Senior Sales Automation & Integrations Engineer

Senior Sales Automation & Integrations Engineer Mac Mountain LightCraft, LLC Woodstock, VT Full-time Full-time About Mac Mountain Mac Mountain owns, operates, or provides select broadband services for a growing portfolio of regional fiber-broadband ISPs across the Northeast — GWI (Maine), LymeFiber, NWFX, DVFiber, Maple Broadband, Islesboro, as well as national partnerships through Halo Fiber and Blueprint Broadband — and has an operating subsidiary called LightCraft which acts as a shared-services platform (including a Concierge white-glove offering for helping broadband customers set up their tvs and IoT devices). All business operations for these networks is done by LightCraft allows for scaling the financing, design, build, sales and operation of fiber-broadband networks Almost every operational system we use — sales pipeline, AI voice agent, tickets dashboard, KPI dashboard, finance automation, marketing automation, concierge platform — is something we built ourselves and connect into the BSS/OSS layer (Gaiia), our data warehouse (AWS S3), our telephony stack (Twilio + ElevenLabs on AWS), our CRM (HubSpot), and our GL (Sage).

The result:

a tiny engineering footprint runs operations at multi-network scale. We are hiring a full-time automation engineer with a sales background to partner with our lead engineer and own large pieces of this stack as it scales. The first 90 days of this role are defined by three high-urgency projects that directly drive our summer install push and our subscriber-growth thesis. What you'll do — three near-term priority projects: You will join a sprint already in motion and own meaningful pieces of all three of these: 1. Self-scheduling install automation We are running one install crew today at ~2 installs/day and are ramping to four internal crews and 40+ installs/week with a summer goal of 1,000 installs. The bottleneck is not crews — it's the manual customer-contact step between a signed-up account and a scheduled install. As of this morning, we have 32 accounts sitting in Pending - Customer Contact across networks. You will build the system that closes this gap end-to-end: automated SMS + email triggered the moment a Gaiia account hits Pending - Customer Contact, automation needs to be built to followup due to a non-response, a self-scheduling page that respects crew capacity/travel/job duration and writes back to Gaiia, reminders, reschedule and cancel flows, a fallback to the AI voice agent for non-responders, and a live install-funnel dashboard that replaces today's manual call-down work. The system has to support 4 crews × 40+ installs/week with crews booked at least two weeks out. 2. Marketing measurement & attribution We currently have no marketing attribution in the sales process. The sub-factory plan budgets $200-$500 CAC against a 2,000-subscriber growth target — we cannot optimize that without measurement. You will roll out UTM-tagged links across every surface (email, paid social, geo-fencing, display, organic, referral, MDU canvassers, and printed flyers/door hangers via QR codes), wire up

GA4 + GTM

properly across the brand sites, stamp the originating UTM tuple onto the Gaiia account at signup, build a CAC dashboard that reports digital + print + canvasser CAC by channel and cohort, ship a small internal tool that lets marketing mint per-batch QR / short URLs for flyers and reps, and post a weekly automated marketing report to Slack #sales and #finance. 3. Concierge platform (formerly Stream Team Concierge) Concierge is the LightCraft white-glove offering that helps customers transition from cable/satellite to data-only fiber streaming — setting up AppleTV, Rokus, Smart TVs, gaming consoles, Ring cameras, etc. We already have the AWS-hosted agent app, the AI knowledge base, Gaiia integration, and mybundle.tv integration and IaC foundation.

You will finish the rest:

an Intercom-style AI website chatbot for Tier 1 / Tier 2 self-help, expansion of the knowledge base to the top-10 selling smart TVs, a Concierge analytics dashboard (call volume, intents, sentiment, AHT, FCR, upsell attribution), refined bidirectional Gaiia mapping for in-call customer-360, a post-call AI-summary tagged-intent Snowflake pipeline, and the technical hooks that the LightCraft-GWI/ECFiber Shared Services Agreement and CPNI requirements call for once Legal finalizes them.

Standing platform ownership:

Once you've cleared the priority projects, you'll co-own — and over time take primary ownership of — the rest of the platform: AI Voice Agent — Twilio + ElevenLabs + AWS Lambda. Multi-brand hunt groups, magic-link auth into Gaiia, post-call summaries written into Gaiia notes, concurrency control across agent instances, cost monitoring on 11labs, voicemail-to-ticket flows.

Softphone / Dialer

App — internal soft-phone for CSRs and sales reps, with real-time transcription, call recording, and integrated routing across all brand networks. Tickets Dashboard — supports our CSR and tech-support teams; mid-migration from the Gaiia API to a Snowflake-backed model. KPI Dashboard — revenue, churn, AR aging (Gaiia + Sage), product hierarchy, market penetration, take rates. Hand-in-glove with Finance. Pipeline Tracker — custom sales pipeline app with bidirectional HubSpot sync, financial-model generation, provenance/audit history, mobile-friendly quick-update flows. Finance, Quote/Contract, and Installation-Process Automation — lockbox/payment matching, network invoicing, 3-statement model automation, disconnect automation. DataLake — partnership with our external data partner (OnPoint) to centralize 16 data models across Vetro, Gaiia, Sage, Salesforce, and others. Infra — Terraform-managed AWS, Snowflake roles, CI/CD, observability. You'll work in weekly sprints tracked in monday.com, ship behind the scenes most days, and demo to the leadership team on Mondays. What we're looking for: We don't care about your title at your last job. We care that you can ship.

