What does truly cutting-edge AI work look like? Meet some of the innovators driving Trilogy's AI-first transformation. 🚀✨ Working 100% remotely and async, we team up with the world's top 1% tech talent - through Crossover - to build with advanced AI, tackle tough problems, and change how software operations work. High standards, high impact.
Trilogy
Software Development
Austin, TX 234,919 followers
Building the Future of Intelligent Software Operations, AI-First. Fully Remote.
About us
Trilogy acquires software companies and fundamentally transforms them with an AI-first strategy. We embed AI and automation deep into operations – from development to support – to unlock radical efficiency and drive growth. Powered by the top 1% of global remote talent sourced via Crossover, we refine proprietary playbooks to build the future of intelligent, high-performance software operations. Join us at the cutting edge.
- Website
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http://www.trilogy.com
External link for Trilogy
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- Austin, TX
- Type
- Privately Held
- Founded
- 1989
- Specialties
- Automotive configuration software, Financial services channel compensation software, telecommunications network management software, and telecommunications channel compensation software
Locations
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Primary
401 Congress Avenue
Austin, TX 78701, US
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Rua do Doutor Joaquim Pires de Lima 27
Porto, Porto 4200-349, PT
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Via Piave, 19
Verderio, Lomb. 23879, IT
Employees at Trilogy
Updates
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Trilogy reposted this
Exciting opportunity for finance professionals! 🎉 Trilogy (via Crossover) is hiring a Senior Accountant – and it’s a 100% remote role! 💰 Pay: $60,000/year ($30/hr) 🌍 Location: Anywhere in the world 📊 Work on: International consolidations, M&A, ERP systems, and more This is your chance to join a team of top-tier finance experts and work on global-scale projects without leaving your home office. Apply here: https://lnkd.in/dTUhUSji Know someone who’d be perfect? Tag them! 🚀
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Trilogy reposted this
Shivam Gupta, Senior AI Innovation Specialist at Trilogy, just shared something that completely reframed how I think about career choices. Every work culture asks you to make trade-offs. The problem is that most of us never consciously choose which ones we can actually live with. Google/Meta's Trade-off: Total immersion with gourmet meals and endless amenities, but the line between work and social life is intentionally blurred Amazon/Netflix's Trade-off: A chance to play on a dream team of hyper-performers, but the cost is relentless pressure and high anxiety - it's "a crucible, not a community" Apple's Trade-off: A chance to make history on the world's most beautiful products, but you must be a creative genius who conforms perfectly to top-down vision Crossover's Trade-off: Radical autonomy and global opportunities, but you become the CEO of your own social life and professional development Shivam writes: "These cultures are all brilliant, sophisticated systems for managing ambiguity. The goal for any professional is to consciously choose the culture that works best for them." His insight hit me: We spend so much time complaining about workplace cultures without asking ourselves what we actually want. Do you crave the energy of constant collaboration, or do you do your best work in focused solitude? Do you want your company to provide community, or do you prefer to keep work and social life separate? Do you thrive under pressure, or do you need psychological safety to perform? There is no perfect culture. But there might be a perfect culture for you. What trade-offs are you making in your current role? And more importantly - are they the right ones for who you are? Link to Shivam's full breakdown in the comments 👇 #WorkCulture #RemoteWork
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Trilogy reposted this
🚨 Cool job alert 🚨 VP of HR - Global M&A at Trilogy. $200k/year. Ready to lead the hard conversations that others avoid? Forget "culture work" and engagement surveys. This role is about flawless execution when the stakes are highest. Q: What's the business reality? A: Trilogy manages complex M&A transitions involving hundreds of employees per quarter. Someone needs to coordinate across Legal, Finance, IT, and HR to ensure every detail is compliant, on time, and under control. Q: What am I actually doing? A: Leading global RIFs and post-M&A HR transitions across multiple jurisdictions (US, UK, EU, India). Building execution timelines, handling offboarding logistics with zero errors, translating legal guidance into clear employee communications. Q: What's the execution environment? A: High-volume, high-stakes, cross-border complexity. You'll manage final pay, access, benefits, compliance - all while coordinating proactively across teams. No delegating the tough conversations. Q: What experience do I need? A: 8-12 years HR experience including 2+ years Director/VP level, proven track record with both RIFs and post-M&A transitions, familiarity with employment law in 2+ jurisdictions, SHRM-SCP/SPHR certification. Q: Why this role? A: If you're the type of HR leader who stays calm under pressure, can be respectful without getting rattled, and wants to master the most challenging aspects of HR execution, this is your opportunity. Remote from anywhere, flexible schedule. https://lnkd.in/gMnkuXGu #HRJobs #MergerAndAcquisition #ExecutiveJobs #RemoteWork #HRLeadership
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Trilogy reposted this
This accountant from Pakistan left his Big 4 career in the capital to work remotely from his hometown - and he never wants to go back! 🇵🇰
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Trilogy reposted this
