---
title: 'AI/ML Software Engineer at ASG'
canonical: 'https://feeny.ai/job/ai-ml-software-engineer-asg-remote-fpgryqj5gvpc'
type: 'job'
last_seen: '2026-10-31'
---

# AI/ML Software Engineer at ASG

- **Company:** ASG
- **Location:** Remote
- **Work type:** remote
- **Posted:** 2026-10-29
- **Last confirmed live:** 2026-10-31
- **Apply:** https://job-boards.greenhouse.io/asg/jobs/8919112002

## Job description

Company Description

ASG is an unconventional group of market-leading SaaS software companies, serving industries ranging from behavioral health to transportation to childcare. ASG believes deeply in the power of people and data to grow great organizations, and that sharing knowledge, expertise, and resources across its community of businesses drives exponential growth. ASG has acquired over 50 businesses since its inception in August of 2016. We are backed by Alpine Investors and operated by world-class PeopleFirstTM leaders.  Founders of leading SaaS companies continue to trust ASG to grow their businesses and build even stronger legacies for the future. To learn more, visit www.alpinesg.com.

We hire and unleash a diverse array of leaders across ASG whose will to win - and ability to do so with love - is the true magic behind our success.

Job Description

This role is a hands-on builder for ASG’s portfolio companies, focused on developing AI/ML systems and data platforms that unlock new value from data. The AI/ML Engineer will lead and contribute directly to projects such as internal LLM applications, data pipelines, ML-powered product capabilities, and scalable data infrastructure. This person will work closely with operating companies to turn data into practical business outcomes, whether by enabling new products, improving decision-making, or building the technical foundations for AI adoption.

## What You Will Do

- Lead high-impact AI/ML and data engineering projects across ASG portfolio companies, partnering directly with operating companies to design, build, and deliver solutions
- Build hands-on across AI/ML systems, including data pipelines, model integrations, internal LLM applications, APIs, and supporting infrastructure
- Develop LLM-powered tools and workflows that enhance business operations, internal productivity, and product capabilities
- Partner with portfolio companies to identify opportunities to commercialize data through new products, features, and analytics offerings
- Serve as a technical leader and trusted advisor to engineering and data teams across the portfolio, helping shape practical approaches to AI and data adoption
- Contribute to enablement efforts across the portfolio by sharing practical guidance, examples, and best practices for AI/ML and data engineering
- Support training sessions, workshops, and working sessions that help OpCo teams build stronger capabilities in AI, ML, and data infrastructure
- Help establish repeatable patterns, playbooks, and best practices for building and deploying AI/ML and data solutions across multiple companies
- Collaborate closely with portfolio leadership, product stakeholders, and engineering teams to identify where AI, ML, and better data infrastructure can drive measurable impact
- Own the full delivery lifecycle from scoping through production handoff, including structured knowledge transfer that leaves teams capable of owning and extending what was built

## Who You Are

- Demonstrated experience in deploying machine learning, data engineering, and applied AI solutions to solve customer and business challenges at scale
- Familiarity with LLM-based applications, model APIs, retrieval workflows, evaluation approaches, and production deployment patterns
- Have developed production solutions with several (but certainly not all) of the following technologies: Bedrock, Sagemaker, Vertex AI, Glue, Airflow, Spark, Hadoop, Storm, time series databases, Parquet, Iceberg, Redshift, Kafka, Kinesis, Big Query, Cassandra, Open/Elastic Search, dbt, Monte Carlo and Databricks
- Experience developing solutions and analyzing data in Python, R and SQL
- Excellence in data validation — ensuring solutions developed with LLM and ML technologies produce results that are valid and grounded in reality
- Understanding of fine tuning an LLM and strong understanding of inference economics and good judgment about when it’s better to use a frontier model or fine tune a smaller or open source model
- Experience with developing solutions to reliably perform forecasting of various metrics (such as: sales projections, budget forecasts, resource consumption, demand forecasting, capacity planning, etc)
- Experience translating business problems and data opportunities into practical AI/ML solutions
- Knowledge of modern data architecture and best practices across ingestion, transformation, governance, quality, and access
- Strong judgment around model performance, system reliability, security, and maintainability in production environments
- Curiosity and discipline to stay current with the latest advancements in AI tooling, LLMs, and applied ML systems
- Strong communication skills, with the ability to work effectively with engineering, product, data, and business stakeholders
- Comfortable supporting cross-company enablement through knowledge sharing, collaboration, and practical guidance
- Comfortable switching contexts quickly and operating effectively across multiple companies, teams, and priorities

Base Salary Range The target salary range for this position is ($200,000 – $250,000), and is part of a competitive total rewards package including an annual bonus, employer-paid benefits, L&D stipend and incentive pay for eligible roles. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually at minimum to ensure competitive and fair pay.

A Secure Candidate Experience All official emails and messages regarding opportunities at ASG, LLC, will come from our alpinesg.com email domain. Please be wary of communications from similar domains that may contain misspellings or slight variations. These could be attempts at phishing or impersonation. ASG will never ask you for sensitive personal information during the hiring process such as social security numbers, banking information or other personal details.

