Technical Support Engineer $60,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks ($30 USD/hour)
Not accepting applications on crossover.com at this time.
Description
In the fast-paced world of enterprise software, traditional customer support methods often fall short of excellence. Support engineers often find themselves bogged down in repetitive troubleshooting, limited by the narrow scope of their product expertise. Data shows that over 60% of support tickets are escalated due to inadequate problem-solving skills or a lack of product knowledge. This not only frustrates customers but also stifles the growth and satisfaction of support agents.
At Trilogy, we’ve reimagined customer support with the power of AI. Managing over 100 unique enterprise software products, we leverage advanced AI tools to streamline troubleshooting and enhance problem-solving capabilities. Our AI-driven approach not only helps diagnose issues faster but also provides intelligent insights and solutions, making our support team exceptionally efficient and effective. Our AI-powered chatbot crushes most tickets, so only the most complicated customer issues will be escalated to you.
The issues you face in this role will be challenging and diverse, requiring solutions that may involve configuration, database adjustments, or even code-level fixes. This is not a role for those who prefer to stick to familiar routines or spend months mastering a single product. We seek self-starters who can quickly adapt, troubleshoot efficiently, and continuously learn on the job. If you are someone who gets frustrated by rigid processes or needs extensive hand-holding, this is not the right fit for you.
You will be a crucial part of the Trilogy Support team, directly contributing to our reputation for exceptional customer service. This position offers a unique opportunity to advance your career rapidly by developing deep technical expertise across a wide array of products. If you are ready to embrace a challenging yet rewarding role where you can make a significant impact, we encourage you to apply.
What you will be doing
- AI-Augmented Customer Resolutions: Analyze complex tickets escalated by AI systems, apply human expertise to areas where AI falls short, and then close the gap by improving the AI system
- AI Training and Improvement: Review AI-generated solutions and provide detailed feedback and participate in AI model fine-tuning sessions
- Cutting-Edge AI Integration: Prototype and test new AI tools and methodologies
What you will NOT be doing
- Taking two whole months to get up to speed; you will be expected to ramp up on several products within the first month (we are aware this is aggressive)
- Relying on your managers for help; if you are not adept at unblocking yourself, you will likely struggle in this role
Key responsibilities
- Integrate technical human expertise and AI capabilities to deliver exceptional customer support, focusing on complex issues that AI cannot yet fully resolve
Candidate requirements
- At least 4 total years of experience in a technical customer support or engineering role
- Advanced generative AI proficiency (i.e., use of multiple AI tools, ability to automate workflows and custom GPTs); if you've only used LLMs for research, learning, brainstorming, or content generation, that will be deemed insufficient
How it works
Applying for a role? Here’s what to expect.
We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
STEP 6
Celebrate!
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Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
