Description

Job Overview

• Source: WeWorkRemotely

Job Description

Headquarters: Austin, TX
URL: https://vidalytics.com

If you love building AI agents, wiring systems together, and watching whole teams stop doing by hand what a machine can do better, faster, and cheaper, and you want to make a whole company AI native rather than ship a slick demo, keep reading.

You'll be the person who makes Vidalytics AI native from top to bottom. You'll build the agents, the chains, the prompts, the reusable skills, and the cross system automations that let every team punch way above its weight. You'll report to the CEO. LFG!

You'll start where the money is, on the revenue teams (sales, marketing and customer success), then take it across the whole org. You’ll work with the stakeholders who will use your workflow automations on a daily basis, to achieve the best solutions. 

Most importantly work w/ each team member to help them become AI Native themselves. Which tools they should be using, how they can build upon your ideas, or even spearheading projects of their own that you ensure the success of from a technical perspective.

What You'll Be Doing (Job Tasks)

• Build AI agents and chains that do real work end to end, not chatbots that just talk.

• Write, version, and test prompts like code. Build reusable skills the whole org can run.

• Stand up cross system automations (n8n, Zapier, and custom code) that wire our tools together so work flows without a human babysitting it.

• Make each team at Vidalytics AI native,.  Not just automating work, but helping each team member become AI Native - knowing which tools to use and how to use them. Where they’re self sufficient to continue automating their jobs.

• Ship internal tools and automations that make the company more efficient and effective. You stay hungry for more, always improving what we build and use.

• Build evals and observability so every AI system is measured, monitored, traced, and cost controlled. If you can't measure it, you can't ship it.

• Ground AI outputs in our own company data (retrieval / RAG) so they're accurate, not confidently wrong.

• Diagnose failures, kill hallucinations, and build the guardrails that keep systems reliable in production.

• Help with AEO / GEO where it moves the needle.

Requirements

(The must haves)

• You’re able to choose the right tool for the job. Which AI tool, LLM, agent is the best answer you can figure out wihtout endless tinkering. You care whether the work gets faster, cheaper, or better, not whether it uses the trendy thing.

• You've already shipped this kind of work in production. This is not a learn on the job role nor is it for the hobbiest. We expect real results, right away. We’re already doing all of this ourselves but need an expert level person to take ownership.

• AI is a young field, so we expect only a few years of hands on AI experience, but it has to sit on top of strong, relevant broader engineering experience, and you must have built and run real AI systems that other people depend on.

• You can actually code, and not just with Claude lol. You're comfortable with databases, APIs, and MCP, wiring systems together for real, not just clicking boxes.

• You build evals and observability by default. You measure, monitor, trace, and control cost as a matter of habit.

• You hold a production grade reliability bar. You ship systems that keep working for months, not demos that impress once and break the next day.

• A ready to show portfolio, or concrete examples of what you've built and the results it delivered.

• Your working hours overlap strongly with US Eastern time. We can discuss further.

• You’re not token-wise, prompt foolish. 

• You're fluent across the frontier models, (Claude is our primary, ideally it is yours), and you know which model to reach for and why (cost, latency, context, reliability, specific use cases, etc.). 

• You use tools like Claude Code and Claude Cowork daily, and not just a prompt

• You're comfortable with AI native hosting and deployment, for example Vercel. 

• You're hands on with automation tools like n8n and Zapier, and you know when to drop them and write custom orchestration instead.

• You ground AI outputs in real data with retrieval / RAG so they're accurate and don't hallucinate.

• Most of your availabe working hours overlaps (or can) w/ the Eastern US time zone. 

Nice to Have

(Not required, but a plus)

• Basic security and data protection know how. When you automate things, you don't want a free for all where anything can touch whatever data. Not a deal breaker.

• AEO / GEO experience.

• Deeper software engineering chops.

• Exposure to our stack: HubSpot, Fathom, Slack, Google Workspace, PostHog, Intercom, BigQuery, GCP, Vercel, v0, Lovable, Github.
  
  

Who You Are (Personality Type)

• You’re a passionate tinker who loves this field and playing with new tech, but you can also shut down your internal shiny ball syndrome and GSD (get shit done). 

• You translate between business problems and AI systems. You ask the right questions, fill the gaps, and turn messy business needs into working automations.

