{"id":3048572,"url":"https://alion.io/job/phoenixai-support-engineer-open-to-new-grad","title":"Support Engineer (open to New Grad)","company":{"id":669588,"name":"PhoenixAI","domain":"phoenixai.tech","url":"https://alion.io/company/phoenixai","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Support","role_family":"Support","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Menlo Park, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":100000,"currency":"USD","period":"year","gross":null,"usd_annual":100000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Linux","optional":false},{"name":"SQL","optional":false},{"name":"StarRocks","optional":false},{"name":"Unix","optional":false},{"name":"Bash","optional":true},{"name":"Python","optional":true}],"status":"live","first_seen_at":"2026-10-21T22:56:19Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-27T03:59:32Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"About PhoenixAI\nPhoenixAI is the Agentic AI Database, purpose-built to give autonomous AI agents sub-second access to live enterprise data at massive scale. The platform unifies real-time and at-rest data in a single AI-native engine, combining the speed and concurrency that agentic workloads demand with the governance and deployment flexibility enterprises require to put AI into production. Formerly known as CelerData, PhoenixAI is headquartered in Menlo Park, California. Learn more at phoenixdata.ai\nJob Overview\nWe are looking for a motivated and curious Entry-Level Support Engineer to join our Customer Success team. This role is ideal for a recent graduate eager to dive into technical support, learn about data analytics platforms, and grow with a fast-paced, innovative company. As a Support Engineer, you’ll assist customers in resolving technical issues, optimizing their use of PhoenixAI products, and delivering exceptional customer satisfaction, all while receiving mentorship and hands-on training.\nKey Responsibilities\nCustomer Support: Assist customers via email, chat, or ticketing systems to troubleshoot and resolve basic technical issues related to PhoenixAI’s products, with guidance from senior engineers.\nGo-Live Assistance: Support customers during project deployments by following established guidelines to ensure smooth adoption of PhoenixAI.\nIssue Diagnosis: Learn to identify and resolve common issues, such as query performance or basic integration challenges, using diagnostic tools and team resources.\nTechnical Guidance: Provide clear advice to customers on basic StarRocks and PhoenixAI configurations, data queries, or integrations with tools like BI platforms.\nCase Documentation: Record customer interactions, issues, and resolutions in our support system to build a knowledge base and improve processes.\nFeedback Contribution: Share customer feedback with the team to help improve StarRocks’ usability and support resources.\nKnowledge Sharing: Contribute to creating support materials, such as FAQs or troubleshooting guides, to help customers and streamline support.\nLearning and Growth: Participate in training sessions to develop expertise in SQL, StarRocks/PhoenixAI, and cloud technologies, with opportunities to shadow senior engineers on complex cases.\nQualifications\nEducation: Bachelor’s degree in Computer Science (graduated 2025 or 2026).\nTechnical Skills:\nBasic knowledge of databases, SQL, or data analytics concepts (from coursework, projects, or internships).\nFamiliarity with Linux/Unix commands or cloud platforms (e.g., AWS, GCP, Azure) through academic or personal projects is a plus.\nWillingness to learn about analytical databases (e.g., StarRocks) and real-time analytics tools.\n\nSoft Skills:\nStrong problem-solving mindset with a proactive attitude toward learning and tackling challenges.\nClear written and verbal communication skills to interact professionally with customers and team members.\nCollaborative spirit, eager to work with and learn from cross-functional teams.\n\nExperience: No prior professional experience required; relevant internships, academic projects, or open-source contributions are highly valued.\nBonus Points:\nExposure to scripting (e.g., Python, Bash) through coursework or personal projects.\n\nEvery PhoenixAI hire is held to the same operating bar: own the outcome, seek truth and build trust, move fast with judgment, work AI-first, and raise the bar without ego.\nCompensation\nThe base salary range for this role is $80,000 to $100,000. The offer also includes PhoenixAI's full benefits package. Where you land in the range depends on your experience, scope, and interview results.\nPhoenixAI is an equal opportunity employer. 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