost sales. PAM AI fixes this by acting as the **AI operating layer for dealership communication **—handling calls, texts, chat, and workflows 24/7. But the quality of that intelligence depends entirely on one thing: **Data. **

**The Role **

We’re looking for a **Data Engineering Intern ** who wants to work on the systems that directly determine how intelligent our AI becomes. This is not a "learning" internship in the traditional sense. You will be expected to **build, ship, and own real infrastructure ** that sits in the critical path of our product.

You’ll work on:

- Dataset infrastructure for conversational AI.

- Labeling systems that define ground truth for complex dealership intents.

- Pipelines that turn messy real-world interactions and garbled transcripts into usable intelligence.

If you’re the type of person who enjoys turning chaos into structured systems, you’ll thrive here.

**What You’ll Do **

**Build the Dataset Layer **

- Design and implement systems to **ingest and index large volumes of dealership interaction data **, including calls, transcripts, SMS, and chat.

- Create tools to **search, filter, and explore datasets ** across the company, ensuring high-quality matches for dealership staff and services.

- Build internal infrastructure for **dataset curation and metadata management **.

**Own the Labeling Stack **

- Design workflows that allow distributed labelers to **produce high-quality annotations quickly **.

- Improve labeling systems across speed, accuracy, and usability.

- Help define what "good data" looks like for conversational AI, addressing common issues like duplicate appointments, mis-transcriptions, and improper categorization.

**Ship Data Pipelines **

- Build pipelines that transform raw, unstructured interaction data into structured training datasets.

- Integrate with dealership systems such as CRMs, schedulers like X-Time, and communication platforms.

- Improve reliability and observability of data flows to distinguish between successful lookups and system fallbacks.

**Apply Data Insights to Pam Agents **

- Contribute to **Internal Pam Agent Builder Tools **, where agents are built and improved using prompt composer workers and automated evaluations.

- Connect datasets directly to agent behavior, evaluation, and iteration loops.

- Help close the loop between **data → labeling → model → real-world performance **.

**What We’re Looking For **

**You might be a fit if: **

- You’ve built systems before—not just taken classes.

- You’re comfortable working in Python or TypeScript.

- You understand (or are eager to learn) how data pipelines and backend systems work.

- You care about **data quality and correctness **, not just getting something to run.

**Strong signals: **

- You’ve worked with messy, real-world datasets, such as garbled transcription IDs or inconsistent dealership records.

- You’ve built internal tools or automation systems.

- You’ve explored data labeling, evaluation, or ML workflows.

- You move fast and don’t wait for perfect specs.

**What Makes This Role Different **

- **You will work on core product systems **, not side projects.

- **Your work will directly impact revenue ** for real businesses by improving appointment booking and lead capture.

- You’ll operate in a **high-ownership, low-process environment **.

- You’ll be expected to **figure things out, not wait for instructions **.

**Example Problems You Might Tackle **

- Build a **search engine over millions of dealership conversations ** to improve intent detection.

- Design a **labeling system for customer intent, sentiment, and outcomes ** to resolve complex routing issues.

- Create pipelines that turn raw call transcripts into structured training data for multilingual support.

- Increase labeling throughput by 3x without sacrificing quality through better validation logic.

- Build tools that let non-technical operators contribute to AI training via the Agent Workbench.

**Why This Matters **

Better data → better AI conversations

Better AI conversations → more appointments booked

More appointments → real revenue for dealerships

You won’t just be building infrastructure—you’ll be **directly influencing how businesses capture demand and operate **.

**What You’ll Get **

- Experience building **production-grade data systems for AI **.

- Exposure to real-world **conversational AI at scale **.

- High ownership and direct impact from day one.

- Close collaboration with a small, highly technical team.

Data Engineer

**Growth & Marketing - Multiple Roles **

~~Interns are welcome to apply, and we are also open to recent grads, early-career candidates, and exceptional mid-level operators. ~~

~~Years of experience matter less than proof that you can produce strong work, learn quickly, and take ownership. ~~

**About the Company: **

Pam is the AI workforce for automotive dealerships.

Pam answers calls, books appointments, follows up with customers, and proactively reaches out to keep conversations moving 24/7. The fastest growing Voice AI solution reaching over 700+ dealerships across North America.

