Sales Automation Engineer
Syntas is looking for a Sales Automation Engineer to design and build AI-powered sales systems that transform how our clients acquire and engage customers. You will work at the intersection of sales technology, artificial intelligence, and software engineering to create automated outreach systems, intelligent lead scoring models, and seamless CRM integrations that drive measurable revenue growth. This role is ideal for engineers who understand both the technical complexity of building robust automation systems and the business dynamics of B2B sales. You will collaborate directly with sales leaders and revenue operations teams to understand their challenges, then architect and implement solutions that eliminate manual work, improve conversion rates, and scale their go-to-market efforts.
About the Role
As a Sales Automation Engineer at Syntas, you will be the technical architect behind revenue-generating systems for clients across industries. Your work will directly impact pipeline growth, sales efficiency, and ultimately the bottom line of the businesses we serve. This is not about building generic tools—it is about understanding each client's unique sales motion and engineering custom solutions that fit their specific needs.
You will spend your days building intelligent outbound systems that identify ideal prospects, craft personalized messaging at scale, and engage leads through multi-channel sequences. You will create inbound automation that qualifies leads in real-time, routes them to the right sales reps, and ensures no opportunity falls through the cracks. You will integrate AI capabilities into existing CRM platforms to surface insights, automate data entry, and predict deal outcomes.
The variety in this role is exceptional. One engagement might have you building a custom prospecting engine that scrapes and enriches company data, scores leads using ML models, and triggers personalized email sequences. The next might focus on implementing conversational AI that handles initial sales inquiries, books meetings, and hands off qualified leads to human reps. You will become an expert in the full spectrum of sales technology while honing your ability to deliver business impact.
We value engineers who can bridge the gap between technical implementation and business outcomes. You should be comfortable presenting to VP-level stakeholders, translating technical concepts into business language, and measuring success in terms of revenue metrics rather than just code quality. If you are excited about using technology to solve real business problems and want to see the direct impact of your work, this role offers that opportunity every day.
What You Will Build
- 1AI-powered outbound prospecting systems that identify, enrich, and engage high-value leads automatically
- 2Intelligent lead scoring models that predict conversion probability and prioritize sales rep focus
- 3Multi-channel sequence automation spanning email, LinkedIn, phone, and SMS with dynamic personalization
- 4Real-time lead qualification chatbots and conversational AI that capture and route inbound inquiries
- 5CRM automation workflows that eliminate manual data entry and keep pipeline data accurate
- 6Sales analytics dashboards that surface actionable insights from pipeline and activity data
- 7Integration layers connecting disparate sales tools into unified, automated workflows
Key Responsibilities
- Design and implement end-to-end sales automation systems for client engagements across various industries and sales motions
- Build AI-powered lead scoring and qualification models using machine learning and LLM-based approaches
- Develop integrations between CRM platforms (Salesforce, HubSpot), outreach tools, and custom AI systems
- Create personalization engines that generate tailored messaging based on prospect data and behavior signals
- Implement email deliverability best practices including domain warming, authentication, and reputation management
- Build data pipelines that enrich lead records with firmographic, technographic, and intent data
- Design conversation flows for sales chatbots and virtual SDRs that handle initial prospect engagement
- Collaborate with client sales and revenue operations teams to understand requirements and iterate on solutions
- Monitor and optimize automation performance using A/B testing, conversion tracking, and attribution analysis
- Document technical architectures, integration patterns, and operational runbooks for client handoffs
- Stay current with sales technology landscape and evaluate new tools for potential client applications
- Contribute to internal frameworks and reusable components that accelerate future engagements
- Present technical solutions to client stakeholders and translate complex systems into business value narratives
What We Are Looking For
- 4+ years of software engineering experience with at least 2 years focused on sales technology, marketing automation, or revenue operations systems
- Strong Python proficiency with experience building data pipelines, APIs, and automation scripts
- Hands-on experience with CRM platforms—Salesforce and/or HubSpot development, APIs, and customization
- Understanding of B2B sales processes including outbound prospecting, lead qualification, and pipeline management
- Experience with email automation platforms (Outreach, Salesloft, Apollo, or similar) and deliverability optimization
- Familiarity with AI/ML concepts and ability to implement LLM-based personalization and classification systems
- Knowledge of data enrichment services (Clearbit, ZoomInfo, Apollo) and web scraping techniques
- Experience with SQL and data analysis for sales metrics, attribution, and performance optimization
- Understanding of API integration patterns, webhooks, and event-driven architectures
- Strong communication skills with ability to work directly with non-technical sales stakeholders
- Self-directed work style with ability to manage multiple client projects in a remote environment
- Consultative approach—you enjoy understanding business problems before jumping to technical solutions
Nice to Have
- Experience with conversational AI platforms for building sales chatbots and virtual assistants
- Background in email deliverability, domain reputation, and anti-spam compliance
- Familiarity with LinkedIn automation and social selling tools
- Experience with revenue intelligence platforms (Gong, Chorus, Clari)
- Knowledge of CPQ (Configure-Price-Quote) systems and sales enablement tools
- Background in marketing automation and demand generation systems
- Experience with data warehousing and BI tools for sales analytics
- Prior consulting or agency experience with client-facing responsibilities
- Understanding of GDPR, CAN-SPAM, and other compliance requirements for sales outreach
- Experience with product-led growth and self-serve sales motions
- Familiarity with account-based marketing and sales strategies
- Public speaking or content creation experience in sales technology space
Tech Stack
Benefits & Perks
- Competitive salary: $130,000 - $180,000 depending on experience
- Equity participation with meaningful upside as we grow
- Fully remote work with flexible hours—work from anywhere in the US
- Comprehensive health, dental, and vision insurance (100% premium covered for employee)
- Unlimited PTO with encouraged minimum of 4 weeks—we mean it
- $3,000 annual learning and development budget for courses, books, and certifications
- Conference attendance budget including travel—attend or speak at sales tech conferences
- Top-tier hardware: MacBook Pro, external display, and peripherals of your choice
- All AI tools and subscriptions you need: GPT-4, Claude, GitHub Copilot, and more
- Quarterly team offsites in interesting locations
- 401(k) with company match
- Paid parental leave (12 weeks)
- Home office setup stipend ($1,000)
- Work on genuinely interesting problems across diverse industries
Ready to Apply?
Send us your resume and a brief introduction. Tell us about your experience with AI/ML systems and what excites you about this opportunity.