Her first week was a disaster. The algorithm kept flagging whale pods as ghost nets, sending expensive ASVs on wild chases. The engineering lead, a brilliant but prickly coder named Diego, blamed her data filtering. She blamed his classification model. Their arguments echoed through the hangar at 2 AM.

“Elena,” Kai said, not looking at a resume but at a complex knot of string art on her wall, each thread representing a supply chain failure. “Your last job saved 0.03 cents per parcel. We know. We scraped the public impact report. What we want to know is: can you handle a variable that screams back?”

She called her old cubicle-mate from the logistics firm. “I’m burning out,” she whispered.

By month eight, the romance of the mission collided with the grind of reality. The funding cycle was brutal. NEIA operated on a hybrid model—grants, impact investments, and a small, high-margin consulting arm that helped oil companies monitor pipeline leaks (a bitter irony Elena never fully swallowed). She worked 80-hour weeks. Her sleep schedule dissolved. She snapped at an intern for mislabeling a data log.

Elena thought of her sterile pivot tables. She thought of the 0.03 cents. “Yes,” she said. “When do I start?”

Elena laughed—a real, chest-heaving laugh, the first in months. She didn’t leave.

Elena blinked. “What variable?”

“Come back,” her friend said. “The pivot tables miss you. And the coffee is free.”