Learn more: **pam.ai **

~~Pam.ai is not able to provide employment visa sponsorship at this time. Candidates must be authorized to work in the United States without current or future sponsorship. ~~

**The Roles **

We are building out the Growth & Marketing team at Pam across a few specific areas: social, customer stories, partner marketing, events, marketing operations, growth systems, and creative.

Our goal is simple: **every dealership should know who Pam is, what Pam does, and why Pam matters. **

**This is a group listing. **

You apply once, and based on your strengths, portfolio, and interests, we’ll determine where you can have the most impact.

We are not looking for general interest in marketing. We are looking for people who can contribute in one or more of these areas: writing, social, customer storytelling, events, email, lifecycle marketing, HubSpot, growth experiments, creative, design, research, or GTM automation.

**FOCUS AREAS **

**Social Media **

Build and run Pam’s social presence across LinkedIn, Meta, and short-form video.

You will help turn dealer wins, product launches, industry takes, customer stories, founder ideas, event recaps, and behind-the-scenes moments into content that makes Pam impossible to ignore.

Best fit if you write with personality, understand social platforms, have strong creative instincts and planning, and can move quickly across copy, design, and video.

**Customer Stories & Proof **

Build Pam’s proof engine.

You will help turn customer results into case studies, testimonials, video clips, website proof points, social posts, sales materials, and email campaigns.

That means talking to dealers, asking good questions, finding the real story, pulling in performance data, and packaging it in a way that feels credible and clear.

Best fit if you are a strong writer, comfortable speaking with customers, and know how to turn outcomes into narrative.

**Partner Marketing & Events **

Support Pam’s partner marketing and event presence.

You will help coordinate co-marketing with integration partners through joint campaigns, co-branded content, webinars, emails, launch moments, and event activations.

You will also support event marketing for major automotive conferences like NADA, DMSC, Digital Dealer, and other industry events.

This can include pre-event campaigns, attendee outreach, booth messaging, logistics, on-site coordination, post-event follow-up, and recap content.

Best fit if you are organized, a strong communicator, and the kind of person who follows through on every detail.

**Marketing Ops & Email **

Help build the engine behind Pam’s growth motion.

You will work across HubSpot, email, lifecycle campaigns, lead routing, segmentation, reporting, and marketing automation.

This can include:

- Lead nurture sequences

- Re-engagement campaigns

- Product update emails

- Event follow-up campaigns

- List segmentation

- Lead scoring and routing

- Reporting dashboards

- A/B testing

Best fit if you think in funnels, care about clean data, and like making systems work better.

**Growth **

Help build the systems that turn attention, interest, and intent into pipeline.

You will work across HubSpot workflows, lead routing, lifecycle campaigns, reactivation, website conversion, referral programs, enrichment, reporting, and experiments.

Best fit if you are technical, scrappy, analytical, and creative. You like building systems, testing ideas, shipping pages, and finding leverage where others see manual work.

**Creative & Design **

Support the visual output of the Growth & Marketing team.

You will help create ad creative, social graphics, sales decks, one-pagers, case study layouts, launch assets, website visuals, event materials, and campaign concepts.

You will also help build templates and design systems that keep Pam’s marketing consistent as the team scales.

Best fit if you have strong taste, a portfolio with range, and the ability to move quickly across formats.

**What We Are Looking For **

- Strong writing, communication, creative, operational, or technical instincts

- Good taste in copy, design, content, systems, and storytelling

- High ownership and follow-through

- Bias to action

- Strong attention to detail

- Curiosity about AI, automotive, dealerships, growth, and marketing

- Comfort working in a fast-moving environment

- Ability to take feedback and improve quickly

- Willingness to do both creative and operational work

- Strong organization and project management instincts

- Comfort using AI tools to research, write, design, analyze, build, and move faster

- We care more about output, taste, ownership, and learning speed than a specific degree or number of years of experience.

Growth & Marketing - Multiple Roles

**Senior Software Engineer – LLM Reliability **

**About the Company **

Pam is the fastest-growing voice AI platform for auto dealerships. We handle millions of calls, book service appointments, and drive real revenue for 500+ dealerships. To do this, we integrate with every major Dealer Management System — Tekion, CDK, XTime, MyKaarma, Dealer-FX, and more.