• You’re organized. You speak ROI. You’re familiar with marketing, sales and customer success workflows in particular as well as other functions of a modern tech company. 

• You're biased toward shipping fast. You deliver in small, valuable chunks that compound.

• You're loyal to outcomes, not hype. You don't care how cool the tech is. You care whether it saved time, made money, or removed a human bottleneck.

• You measure everything. Evals, cost, latency, reliability. If it isn't measured, it isn't real.

• You thrive on vague specs and can coordinate the rapid ideas of a choatic visionary. You can talk out ideas, bring structure to projects and don’t need everything spoon fed to you or spec’ed out in pretty user stories.
  
  

What You'll Love About Us (Benefits and Perks)

• High performance company culture. You won't be a cog in a machine. You'll be a key member of a high performance team that gets shit done. This is a place to grow and realize your potential, no matter where you are in your career.

• No office politics. We're small and flat. No dancing around sensitive topics or diverting resources from other teams. We're direct, we're honest, and we're here to accomplish big audacious goals.

• We value your ideas. At Vidalytics, my door is always open. Need help? Let's talk. Have a vision for the future of the company? I want to hear it. Think I suck at my job? Help me grow.

• Rest and relaxation. Employees get 20 days of PTO.

• Professional development. Want to keep learning? Vidalytics pays for classes, conferences, and more.

• You're more than an employee, you're a person. Every coworker you meet is committed to treating you with respect and kindness. You won't hear stuff like “It's just business.”

• This is a resume making position, where you'll learn a lot and carry real responsibility. You don't have to wait for someone to die or retire to move up, like in a megacorp.

• Entrepreneurial to our core. Not only are we a startup, but we need intrapreneurs who will help us scale, and we plan to start sister corps over time to form a portfolio of companies you could help found.

Vidalytics' Values (Yes, We're Actually Serious About These)

• Play to Win. We're competitors. We do what it takes to win. That means we will fail and we will lose, but we want to do those things fast so we can win, because winning is on the other side of mistakes.

• Scrappy. We're a startup and it's chaotic. This isn't the government. You need to learn fast, move fast, and handle it. If you want an easy job, go work at the government.

• Meritocracy. The best idea wins, not the person it came from. You can be direct and transparent with anyone. Start with analysis, form hypotheses, test small, measure results, iterate, and scale big with data. We can't have perfect data, so once a decision is made, get on board.

• Own Yourself. We do what we say, and we own what we've done. Mistakes happen. The worst thing is when someone doesn't own and learn from them. You trust us. We trust you.

• Self Actualization. This is a place for hyper learning. We want to scale, and you need to scale with us. That doesn't always mean climbing a ladder. It means upleveling skill, closing gaps, growing, and being self actualized.

• Conscious Teamwork. No politics. No bullshit. Instead, integrity, emotional intelligence, transparency, and curiosity. Attack ideas, not people.
  
  

Cheers,

Patrick Stiles

Founder / CEO @ Vidalytics

To apply: https://weworkremotely.com/remote-jobs/vidalytics-ai-automation-engineer-in-house-martech-video-saas

Expert Career Tips for Vidalytics: AI Automation Engineer, In-House MarTech Video SaaS Roles

To succeed in a competitive market as a Vidalytics: AI Automation Engineer, In-House MarTech Video SaaS, you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Vidalytics: AI Automation Engineer, In-House MarTech Video SaaS requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

Global Market Intelligence & Relocation Insights

At JobSetuu, we specialize in helping talent navigate the global job market. Here is what you need to know about the current landscape in Global and beyond:

The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

Work-Life Balance Trends: Hybrid and remote work have become standard in many regions. Research the local labor laws and common practices regarding work hours and vacation time to ensure the role aligns with your lifestyle goals.

Leveraging JobSetuu's tools can help you compare salaries across different cities and understand the "purchasing power" of your potential offer, ensuring you make an informed decision for your long-term career path.

Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
• AI Augmentation: Learn how to leverage generative AI and automation tools to increase your productivity. Understanding how to integrate these technologies into your workflow is becoming a non-negotiable skill.
• Leadership & Strategy: Even in individual contributor roles, the ability to think strategically and lead projects from inception to completion is highly valued. Focus on stakeholder management and high-level project planning.
• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Vidalytics: AI Automation Engineer, In-House MarTech Video SaaS position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.