## About ASG

## Company Overview
- **One-liner**: Alpine Software Group (ASG) builds and scales vertical SaaS platforms that empower specific industries, operating as a collection of independent companies backed by Alpine Investors.
- **Entity Type**: Private (part of Alpine Investors’ portfolio; multiple portfolio companies at various stages)
- **Headquarters**: Not publicly available (ASG leadership is distributed; Alpine Investors is based in San Francisco, California, USA)
- **Founded**: Not publicly available (Alpine Software Group was formed as a platform; individual portfolio companies like AirDNA were founded in 2015)
- **Founders**: Not publicly available (ASG is a holding structure; founders of individual portfolio companies vary)

## Core Business
- **Primary industry/industries**: Vertical SaaS – serving short-term rentals, hospitality, real estate, and other niche B2B markets.
- **Target customers**: SMBs, property managers, real estate investors, and enterprises within specific verticals.
- **Mission or purpose statement**: “Build vertical SaaS platforms that are a force for good for their employees, customers, and the world.” (from ASG careers page)

## Products & Services
ASG’s portfolio companies each offer distinct products. Key known examples:
- **[AirDNA](https://www.airdna.co/)**: Short-term rental data analytics platform (SaaS) – tracks 10M+ listings in 120,000 markets; provides market intelligence, pricing, and investment insights.
- **[Uplisting](https://uplisting.io/)**: Property management software (SaaS) – channel management, automated messaging, dynamic pricing, task coordination, and financial reporting for short-term rental operators (acquired by AirDNA in 2024).
- **[Arrivalist](https://www.arrivalist.com/)**: Travel analytics platform (SaaS) – measures tourism advertising effectiveness and destination marketing ROI (acquired by AirDNA in 2023).

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company; part of Alpine Investors’ portfolio)
- **Key Metric**: Total funding of individual portfolio companies varies. Example: AirDNA raised a private equity round from Alpine Investors in March 2022 (amount not disclosed).
- **Notable Investors/Partners**: Alpine Investors (lead investor and parent), with portfolio companies serving 100+ countries.
- **Growth Signals**: Acquisition of Arrivalist (2023) and Uplisting (2024) by AirDNA; AirDNA’s headcount of ~97 employees (as of 2025); expansion into European HQ in Barcelona; 10M+ listings tracked.

## Competitive Advantages
- **Vertical focus**: Deep domain expertise in short-term rental and travel analytics, creating data moats through proprietary tracking (e.g., 10M+ listings, historical data since 2015).
- **Portfolio synergies**: Shared resources, talent, and best practices across ASG companies (e.g., engineering, data science, sales) while each brand maintains its own culture.
- **Backed by Alpine Investors**: Access to capital, operational expertise, and a network of experienced operators.

## Strategic Focus
- **Current priorities**: Scaling existing portfolio companies through organic growth and acquisitions; expanding data and software offerings across the short-term rental ecosystem; investing in AI and data engineering (e.g., hiring an AI Systems Engineer).
- **Direction for growth**: Deepening vertical penetration, international expansion (e.g., European market), and building integrated solutions that cover the full customer journey from investment to operations.

## Why Work Here
- **Culture highlights**: Emphasis on diversity (30+ nationalities, remote across 10+ countries), high employee engagement (90% feel comfortable expressing new ideas, 91% believe managers care about wellbeing, 95% understand how their work contributes to goals – from AirDNA’s careers page, which reflects the broader ASG philosophy).
- **Remote/hybrid/office policy**: Remote-first with hubs in Denver, CO (USA) and Barcelona, Spain; flexible work environment.
- **Notable perks or engineering culture**: Modern tech stack (Databricks, Kubernetes, dbt, Python, React, Snowflake, etc.); data-driven decision-making; opportunities to work on large-scale data challenges (10M+ listings, real-time analytics). ASG’s careers page highlights a mission-driven approach and a supportive, inclusive environment.

## Sources
1. [ASG Careers Page (Greenhouse)](https://job-boards.greenhouse.io/asg)
2. [AirDNA About Page](https://www.airdna.co/about)
3. [AirDNA LinkedIn](https://www.linkedin.com/company/airdna)
4. [AirDNA Careers Page](https://www.airdna.co/careers)

## Other roles at ASG

- [Senior Software Engineer](https://feeny.ai/job/senior-software-engineer-asg-remote-69y8m2arsgjv)
- [AI Enablement Engineer](https://feeny.ai/job/ai-enablement-engineer-asg-remote-2e9ebtwypwvn)
- [Senior Account Manager](https://feeny.ai/job/senior-account-manager-asg-fully-us-or-0j3mh59w2bmx) — Fully US OR, Canada
- [GTM Engineer](https://feeny.ai/job/gtm-engineer-asg-us-or-walnut-creek-smwtgqe8xks4) — US OR Walnut Creek, CA
- [ASG Senior Associate, Technical Recruiting](https://feeny.ai/job/asg-senior-associate-technical-recruiting-asg-us-or-walnut-creek-dfp1at762w10) — US OR Walnut Creek, CA
- [AI/ML Software Engineer](https://feeny.ai/job/ai-ml-software-engineer-octaura-new-york-arsg63hd3sbc) — New York, NY