We're hiring a Senior Engineer to own LLM reliability. This isn't a feature role. This is the "make it bulletproof" role. You'll be the person who ensures Pam says the right thing, every time, and catches problems before customers do.

If you get energy from making AI systems reliable at scale—not just shipping demos—this is your role.

Pam.ai is not able to provide employment visa sponsorship at this time. Candidates must be authorized to work in the United States without current or future sponsorship.

**Role **

• Own LLM reliability and response quality across our voice AI platform

• Build observability into LLM behavior—know when Pam is performing well vs struggling

• Reduce hallucinations, failed intents, and bad responses through better prompts, model selection, and fallback strategies

• Create customer health monitoring so we catch issues before they become complaints

• Ship fast—we expect code in production your first week, and meaningful impact within your first month

• Mentor junior engineers on LLM reliability practices

**Qualifications **

• Have 5+ years of software engineering experience, with at least 1 year working on production LLM systems

• Are strong in TypeScript (our entire stack) and AWS

• Use AI to code — Claude Code, Cursor, Copilot, or equivalent. This is how we work.

• Know how to improve a live system without breaking it

• Have opinions on how to make LLMs reliable, not just how to use them

• Think in terms of measuring and improving, not just shipping and hoping

• Can debug deeply when an LLM is behaving badly—prompt issues, context problems, model limitations

• Move fast but care about quality—you ship Day 1, but you think about what could go wrong

• Get energy from reliability work, not just feature work

**Preferences **

• Experience with voice AI, conversational systems, or real-time AI

• Built LLM evaluation frameworks or quality monitoring systems

• Context engineering: structuring prompts and systems so they're observable and debuggable

• Background in reliability engineering, SRE, or production ML systems

• You've been on-call for AI systems and have scars to show for it

Senior Software Engineer

**Senior Engineer – New Product (0→1) **

**Company **

Pam is the fastest-growing voice AI platform for auto dealerships. We handle millions of calls, book service appointments, and drive real revenue for 500+ dealerships. Now we're expanding into a new product line and we need someone to own it.

We're backed by Autotech Ventures and partner with the biggest names in automotive (Tekion, Dealer-FX, CDK). We've powered $100M+ in repair orders and handle calls for 500+ dealerships across the US and Canada.

Pam is an AI playground for builders. We combine strong engineering fundamentals with cutting-edge AI, creating space for you to grow into the engineer of tomorrow.

Pam.ai is not able to provide employment visa sponsorship at this time. Candidates must be authorized to work in the United States without current or future sponsorship.

**About the Role **

This is a chance to own a new product line at a fast-growing AI company, not just write code, but build something from the ground up.

We're hiring a Senior Engineer to take over an early-stage product from the CTO and make it their own. You'll inherit a working MVP, productionize it, and scale it. This is a 0→1 role, you'll own everything from prompt engineering to data modeling to full-stack feature development.

If you want to own a product, not just write code for someone else's vision — this is your role.

**What You'll Do **

- **Own the Product: ** Take over from the CTO as primary engineer. This becomes your product.

- **Productize: ** Turn a working MVP into a reliable, scalable, maintainable system. Handle edge cases, add observability, make it operable.

- **Prompt Engineering: ** Own the AI behavior — build guardrails, tune conversations, improve over time

- **Data Modeling: ** Understand and extend a complex orchestration system. Build new entities that fit into existing primitives.

- **Full-Stack Development: ** Build dashboards, analytics, integrations, multi-channel features

- **Data Analysis: ** Instrument for reporting, make decisions based on what the data shows

**You Might Be a Good Fit If You **

- Have 4+ years of software engineering experience

- Are strong in TypeScript (our entire stack) and AWS

- Use AI to code — Claude Code, Cursor, Copilot, or equivalent. This is how we work.

- Have strong prompt engineering skills — or are excited to develop them

- Can work with complex data models (ERDs, relational schemas, SQL)

- Are full-stack capable — backend, APIs, dashboards

- Thrive in ambiguity — you can take a PRD and turn it into working software

- Want to own a product, not just contribute to one

**Bonus Points **

- Experience with CRM integrations

- Built multi-channel messaging systems (SMS, email, voice)

- Worked on 0→1 products before

- Experience with outbound/marketing automation

- Automotive or dealership domain knowledge

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