Must-haves:

6+ years building production software, with at least 3 years operating internal tools / integrations end-to-end as an individual contributor. Strong in Python and TypeScript/Node.js. Comfortable in AWS (Lambda, API Gateway, S3, RDS / DynamoDB, IAM, CloudWatch) and Terraform. SQL fluency, ideally on Snowflake. You can write a churn or NRR query and defend the math to a CFO. Real experience integrating with messy third-party

APIs:

rate limits, webhooks, idempotency, field-mapping reconciliation, conflict handling.

Bonus for any of:

HubSpot, Twilio, SendGrid, ElevenLabs, Stripe, Snowflake, Sage Intacct, Salesforce, Gaiia. A modern frontend / dashboard framework: React / Next.js preferred. Marketing attribution / GA4 / GTM / UTM hygiene at a working level — you've shipped server-side conversion stamping, you understand cookies vs. server events, and you can build a defensible CAC report. Strong written communication. Most of our team is async.

Strongly preferred:

Appointment-scheduling / field-service-dispatch experience — you've shipped a calendaring system that respects capacity, travel time, and SLA. (Anyone who has been near Calendly internals, Jobber, ServiceTitan, healthcare scheduling, or home-services dispatch is exactly who we want for the install-scheduling project.) Voice / telephony or AI-agent experience — Twilio Programmable Voice, IVR design, ElevenLabs, Vapi, Retell, Bland, Pipecat, OpenAI Realtime. AI chatbot / RAG experience — you've shipped a production website chatbot with handoff to humans and you know how to keep transcript context. ISP / fiber / telecom or regulated-industry exposure (HIPAA, CPNI, PCI). You'll complete CPNI training in your first month regardless. Background as the first or second engineer at a startup.

Personality fit:

You like being one of two people who can deploy production. You don't like being one of fifty. You're comfortable being told "this is critical, drop everything" — and equally comfortable pushing back with a better plan. You can talk to the CFO about revenue reconciliation, to the COO about CSR workflows, to a marketing lead about UTM hygiene, and to an install foreman about route density — all in the same morning. You bias toward building primitives and owning your own infrastructure over buying black-box SaaS. Tech stack you'll work in day one:

Languages:

Python, TypeScript / Node.js,

SQL Cloud:

AWS (Lambda, API Gateway, RDS, S3, CloudWatch, IAM),

Terraform Data:

Snowflake, Gaiia API, Sage Intacct, Vetro, internal data lake (OnPoint partnership) Telephony / Voice /

AI:

Twilio Programmable Voice, SendGrid, ElevenLabs, internal hunt groups

Frontend:

React-based internal dashboards at •.macmtn.

com Marketing analytics:

Google Analytics 4, Google Tag Manager, UTM-based attribution, QR / short-URL generation

Integrations:

HubSpot, Salesforce (historical import), monday.com,

Google Workspace, Slack Ops:

monday.com sprints (weekly), Slack async, weekly L10 leadership sync What we offer:

Compensation:

Mac Mountain offers a competitive base salary + meaningful equity in a growing infrastructure business. Range disclosed in the first conversation; we benchmark to senior IC roles at Series A/B U.S. tech startups

Benefits:

Mac Mountain offers a comprehensive benefits package to eligible employees, including health, dental, life, AD&D, and both long-term and short-term disability insurance. You will be entitled to paid time off, along with designated holidays You may participate in our 401(k) retirement savings plan All employees are provided a monthly stipend for home internet and cellular service, along with standard equipment (MacBook Pro, monitor, peripherals). We host quarterly team on-sites in New England or other business priority locations Direct line to the CEO — small team, no political tax.

How to apply:

Make sure to include: Resume or LinkedIn. A short note ( 400 words) on the most complex integration or internal-tool project you've shipped end-to-end, and what you'd do differently if you built it again. Indicate which of the three priority projects (self-scheduling, marketing attribution, Concierge platform) you'd be most excited to lead and why.

Optional:

links to any public code, write-ups, or production systems you can speak to. We respond to every applicant within 7 days.

Our process:

30-min intro with Tevis Pieper (COO). 60-min technical conversation with Ishan Anand (Lead Engineer), walking through one of our actual systems. Paid technical exercise ( 6 hours, real ticket from our backlog — likely from one of the three priority projects above). 45-min final with Alex Rozek (CEO). Reference calls and offer. Mac Mountain is an equal-opportunity employer.