{"id":21925,"url":"https://alion.io/job/pear-vc-founding-engineer-scend","title":"Founding Engineer - Scend","company":{"id":6218,"name":"Pear VC","domain":"pear.vc","url":"https://alion.io/company/pear-vc","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":85,"open_postings":100,"ghost_share":0.16,"stale_share":0,"repost_share":0.01,"time_to_fill_p50_days":173,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Backend","role_family":"Backend","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":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":111000,"max_usd":225000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1037},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"AWS","optional":true},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"LLM","optional":true},{"name":"Pandas","optional":true},{"name":"Sentry","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2025-03-12T18:06:23Z","employer_posted_date":"2025-03-12","last_verified_at":"2026-10-24T04:56:07Z","board_verified":true,"closed_at":null,"days_open":590,"trust":{"level":"ghost","repost_count":1,"flags":["stale","company_stale"],"days_open":590},"description":"Founding Engineer - Scend\nWho We Are\nScend is on a mission to modernize M&A and bring efficiency to private markets. With a strong team, early customers, and backing from top investors like Pear VC, we’re positioned for rapid growth.\nYou’ll join a lean, high-impact team who share a passion for building beautiful, functional products. Our team brings deep expertise across tech and finance: with backgrounds spanning M&A, private equity, consumer fintech, and the Python open-source community.\nOur Values (DEAL)\nDeliver: Everyone ships code, designs features, or works directly with customers to turn ideas into products.\n\nEmpower: We are more than our job titles. If you see a problem or an opportunity, you’re empowered to take action.\n\nAlign: We solve problems together, openly and with humility.\n\nLearn: We’re always exploring new ideas, tools, and ways of working.\n\nThe Role\nYou’ll work directly with our founders to shape the product and architecture from the ground up. As an early team member, you’ll have an outsized impact on everything from system design to our engineering culture. While prior experience is not required, a background or interest in LLMs and Machine Learning is a big plus.\nResponsibilities\nDesign & Build: Architect scalable, high-performance APIs to serve financial data and turn them into product features\n\nAI-Powered Systems: Generate datasets and research reports using LLMs; applying evals and fine-tuning to drive accuracy\n\nData Processing: Process large datasets using Airflow, Pandas, and Spark\n\nWeb Crawling: Develop high-scale systems for crawling sites and docs from the web\n\nInfrastructure: Manage infrastructure with Terraform, Docker, AWS ECS, and monitoring tools like Sentry and CloudWatch\n\nRequirements\n2+ years building scalable software systems\n\nExpertise in Python and SQL\n\nPlus: Comfortable with data processing frameworks (Airflow, Pandas, Spark)\n\nPlus: Familiarity with infra automation tools (Terraform, Docker)\n\nPlus: Background in LLM systems and Machine Learning\n\nPerks & Benefits\n*If you’d like to add a perk, let us know! 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