Engineering Manager at Hiya in Budapest

Job description

About Hiya At Hiya, we’re making business calls more trusted, useful, and effective. Voice remains one of the most important ways businesses communicate with their customers, but the value of a call depends on trust. When customers do not recognize who is calling or why, important conversations are missed, customer relationships suffer, and business outcomes are harder to achieve. Hiya helps businesses create trusted calling experiences that benefit both sides of the conversation: enterprises can reach customers with confidence, and customers can answer with confidence. Our products support branded business calling, trusted caller identity, call performance insights, customer engagement, and voice security capabilities that help businesses strengthen relationships and improve outcomes. This role sits in a core business area for Hiya and is focused on helping SMB and enterprise customers succeed. About the Role Hiya’s Protect team builds the systems that detect spam and fraud calls for carriers and customers around the world. Our Budapest engineering team owns critical distributed cloud and data infrastructure that ingests signals, runs model predictions, and powers detection quality at scale. We are looking for an Engineering Manager to lead this Budapest-based team. You will manage approximately six engineers, own delivery and operational outcomes end to end, and partner closely with Product and Data Science to turn detection, reliability, and customer needs into clear execution plans. This role is roughly 60% people and delivery leadership and 40% technical engagement. You will stay close enough to the systems to guide architecture, review designs, and unblock complex work, while building an autonomous team that can execute with clarity and ownership. What You’ll Do • Lead, coach, and develop a team of approximately six engineers. • Create clear ownership, healthy delivery practices, and meaningful growth paths for each team member. • Own delivery and operational outcomes for Protect Engineering, balancing roadmap commitments with reliability, security, technical debt, and data-sovereignty requirements. • Partner with Product and Data Science to translate customer, carrier, and detection needs into clear priorities and executable plans. • Guide the technical direction of distributed cloud and data systems used to detect spam and fraud calls. • Establish predictable planning and execution rhythms, surface risks early, and coordinate dependencies across teams and locations. • Strengthen production ownership through improved observability, incident response, performance management, and continuous improvement. • Help the team adopt and improve AI-assisted software-development workflows while maintaining high standards for design, testing, security, code review, and operations. • Act as a player-coach when needed by reviewing designs, unblocking technical work, and contributing to high-leverage initiatives. • Manage stakeholder expectations with clarity, transparency, and sound judgment. What Success Looks Like • Within your first two months, you have built trusted relationships with your engineers, Product partners, and Data Science counterparts while learning the team’s systems and workflows. • By month three, you have introduced clearer planning rhythms, earlier risk surfacing, and improved coordination around dependencies. • Within your first year, the team operates with greater autonomy, clearer ownership, more predictable delivery, and stronger production operations. • Detection quality, platform reliability, and delivery speed improve measurably under your leadership. • AI-assisted development practices are adopted thoughtfully, with appropriate guardrails and clear evaluation of their impact. • You are positioned for growth into broader leadership scope based on demonstrated impact. What We’re Looking For Required • Around 7-8 years of relevant software engineering experience, including at least 3-4 years in an engineerin