"There's nothing more useless than a secret genius." Yet 75% of high performers are afraid to share their thinking publicly. They're the ones solving the hardest problems, architecting the cleanest systems, making the decisions that matter. But when promotion time comes? They're overlooked for the person who "communicates better." The truth is... your achievements don't speak for themselves. In the most cutthroat tech job market ever, visibility isn't optional, it's survival. The problem: Everyone's been given the same tired advice: ❌ "Build a good portfolio" ❌ "Network more" ❌ "Develop your skills" The solution: Think in Public I'm not talking about becoming a LinkedIn influencer. This is about building a systematic approach to sharing your expertise: Internal Mode: Strategy docs, AI training materials, async memos → Result: You become the person teams turn to for clarity External Mode: Frameworks, insights, public analysis → Result: Opportunities chase you instead of vice versa The AI advantage changes everything: • 66% productivity boost (MIT research) • 80-90% time savings in content creation • Triple workplace impact with GenAI Being "too busy" is now a choice, not an excuse. Your best thinking lives in draft folders no one sees. You're training AI on everyone else's insights but your own. Stop optimizing your resume. Start proving your thought process. Learn more about thinking in public: https://lnkd.in/gQYeXYhc #ThinkingInPublic #TechCareers #AIProductivity #Leadership #CareerGrowth
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Trilogy reposted this
LLMs fail hard at data analysis on large datasets. How do you get around that? When you're working with large, quantitative datasets, LLMs often fail hard. Instead of insights, you get: - Surface-level fluff - Generic phrasing - Shallow interpretations That’s not just unhelpful, it’s risky. Data analysis is basically two hard problems: 1. Text-to-SQL → Getting the right data 2. Post-Retrieval Analysis → Making it mean something You need both. Retrieval without analysis is just reporting. Analysis without accurate retrieval is fiction. Evaluated a YC-backed end-to-end tool (Pandas AI) - too inconsistent. So I moved onto more granular experiments on the Text-to-SQL piece: 1. Benchmarked a state-of-the-art fine-tuned model on the Spider dataset 2. Built a custom benchmark using Oklahoma’s state general ledger 3. Fine-tuned GPT on schema-aware Text-to-SQL for that dataset ✅ What Works: 1. Query Translation LLMs are effective at turning natural language into SQL - when schema-aware, prompt-tuned, or paired with retrieval/fine-tuning. 2. Insight Summarization LLMs can explain outputs, identify trends, and craft readable narratives - if fed structured, validated results. 3. Error Detection & Recovery Prompting with model feedback (e.g., SQL error traces) enhances performance beyond what benchmarks test. 4. Semantic Assistance in Preprocessing LLMs are helpful for cleaning tasks like label normalization, typo correction, and formatting suggestions. ⚠️ What Doesn’t Work: 1. End-to-End Analysis in One Prompt Raw data in, insights out = hallucination risk and low reproducibility. 2. Generic Prompting Without complete schema awareness and contextual examples, SQL output is often wrong or incomplete. 3. Domain-Specific Blind Spots Open-source models often fail on business logic, KPIs, and temporal joins not seen in training data. 4. Small-Scale Fine-Tuning Tiny datasets may teach partial logic without teaching correctness - leading to confident but wrong outputs.
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Trilogy reposted this
AI adoption isn’t the finish line—it’s the starting point. Trilogy has hit 73% #AI tool usage across the org, but we’re not stopping there. The real challenge? Converting usage into measurable business value. Stanislav Huseletov breaks this down brilliantly in his latest article—introducing a framework that distinguishes Prompt Jockeys from Process Killers, and outlining a clear blueprint for cultural transformation. In my comment, I added a few reflections around: • 𝗔𝗜 𝗙𝗮𝗶𝗹𝘂𝗿𝗲 𝗙𝗼𝗿𝘂𝗺𝘀 to encourage smart experimentation • 𝗘𝗺𝗯𝗲𝗱𝗱𝗶𝗻𝗴 𝗔𝗜 𝗰𝗼𝗺𝗽𝗲𝘁𝗲𝗻𝗰𝘆 into performance reviews • 𝗥𝗲𝘄𝗮𝗿𝗱𝗶𝗻𝗴 𝗻𝗼𝘁 𝗷𝘂𝘀𝘁 𝗮𝗱𝗼𝗽𝘁𝗲𝗿𝘀, 𝗯𝘂𝘁 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘀 If you're working on AI at scale, capacity building, or performance strategy—this one’s worth a read.👇 #DigitalTransformation #Leadership #AITransformation #FutureofWork
🚀 Moving from AI usage to true business impact—here’s what we’re trying at Trilogy: One-click “AI win” documentation to capture and share what works Weekly “Explain This Tool” contests to surface practical knowledge Random knowledge sharing—every team member contributes Dedicated exploration time—building skills and driving innovation Our journey isn’t just about having the latest tools—it’s about ensuring AI truly powers the business. Check out the full roadmap and results so far: https://lnkd.in/e7X_Hh2g What’s worked (or failed) in your org? #AI #EnterpriseAI #AIStrategy #AITransformation #DigitalTransformation #EnterpriseAI
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Insights on AI transformation from 6 VP and C-suite leaders, compiled and published by our VP of AI.
I interviewed 6 enterprise VP and C-suite level leaders about AI transformation in their orgs. Here are their collective insights, condensed: Year 1: AI felt like magic Teams adopted dozens of point solutions: from copilots to automation tools, and immediately saw gains. Year 2: The magic wore off a bit. Leaders are hitting a wall. Here’s what they told me: "We have too many disconnected tools solving narrow problems." "It’s hard to maintain brand consistency across AI-generated content." "Teams still spend hours stitching outputs manually across platforms." "Each new use case feels like starting over." The missing piece is orchestration. As AI maturity deepens, enterprises don’t just need more tools, they need a framework that connects them. That means: 1. Robust workflows across tools 2. Centralized, multi-tiered knowledge bases 3. Integrated governance and brand enforcement 4. Measurable, repeatable outcomes The AI tools ecosystem is so early stage that the problem of fragmented tooling cannot be avoided completely. But as newer generations of tools hit the market, mature platforms will emerge, enabling better org-wide integration. What are you seeing in your org's AI journey? Full analysis below. #EnterpriseAI #AITools #AIMaturity #DigitalTransformation #Leadership #AIOrchestration #CIO #CMO #AIAdoption
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